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remove old comfyUI

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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/.cache/.cache_directory
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{
"items": [
{
"description": "This extension provides preprocessor nodes for using controlnet.",
"id": "https://github.com/Fannovel16/comfyui_controlnet_aux",
"tags": "controlnet"
},
{
"description": "This experimental nodes contains a 'Reference Only' node and a 'ModelSamplerTonemapNoiseTest' node corresponding to the 'Dynamic Threshold'.",
"id": "https://github.com/comfyanonymous/ComfyUI_experiments",
"tags": "Dynamic Thresholding, DT, CFG, controlnet, reference only"
},
{
"description": "To implement the feature of automatically detecting faces and enhancing details, various detection nodes and detailers provided by the Impact Pack can be applied. Similarly to Loopback Scaler, it also provides various custom workflows that can apply Ksampler while gradually scaling up.",
"id": "https://github.com/ltdrdata/ComfyUI-Impact-Pack",
"tags": "ddetailer, adetailer, ddsd, DD, loopback scaler, prompt, wildcard, dynamic prompt"
},
{
"description": "The Inspire Pack provides the functionality of Lora Block Weight, Variation Seed.",
"id": "https://github.com/ltdrdata/ComfyUI-Inspire-Pack",
"tags": "lora block weight, effective block analyzer, lbw, variation seed"
},
{
"description": "This extension provides a feature that generates segment masks on an image using a text prompt. When used in conjunction with Impact Pack, it enables applications such as DDSD.",
"id": "https://github.com/biegert/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py",
"tags": "ddsd"
},
{
"description": "This extension provides a way to recognize and enhance masks for faces similar to Impact Pack.",
"id": "https://github.com/BadCafeCode/masquerade-nodes-comfyui",
"tags": "ddetailer"
},
{
"description": "By using this extension, prompts like 'blue hair' can be prevented from interfering with other prompts by blocking the attribute 'blue' from being used in prompts other than 'hair'.",
"id": "https://github.com/BlenderNeko/ComfyUI_Cutoff",
"tags": "cutoff"
},
{
"description": "There are differences in the processing methods of prompts, such as weighting and scheduling, between A1111 and ComfyUI. With this extension, various settings can be used to implement prompt processing methods similar to A1111. As this feature is also integrated into ComfyUI Cutoff, please download the Cutoff extension if you plan to use it in conjunction with Cutoff.",
"id": "https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb",
"tags": "prompt, weight"
},
{
"description": "There are differences in the processing methods of prompts, such as weighting and scheduling, between A1111 and ComfyUI. This extension helps to reproduce the same embedding as A1111.",
"id": "https://github.com/shiimizu/ComfyUI_smZNodes",
"tags": "prompt, weight"
},
{
"description": "The extension provides an unsampler that reverses the sampling process, allowing for a function similar to img2img alt to be implemented. Furthermore, ComfyUI uses CPU's Random instead of GPU's Random for better reproducibility compared to A1111. This extension provides the ability to use GPU's Random for Latent Noise. However, since GPU's Random may vary depending on the GPU model, reproducibility on different devices cannot be guaranteed.",
"id": "https://github.com/BlenderNeko/ComfyUI_Noise",
"tags": "img2img alt, random"
},
{
"description": "The extension provides seecoder feature.",
"id": "https://github.com/BlenderNeko/ComfyUI_SeeCoder",
"tags": "seecoder, prompt-free-diffusion"
},
{
"description": "This extension provides features such as a wildcard function that randomly selects prompts belonging to a category and the ability to directly load lora from prompts.",
"id": "https://github.com/lilly1987/ComfyUI_node_Lilly",
"tags": "prompt, wildcard"
},
{
"description": "ComfyUI already provides the ability to composite latents by default. However, this extension makes it more convenient to use by visualizing the composite area.",
"id": "https://github.com/Davemane42/ComfyUI_Dave_CustomNode",
"tags": "latent couple"
},
{
"description": "This tool provides a viewer node that allows for checking multiple outputs in a grid, similar to the X/Y Plot extension.",
"id": "https://github.com/LEv145/images-grid-comfy-plugin",
"tags": "X/Y Plot"
},
{
"description": "This extension generates clip text by taking an image as input and using the Deepbooru model.",
"id": "https://github.com/pythongosssss/ComfyUI-WD14-Tagger",
"tags": "deepbooru, clip interrogation"
},
{
"description": "This node takes two models, merges individual blocks together at various ratios, and automatically rates each merge, keeping the ratio with the highest score. ",
"id": "https://github.com/szhublox/ambw_comfyui",
"tags": "supermerger"
},
{
"description": "ComfyUI nodes for the Ultimate Stable Diffusion Upscale script by Coyote-A. Uses the same script used in the A1111 extension to hopefully replicate images generated using the A1111 webui.",
"id": "https://github.com/ssitu/ComfyUI_UltimateSDUpscale",
"tags": "upscaler, Ultimate SD Upscale"
},
{
"description": "A1111 provides KSampler that uses GPU-based random noise. This extension offers KSampler utilizing GPU-based random noise.",
"id": "https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py",
"tags": "random, noise"
},
{
"description": "This extension provides nodes with the functionality of dynamic prompts.",
"id": "https://github.com/space-nuko/nui-suite",
"tags": "prompt, dynamic prompt"
},
{
"description": "This extension provides bunch of nodes including roop",
"id": "https://github.com/melMass/comfy_mtb",
"tags": "roop"
},
{
"description": "This extension provides nodes for the roop A1111 webui script.",
"id": "https://github.com/ssitu/ComfyUI_roop",
"tags": "roop"
},
{
"description": "This extension provides the ability to use prompts like \n\n**a [large::0.1] [cat|dog:0.05] [<lora:somelora:0.5:0.6>::0.5] [in a park:in space:0.4]**\n\n",
"id": "https://github.com/asagi4/comfyui-prompt-control",
"tags": "prompt, prompt editing"
},
{
"description": "This extension is a port of sd-dynamic-prompt to ComfyUI.",
"id": "https://github.com/adieyal/comfyui-dynamicprompts",
"tags": "prompt, dynamic prompt"
},
{
"description": "A Anime Background Remover node for comfyui, based on this hf space, works same as AGB extention in automatic1111.",
"id": "https://github.com/kwaroran/abg-comfyui",
"tags": "abg, background remover"
},
{
"description": "This is a ported version of ComfyUI for the sd-webui-roop-nsfw extension.",
"id": "https://github.com/Gourieff/comfyui-reactor-node",
"tags": "reactor, sd-webui-roop-nsfw"
},
{
"description": "This custom nodes provide a functionality similar to regional prompts, offering couple features at the attention level.",
"id": "https://github.com/laksjdjf/attention-couple-ComfyUI",
"tags": "regional prompt, latent couple, prompt"
},
{
"description": "This custom nodes provide functionality that assists in animation creation, similar to deforum.",
"id": "https://github.com/FizzleDorf/ComfyUI_FizzNodes",
"tags": "deforum"
},
{
"description": "This custom nodes provide functionality that assists in animation creation, similar to deforum.",
"id": "https://github.com/seanlynch/comfyui-optical-flow",
"tags": "deforum, vid2vid"
},
{
"description": "Similar to sd-webui-fabric, this custom nodes provide the functionality of [a/FABRIC](https://github.com/sd-fabric/fabric).",
"id": "https://github.com/ssitu/ComfyUI_fabric",
"tags": "fabric"
},
{
"description": "Similar to text-generation-webui, this custom nodes provide the functionality of [a/exllama](https://github.com/turboderp/exllama).",
"id": "https://github.com/Zuellni/ComfyUI-ExLlama",
"tags": "ExLlama, prompt, language model"
},
{
"description": "ComfyUI node for generating seamless textures Replicates 'Tiling' option from A1111",
"id": "https://github.com/spinagon/ComfyUI-seamless-tiling",
"tags": "tiling"
},
{
"description": "This extension is a port of the [a/sd-webui-cd-tuner](https://github.com/hako-mikan/sd-webui-cd-tuner)(a.k.a. CD(color/Detail) Tuner )and [a/sd-webui-negpip](https://github.com/hako-mikan/sd-webui-negpip)(a.k.a. NegPiP) extensions of A1111 to ComfyUI.",
"id": "https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI",
"tags": "cd-tuner, negpip"
},
{
"description": "This custom node is a port of the Dynamic Thresholding extension from A1111 to make it available for use in ComfyUI.",
"id": "https://github.com/mcmonkeyprojects/sd-dynamic-thresholding",
"tags": "DT, dynamic thresholding"
},
{
"description": "This extension provides custom nodes developed based on [a/LaMa](https://github.com/advimman/lama) and [a/Inpainting anything](https://github.com/geekyutao/Inpaint-Anything).",
"id": "https://github.com/hhhzzyang/Comfyui_Lama",
"tags": "lama, inpainting anything"
},
{
"description": "This extension provides custom nodes for [a/LaMa](https://github.com/advimman/lama) functionality.",
"id": "https://github.com/mlinmg/ComfyUI-LaMA-Preprocessor",
"tags": "lama"
},
{
"description": "This extension provides custom nodes for [a/SD Webui Diffusion Color Grading](https://github.com/Haoming02/sd-webui-diffusion-cg) functionality.",
"id": "https://github.com/Haoming02/comfyui-diffusion-cg",
"tags": "diffusion-cg"
},
{
"description": "This extension provides custom nodes for [a/sd-webui-cads](https://github.com/v0xie/sd-webui-cads) functionality.",
"id": "https://github.com/asagi4/ComfyUI-CADS",
"tags": "diffusion-cg"
},
{
"description": "This extension supports both A1111 and ComfyUI simultaneously.",
"id": "https://git.mmaker.moe/mmaker/sd-webui-color-enhance",
"tags": "color-enhance"
},
{
"description": "This extension provides custom nodes for [a/Mixture of Diffusers](https://github.com/albarji/mixture-of-diffusers) and [a/MultiDiffusion](https://github.com/omerbt/MultiDiffusion)",
"id": "https://github.com/shiimizu/ComfyUI-TiledDiffusion",
"tags": "multidiffusion"
},
{
"description": "This extension provides some alternative functionalities of the [a/sd-webui-bmab](https://github.com/portu-sim/sd-webui-bmab) extension.",
"id": "https://github.com/abyz22/image_control",
"tags": "BMAB"
},
{
"description": "This extension provides some alternative functionalities of the [a/stable-diffusion-webui-sonar](https://github.com/Kahsolt/stable-diffusion-webui-sonar) extension.",
"id": "https://github.com/blepping/ComfyUI-sonar",
"tags": "sonar"
}
]
}
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__pycache__/
.idea/
.vscode/
.tmp
.cache
config.ini
snapshots/**
startup-scripts/**
.openart_key
.youml
matrix_auth
channels.list
comfyworkflows_sharekey
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/LICENSE.txt
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/README.md
-320
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@@ -1,320 +0,0 @@
# ComfyUI Manager
**ComfyUI-Manager** is an extension designed to enhance the usability of [ComfyUI](https://github.com/comfyanonymous/ComfyUI). It offers management functions to **install, remove, disable, and enable** various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI.
![menu](misc/menu.jpg)
## NOTICE
* 🏆 Join us for the [ComfyUI Workflow Contest](https://contest.openart.ai/), hosted by OpenArt AI (11.27.2023 - 12.15.2023). Our esteemed judge panel includes Scott E. Detweiler, Olivio Sarikas, MERJIC麦橘, among others. We're also thrilled to have the authors of ComfyUI Manager and AnimateDiff as our special guests!
* If you wish to hide the "Share" button, click "Manager" and choose "Share: None" option.
* You can see whole nodes info on [ComfyUI Nodes Info](https://ltdrdata.github.io/) page.
* Versions prior to V0.22.2 will no longer detect missing nodes unless using a local database. Please update ComfyUI-Manager to the latest version.
## Installation
### Installation[method1] (General installation method: ComfyUI-Manager only)
To install ComfyUI-Manager in addition to an existing installation of ComfyUI, you can follow the following steps:
1. goto `ComfyUI/custom_nodes` dir in terminal(cmd)
2. `git clone https://github.com/ltdrdata/ComfyUI-Manager.git`
3. Restart ComfyUI
### Installation[method2] (Installation for portable ComfyUI version: ComfyUI-Manager only)
1. install git
- https://git-scm.com/download/win
- standalone version
- select option: use windows default console window
2. Download [scripts/install-manager-for-portable-version.bat](https://github.com/ltdrdata/ComfyUI-Manager/raw/main/scripts/install-manager-for-portable-version.bat) into installed `"ComfyUI_windows_portable"` directory
3. double click `install-manager-for-portable-version.bat` batch file
![portable-install](misc/portable-install.png)
### Installation[method3] (Installation for linux+venv: ComfyUI + ComfyUI-Manager)
To install ComfyUI with ComfyUI-Manager on Linux using a venv environment, you can follow these steps:
prerequisite: python-is-python3, python3-venv
1. Download [scripts/install-comfyui-venv-linux.sh](https://github.com/ltdrdata/ComfyUI-Manager/raw/main/scripts/install-comfyui-venv-linux.sh) into empty install directory
- ComfyUI will be installed in the subdirectory of the specified directory, and the directory will contain the generated executable script.
2. `chmod +x install-comfyui-venv-linux.sh`
3. `./install-comfyui-venv-linux.sh`
### Installation Precautions
* **DO**: `ComfyUI-Manager` files must be accurately located in the path `ComfyUI/custom_nodes/ComfyUI-Manager`
* Installing in a compressed file format is not recommended.
* **DON'T**: Decompress directly into the `ComfyUI/custom_nodes` location, resulting in the Manager contents like `__init__.py` being placed directly in that directory.
* You have to remove all ComfyUI-Manager files from `ComfyUI/custom_nodes`
* **DON'T**: In a form where decompression occurs in a path such as `ComfyUI/custom_nodes/ComfyUI-Manager/ComfyUI-Manager`.
* You have to move `ComfyUI/custom_nodes/ComfyUI-Manager/ComfyUI-Manager` to `ComfyUI/custom_nodes/ComfyUI-Manager`
* **DON'T**: In a form where decompression occurs in a path such as `ComfyUI/custom_nodes/ComfyUI-Manager-main`.
* In such cases, `ComfyUI-Manager` may operate, but it won't be recognized within `ComfyUI-Manager`, and updates cannot be performed. It also poses the risk of duplicate installations.
* You have to rename `ComfyUI/custom_nodes/ComfyUI-Manager-main` to `ComfyUI/custom_nodes/ComfyUI-Manager`
You can execute ComfyUI by running either `./run_gpu.sh` or `./run_cpu.sh` depending on your system configuration.
## Colab Notebook
This repository provides Colab notebooks that allow you to install and use ComfyUI, including ComfyUI-Manager. To use ComfyUI, [click on this link](https://colab.research.google.com/github/ltdrdata/ComfyUI-Manager/blob/main/notebooks/comfyui_colab_with_manager.ipynb).
* Support for installing ComfyUI
* Support for basic installation of ComfyUI-Manager
* Support for automatically installing dependencies of custom nodes upon restarting Colab notebooks.
## Changes
* **2.4** Copy the connections of the nearest node by double-clicking.
* **2.2.3** Support Components System
* **0.29** Add `Update all` feature
* **0.25** support db channel
* You can directly modify the db channel settings in the `config.ini` file.
* If you want to maintain a new DB channel, please modify the `channels.list` and submit a PR.
* **0.23** support multiple selection
* **0.18.1** `skip update check` feature added.
* A feature that allows quickly opening windows in environments where update checks take a long time.
* **0.17.1** Bug fix for the issue where enable/disable of the web extension was not working. Compatibility patch for StableSwarmUI.
* Requires latest version of ComfyUI (Revision: 1240)
* **0.17** Support preview method setting feature.
* **0.14** Support robust update.
* **0.13** Support additional 'pip' section for install spec.
* **0.12** Better installation support for Windows.
* **0.9** Support keyword search in installer menu.
* **V0.7.1** Bug fix for the issue where updates were not being applied on Windows.
* **For those who have been using versions 0.6, please perform a manual git pull in the custom_nodes/ComfyUI-Manager directory.**
* **V0.7** To address the issue of a slow list refresh, separate the fetch update and update check processes.
* **V0.6** Support extension installation for missing nodes.
* **V0.5** Removed external git program dependencies.
## How To Use
1. Click "Manager" button on main menu
![mainmenu](misc/main.jpg)
2. If you click on 'Install Custom Nodes' or 'Install Models', an installer dialog will open.
![menu](misc/menu.jpg)
* There are three DB modes: `DB: Channel (1day cache)`, `DB: Local`, and `DB: Channel (remote)`.
* `Channel (1day cache)` utilizes Channel cache information with a validity period of one day to quickly display the list.
* This information will be updated when there is no cache, when the cache expires, or when external information is retrieved through the Channel (remote).
* Whenever you start ComfyUI anew, this mode is always set as the **default** mode.
* `Local` uses information stored locally in ComfyUI-Manager.
* This information will be updated only when you update ComfyUI-Manager.
* For custom node developers, they should use this mode when registering their nodes in `custom-node-list.json` and testing them.
* `Channel (remote)` retrieves information from the remote channel, always displaying the latest list.
* In cases where retrieval is not possible due to network errors, it will forcibly use local information.
* The ```Fetch Updates``` menu retrieves update data for custom nodes locally. Actual updates are applied by clicking the ```Update``` button in the ```Install Custom Nodes``` menu.
3. Click 'Install' or 'Try Install' button.
![node-install-dialog](misc/custom-nodes.jpg)
![model-install-dialog](misc/models.png)
* Installed: This item is already installed.
* Install: Clicking this button will install the item.
* Try Install: This is a custom node of which installation information cannot be confirmed. Click the button to try installing it.
* If a red background `Channel` indicator appears at the top, it means it is not the default channel. Since the amount of information held is different from the default channel, many custom nodes may not appear in this channel state.
* Channel settings have a broad impact, affecting not only the node list but also all functions like "Update all."
* Conflicted Nodes with a yellow background show a list of nodes conflicting with other extensions in the respective extension. This issue needs to be addressed by the developer, and users should be aware that due to these conflicts, some nodes may not function correctly and may need to be installed accordingly.
4. If you set the `Badge:` item in the menu as `Badge: Nickname`, `Badge: Nickname (hide built-in)`, `Badge: #ID Nickname`, `Badge: #ID Nickname (hide built-in)` the information badge will be displayed on the node.
* When selecting (hide built-in), it hides the 🦊 icon, which signifies built-in nodes.
* Nodes without any indication on the badge are custom nodes that Manager cannot recognize.
* `Badge: Nickname` displays the nickname of custom nodes, while `Badge: #ID Nickname` also includes the internal ID of the node.
![model-install-dialog](misc/nickname.jpg)
5. Share
![menu](misc/main.jpg) ![share](misc/share.jpg)
* You can share the workflow by clicking the Share button at the bottom of the main menu or selecting Share Output from the Context Menu of the Image node.
* Currently, it supports sharing via [https://comfyworkflows.com/](https://comfyworkflows.com/),
[https://openart.ai](https://openart.ai/workflows/dev), [https://youml.com](https://youml.com)
as well as through the Matrix channel.
![menu](misc/share-setting.jpg)
* Through the Share settings in the Manager menu, you can configure the behavior of the Share button in the Main menu or Share Ouput button on Context Menu.
* `None`: hide from Main menu
* `All`: Show a dialog where the user can select a title for sharing.
## Snapshot-Manager
* When you press `Save snapshot` or use `Update All` on `Manager Menu`, the current installation status snapshot is saved.
* Snapshot file dir: `ComfyUI-Manager/snapshots`
* You can rename snapshot file.
* Press the "Restore" button to revert to the installation status of the respective snapshot.
* However, for custom nodes not managed by Git, snapshot support is incomplete.
* When you press `Restore`, it will take effect on the next ComfyUI startup.
![model-install-dialog](misc/snapshot.jpg)
## How to register your custom node into ComfyUI-Manager
* Add an entry to `custom-node-list.json` located in the root of ComfyUI-Manager and submit a Pull Request.
* NOTE: Before submitting the PR after making changes, please check `Use local DB` and ensure that the extension list loads without any issues in the `Install custom nodes` dialog. Occasionally, missing or extra commas can lead to JSON syntax errors.
* The remaining JSON will be updated through scripts in the future, so you don't need to worry about it.
## Custom node support guide
* Currently, the system operates by cloning the git repository and sequentially installing the dependencies listed in requirements.txt using pip, followed by invoking the install.py script. In the future, we plan to discuss and determine the specifications for supporting custom nodes.
* Please submit a pull request to update either the custom-node-list.json or model-list.json file.
* The scanner currently provides a detection function for missing nodes, which is capable of detecting nodes described by the following two patterns.
* Or you can provide manually `node_list.json` file.
```
NODE_CLASS_MAPPINGS = {
"ExecutionSwitch": ExecutionSwitch,
"ExecutionBlocker": ExecutionBlocker,
...
}
NODE_CLASS_MAPPINGS.update({
"UniFormer-SemSegPreprocessor": Uniformer_SemSegPreprocessor,
"SemSegPreprocessor": Uniformer_SemSegPreprocessor,
})
```
* When you write a docstring in the header of the .py file for the Node as follows, it will be used for managing the database in the Manager.
* Currently, only the `nickname` is being used, but other parts will also be utilized in the future.
* The `nickname` will be the name displayed on the badge of the node.
* If there is no `nickname`, it will be truncated to 20 characters from the arbitrarily written title and used.
```
"""
@author: Dr.Lt.Data
@title: Impact Pack
@nickname: Impact Pack
@description: This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler.
"""
```
* **Special purpose files** (optional)
* `node_list.json` - When your custom nodes pattern of NODE_CLASS_MAPPINGS is not conventional, it is used to manually provide a list of nodes for reference. ([example](https://github.com/melMass/comfy_mtb/raw/main/node_list.json))
* `requirements.txt` - When installing, this pip requirements will be installed automatically
* `install.py` - When installing, it is automatically called
* `uninstall.py` - When uninstalling, it is automatically called
* `disable.py` - When disabled, it is automatically called
* When installing a custom node setup `.js` file, it is recommended to write this script for disabling.
* `enable.py` - When enabled, it is automatically called
* **All scripts are executed from the root path of the corresponding custom node.**
## Component Sharing
* **Copy & Paste**
* [Demo Page](https://ltdrdata.github.io/component-demo/)
* When pasting a component from the clipboard, it supports text in the following JSON format. (text/plain)
```
{
"kind": "ComfyUI Components",
"timestamp": <current timestamp>,
"components":
{
<component name>: <component nodedata>
}
}
```
* `<current timestamp>` Ensure that the timestamp is always unique.
* "components" should have the same structure as the content of the file stored in ComfyUI-Manager/components.
* `<component name>`: The name should be in the format `<prefix>::<node name>`.
* `<compnent nodeata>`: In the nodedata of the group node.
* `<version>`: Only two formats are allowed: `major.minor.patch` or `major.minor`. (e.g. `1.0`, `2.2.1`)
* `<datetime>`: Saved time
* `<packname>`: If the packname is not empty, the category becomes packname/workflow, and it is saved in the <packname>.pack file in ComfyUI-Manager/components.
* `<category>`: If there is neither a category nor a packname, it is saved in the components category.
```
"version":"1.0",
"datetime": 1705390656516,
"packname": "mypack",
"category": "util/pipe",
```
* **Drag & Drop**
* Dragging and dropping a `.pack` or `.json` file will add the corresponding components.
* Example pack: [Impact.pack](misc/Impact.pack)
* Dragging and dropping or pasting a single component will add a node. However, when adding multiple components, nodes will not be added.
## Support of missing nodes installation
![missing-menu](misc/missing-menu.png)
* When you click on the ```Install Missing Custom Nodes``` button in the menu, it displays a list of extension nodes that contain nodes not currently present in the workflow.
![missing-list](misc/missing-list.png)
## Additional Feature
* Logging to file feature
* This feature is enabled by default and can be disabled by setting `file_logging = False` in the `config.ini`.
* Fix node(recreate): When right-clicking on a node and selecting `Fix node (recreate)`, you can recreate the node. The widget's values are reset, while the connections maintain those with the same names.
* It is used to correct errors in nodes of old workflows created before, which are incompatible with the version changes of custom nodes.
* Double-Click Node Title: You can set the double click behavior of nodes in the ComfyUI-Manager menu.
* `Copy All Connections`, `Copy Input Connections`: Double-clicking a node copies the connections of the nearest node.
* This action targets the nearest node within a straight-line distance of 1000 pixels from the center of the node.
* In the case of `Copy All Connections`, it duplicates existing outputs, but since it does not allow duplicate connections, the existing output connections of the original node are disconnected.
* This feature copies only the input and output that match the names.
* `Possible Input Connections`: It connects all outputs that match the closest type within the specified range.
* This connection links to the closest outputs among the nodes located on the left side of the target node.
* `Possible(left) + Copy(right)`: When you Double-Click on the left half of the title, it operates as `Possible Input Connections`, and when you Double-Click on the right half, it operates as `Copy All Connections`.
## Troubleshooting
* If your `git.exe` is installed in a specific location other than system git, please install ComfyUI-Manager and run ComfyUI. Then, specify the path including the file name in `git_exe = ` in the ComfyUI-Manager/config.ini file that is generated.
* If updating ComfyUI-Manager itself fails, please go to the **ComfyUI-Manager** directory and execute the command `git update-ref refs/remotes/origin/main a361cc1 && git fetch --all && git pull`.
* Alternatively, download the update-fix.py script from [update-fix.py](https://github.com/ltdrdata/ComfyUI-Manager/raw/main/scripts/update-fix.py) and place it in the ComfyUI-Manager directory. Then, run it using your Python command.
For the portable version, use `..\..\..\python_embeded\python.exe update-fix.py`.
* For cases where nodes like `PreviewTextNode` from `ComfyUI_Custom_Nodes_AlekPet` are only supported as front-end nodes, we currently do not provide missing nodes for them.
* Currently, `vid2vid` is not being updated, causing compatibility issues.
* If you encounter the error message `Overlapped Object has pending operation at deallocation on Comfyui Manager load` under Windows
* Edit `config.ini` file: add `windows_selector_event_loop_policy = True`
## TODO: Unconventional form of custom node list
* https://github.com/diontimmer/Sample-Diffusion-ComfyUI-Extension
* https://github.com/senshilabs/NINJA-plugin
* https://github.com/MockbaTheBorg/Nodes
* https://github.com/StartHua/Comfyui_GPT_Story
* https://github.com/NielsGercama/comfyui_customsampling
* https://github.com/wrightdaniel2017/ComfyUI-VideoLipSync
## Roadmap
- [x] System displaying information about failed custom nodes import.
- [x] Guide for missing nodes in ComfyUI vanilla nodes.
- [x] Collision checking system for nodes with the same ID across extensions.
- [x] Template sharing system. (-> Component system based on Group Nodes)
- [x] 3rd party API system.
- [ ] Auto migration for custom nodes with changed structures.
- [ ] Version control feature for nodes.
- [ ] List of currently used custom nodes.
- [ ] Download support multiple model download.
- [ ] Model download via url.
- [ ] List sorting.
- [ ] Provides description of node.
# Disclaimer
* This extension simply provides the convenience of installing custom nodes and does not guarantee their proper functioning.
## Credit
ComfyUI/[ComfyUI](https://github.com/comfyanonymous/ComfyUI) - A powerful and modular stable diffusion GUI.
**And, for all ComfyUI custom node developers**
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/__init__.py
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/alter-list.json
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{
"items": [
{
"id":"https://github.com/Fannovel16/comfyui_controlnet_aux",
"tags":"controlnet",
"description": "This extension provides preprocessor nodes for using controlnet."
},
{
"id":"https://github.com/comfyanonymous/ComfyUI_experiments",
"tags":"Dynamic Thresholding, DT, CFG, controlnet, reference only",
"description": "This experimental nodes contains a 'Reference Only' node and a 'ModelSamplerTonemapNoiseTest' node corresponding to the 'Dynamic Threshold'."
},
{
"id":"https://github.com/ltdrdata/ComfyUI-Impact-Pack",
"tags":"ddetailer, adetailer, ddsd, DD, loopback scaler, prompt, wildcard, dynamic prompt",
"description": "To implement the feature of automatically detecting faces and enhancing details, various detection nodes and detailers provided by the Impact Pack can be applied. Similarly to Loopback Scaler, it also provides various custom workflows that can apply Ksampler while gradually scaling up."
},
{
"id":"https://github.com/ltdrdata/ComfyUI-Inspire-Pack",
"tags":"lora block weight, effective block analyzer, lbw, variation seed",
"description": "The Inspire Pack provides the functionality of Lora Block Weight, Variation Seed."
},
{
"id":"https://github.com/biegert/ComfyUI-CLIPSeg/raw/main/custom_nodes/clipseg.py",
"tags":"ddsd",
"description": "This extension provides a feature that generates segment masks on an image using a text prompt. When used in conjunction with Impact Pack, it enables applications such as DDSD."
},
{
"id":"https://github.com/BadCafeCode/masquerade-nodes-comfyui",
"tags":"ddetailer",
"description": "This extension provides a way to recognize and enhance masks for faces similar to Impact Pack."
},
{
"id":"https://github.com/BlenderNeko/ComfyUI_Cutoff",
"tags":"cutoff",
"description": "By using this extension, prompts like 'blue hair' can be prevented from interfering with other prompts by blocking the attribute 'blue' from being used in prompts other than 'hair'."
},
{
"id":"https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb",
"tags":"prompt, weight",
"description": "There are differences in the processing methods of prompts, such as weighting and scheduling, between A1111 and ComfyUI. With this extension, various settings can be used to implement prompt processing methods similar to A1111. As this feature is also integrated into ComfyUI Cutoff, please download the Cutoff extension if you plan to use it in conjunction with Cutoff."
},
{
"id":"https://github.com/shiimizu/ComfyUI_smZNodes",
"tags":"prompt, weight",
"description": "There are differences in the processing methods of prompts, such as weighting and scheduling, between A1111 and ComfyUI. This extension helps to reproduce the same embedding as A1111."
},
{
"id":"https://github.com/BlenderNeko/ComfyUI_Noise",
"tags":"img2img alt, random",
"description": "The extension provides an unsampler that reverses the sampling process, allowing for a function similar to img2img alt to be implemented. Furthermore, ComfyUI uses CPU's Random instead of GPU's Random for better reproducibility compared to A1111. This extension provides the ability to use GPU's Random for Latent Noise. However, since GPU's Random may vary depending on the GPU model, reproducibility on different devices cannot be guaranteed."
},
{
"id":"https://github.com/BlenderNeko/ComfyUI_SeeCoder",
"tags":"seecoder, prompt-free-diffusion",
"description": "The extension provides seecoder feature."
},
{
"id":"https://github.com/lilly1987/ComfyUI_node_Lilly",
"tags":"prompt, wildcard",
"description": "This extension provides features such as a wildcard function that randomly selects prompts belonging to a category and the ability to directly load lora from prompts."
},
{
"id":"https://github.com/Davemane42/ComfyUI_Dave_CustomNode",
"tags":"latent couple",
"description": "ComfyUI already provides the ability to composite latents by default. However, this extension makes it more convenient to use by visualizing the composite area."
},
{
"id":"https://github.com/LEv145/images-grid-comfy-plugin",
"tags":"X/Y Plot",
"description": "This tool provides a viewer node that allows for checking multiple outputs in a grid, similar to the X/Y Plot extension."
},
{
"id":"https://github.com/pythongosssss/ComfyUI-WD14-Tagger",
"tags":"deepbooru, clip interrogation",
"description": "This extension generates clip text by taking an image as input and using the Deepbooru model."
},
{
"id":"https://github.com/szhublox/ambw_comfyui",
"tags":"supermerger",
"description": "This node takes two models, merges individual blocks together at various ratios, and automatically rates each merge, keeping the ratio with the highest score. "
},
{
"id":"https://github.com/ssitu/ComfyUI_UltimateSDUpscale",
"tags":"upscaler, Ultimate SD Upscale",
"description": "ComfyUI nodes for the Ultimate Stable Diffusion Upscale script by Coyote-A. Uses the same script used in the A1111 extension to hopefully replicate images generated using the A1111 webui."
},
{
"id":"https://github.com/dawangraoming/ComfyUI_ksampler_gpu/raw/main/ksampler_gpu.py",
"tags":"random, noise",
"description": "A1111 provides KSampler that uses GPU-based random noise. This extension offers KSampler utilizing GPU-based random noise."
},
{
"id":"https://github.com/space-nuko/nui-suite",
"tags":"prompt, dynamic prompt",
"description": "This extension provides nodes with the functionality of dynamic prompts."
},
{
"id":"https://github.com/melMass/comfy_mtb",
"tags":"roop",
"description": "This extension provides bunch of nodes including roop"
},
{
"id":"https://github.com/ssitu/ComfyUI_roop",
"tags":"roop",
"description": "This extension provides nodes for the roop A1111 webui script."
},
{
"id":"https://github.com/asagi4/comfyui-prompt-control",
"tags":"prompt, prompt editing",
"description": "This extension provides the ability to use prompts like \n\n**a [large::0.1] [cat|dog:0.05] [<lora:somelora:0.5:0.6>::0.5] [in a park:in space:0.4]**\n\n"
},
{
"id":"https://github.com/adieyal/comfyui-dynamicprompts",
"tags":"prompt, dynamic prompt",
"description": "This extension is a port of sd-dynamic-prompt to ComfyUI."
},
{
"id":"https://github.com/kwaroran/abg-comfyui",
"tags":"abg, background remover",
"description": "A Anime Background Remover node for comfyui, based on this hf space, works same as AGB extention in automatic1111."
},
{
"id":"https://github.com/Gourieff/comfyui-reactor-node",
"tags":"reactor, sd-webui-roop-nsfw",
"description": "This is a ported version of ComfyUI for the sd-webui-roop-nsfw extension."
},
{
"id":"https://github.com/laksjdjf/attention-couple-ComfyUI",
"tags":"regional prompt, latent couple, prompt",
"description": "This custom nodes provide a functionality similar to regional prompts, offering couple features at the attention level."
},
{
"id":"https://github.com/FizzleDorf/ComfyUI_FizzNodes",
"tags":"deforum",
"description": "This custom nodes provide functionality that assists in animation creation, similar to deforum."
},
{
"id":"https://github.com/seanlynch/comfyui-optical-flow",
"tags":"deforum, vid2vid",
"description": "This custom nodes provide functionality that assists in animation creation, similar to deforum."
},
{
"id":"https://github.com/ssitu/ComfyUI_fabric",
"tags":"fabric",
"description": "Similar to sd-webui-fabric, this custom nodes provide the functionality of [a/FABRIC](https://github.com/sd-fabric/fabric)."
},
{
"id":"https://github.com/Zuellni/ComfyUI-ExLlama",
"tags":"ExLlama, prompt, language model",
"description": "Similar to text-generation-webui, this custom nodes provide the functionality of [a/exllama](https://github.com/turboderp/exllama)."
},
{
"id":"https://github.com/spinagon/ComfyUI-seamless-tiling",
"tags":"tiling",
"description": "ComfyUI node for generating seamless textures Replicates 'Tiling' option from A1111"
},
{
"id":"https://github.com/laksjdjf/cd-tuner_negpip-ComfyUI",
"tags":"cd-tuner, negpip",
"description": "This extension is a port of the [a/sd-webui-cd-tuner](https://github.com/hako-mikan/sd-webui-cd-tuner)(a.k.a. CD(color/Detail) Tuner )and [a/sd-webui-negpip](https://github.com/hako-mikan/sd-webui-negpip)(a.k.a. NegPiP) extensions of A1111 to ComfyUI."
},
{
"id":"https://github.com/mcmonkeyprojects/sd-dynamic-thresholding",
"tags":"DT, dynamic thresholding",
"description": "This custom node is a port of the Dynamic Thresholding extension from A1111 to make it available for use in ComfyUI."
},
{
"id":"https://github.com/hhhzzyang/Comfyui_Lama",
"tags":"lama, inpainting anything",
"description": "This extension provides custom nodes developed based on [a/LaMa](https://github.com/advimman/lama) and [a/Inpainting anything](https://github.com/geekyutao/Inpaint-Anything)."
},
{
"id":"https://github.com/mlinmg/ComfyUI-LaMA-Preprocessor",
"tags":"lama",
"description": "This extension provides custom nodes for [a/LaMa](https://github.com/advimman/lama) functionality."
},
{
"id":"https://github.com/Haoming02/comfyui-diffusion-cg",
"tags":"diffusion-cg",
"description": "This extension provides custom nodes for [a/SD Webui Diffusion Color Grading](https://github.com/Haoming02/sd-webui-diffusion-cg) functionality."
},
{
"id":"https://github.com/asagi4/ComfyUI-CADS",
"tags":"diffusion-cg",
"description": "This extension provides custom nodes for [a/sd-webui-cads](https://github.com/v0xie/sd-webui-cads) functionality."
},
{
"id":"https://git.mmaker.moe/mmaker/sd-webui-color-enhance",
"tags":"color-enhance",
"description": "This extension supports both A1111 and ComfyUI simultaneously."
},
{
"id":"https://github.com/shiimizu/ComfyUI-TiledDiffusion",
"tags":"multidiffusion",
"description": "This extension provides custom nodes for [a/Mixture of Diffusers](https://github.com/albarji/mixture-of-diffusers) and [a/MultiDiffusion](https://github.com/omerbt/MultiDiffusion)"
},
{
"id":"https://github.com/abyz22/image_control",
"tags":"BMAB",
"description": "This extension provides some alternative functionalities of the [a/sd-webui-bmab](https://github.com/portu-sim/sd-webui-bmab) extension."
},
{
"id":"https://github.com/blepping/ComfyUI-sonar",
"tags":"sonar",
"description": "This extension provides some alternative functionalities of the [a/stable-diffusion-webui-sonar](https://github.com/Kahsolt/stable-diffusion-webui-sonar) extension."
}
]
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/channels.list.template
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default::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main
recent::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/new
legacy::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/legacy
forked::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/forked
dev::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/dev
tutorial::https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/node_db/tutorial
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/check.bat
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@echo off
python json-checker.py "custom-node-list.json"
python json-checker.py "model-list.json"
python json-checker.py "alter-list.json"
python json-checker.py "extension-node-map.json"
python json-checker.py "node_db\new\custom-node-list.json"
python json-checker.py "node_db\new\model-list.json"
python json-checker.py "node_db\new\extension-node-map.json"
python json-checker.py "node_db\dev\custom-node-list.json"
python json-checker.py "node_db\dev\model-list.json"
python json-checker.py "node_db\dev\extension-node-map.json"
python json-checker.py "node_db\tutorial\custom-node-list.json"
python json-checker.py "node_db\tutorial\model-list.json"
python json-checker.py "node_db\tutorial\extension-node-map.json"
python json-checker.py "node_db\legacy\custom-node-list.json"
python json-checker.py "node_db\legacy\model-list.json"
python json-checker.py "node_db\legacy\extension-node-map.json"
python json-checker.py "node_db\forked\custom-node-list.json"
python json-checker.py "node_db\forked\model-list.json"
python json-checker.py "node_db\forked\extension-node-map.json"
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/check.sh
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#!/bin/bash
files=(
"custom-node-list.json"
"model-list.json"
"alter-list.json"
"extension-node-map.json"
"node_db/new/custom-node-list.json"
"node_db/new/model-list.json"
"node_db/new/extension-node-map.json"
"node_db/dev/custom-node-list.json"
"node_db/dev/model-list.json"
"node_db/dev/extension-node-map.json"
"node_db/tutorial/custom-node-list.json"
"node_db/tutorial/model-list.json"
"node_db/tutorial/extension-node-map.json"
"node_db/legacy/custom-node-list.json"
"node_db/legacy/model-list.json"
"node_db/legacy/extension-node-map.json"
"node_db/forked/custom-node-list.json"
"node_db/forked/model-list.json"
"node_db/forked/extension-node-map.json"
)
for file in "${files[@]}"; do
python json-checker.py "$file"
done
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/components/.gitignore
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*.json
*.pack
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/config.ini
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[default]
preview_method = none
badge_mode = none
git_exe =
channel_url = https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main
share_option = all
bypass_ssl = False
file_logging = True
default_ui = none
component_policy = workflow
double_click_policy = copy-all
windows_selector_event_loop_policy = False
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/custom-node-list.json
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/git_helper.py
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import sys
import os
import git
import configparser
import re
import json
from torchvision.datasets.utils import download_url
from tqdm.auto import tqdm
from git.remote import RemoteProgress
config_path = os.path.join(os.path.dirname(__file__), "config.ini")
nodelist_path = os.path.join(os.path.dirname(__file__), "custom-node-list.json")
working_directory = os.getcwd()
class GitProgress(RemoteProgress):
def __init__(self):
super().__init__()
self.pbar = tqdm(ascii=True)
def update(self, op_code, cur_count, max_count=None, message=''):
self.pbar.total = max_count
self.pbar.n = cur_count
self.pbar.pos = 0
self.pbar.refresh()
def gitclone(custom_nodes_path, url, target_hash=None):
repo_name = os.path.splitext(os.path.basename(url))[0]
repo_path = os.path.join(custom_nodes_path, repo_name)
# Clone the repository from the remote URL
repo = git.Repo.clone_from(url, repo_path, recursive=True, progress=GitProgress())
if target_hash is not None:
print(f"CHECKOUT: {repo_name} [{target_hash}]")
repo.git.checkout(target_hash)
repo.git.clear_cache()
repo.close()
def gitcheck(path, do_fetch=False):
try:
# Fetch the latest commits from the remote repository
repo = git.Repo(path)
if repo.head.is_detached:
print("CUSTOM NODE CHECK: True")
return
current_branch = repo.active_branch
branch_name = current_branch.name
remote_name = 'origin'
remote = repo.remote(name=remote_name)
if do_fetch:
remote.fetch()
# Get the current commit hash and the commit hash of the remote branch
commit_hash = repo.head.commit.hexsha
remote_commit_hash = repo.refs[f'{remote_name}/{branch_name}'].object.hexsha
# Compare the commit hashes to determine if the local repository is behind the remote repository
if commit_hash != remote_commit_hash:
# Get the commit dates
commit_date = repo.head.commit.committed_datetime
remote_commit_date = repo.refs[f'{remote_name}/{branch_name}'].object.committed_datetime
# Compare the commit dates to determine if the local repository is behind the remote repository
if commit_date < remote_commit_date:
print("CUSTOM NODE CHECK: True")
else:
print("CUSTOM NODE CHECK: False")
except Exception as e:
print(e)
print("CUSTOM NODE CHECK: Error")
def switch_to_default_branch(repo):
show_result = repo.git.remote("show", "origin")
matches = re.search(r"\s*HEAD branch:\s*(.*)", show_result)
if matches:
default_branch = matches.group(1)
repo.git.checkout(default_branch)
def gitpull(path):
# Check if the path is a git repository
if not os.path.exists(os.path.join(path, '.git')):
raise ValueError('Not a git repository')
# Pull the latest changes from the remote repository
repo = git.Repo(path)
if repo.is_dirty():
repo.git.stash()
commit_hash = repo.head.commit.hexsha
try:
if repo.head.is_detached:
switch_to_default_branch(repo)
current_branch = repo.active_branch
branch_name = current_branch.name
remote_name = 'origin'
remote = repo.remote(name=remote_name)
remote.fetch()
remote_commit_hash = repo.refs[f'{remote_name}/{branch_name}'].object.hexsha
if commit_hash == remote_commit_hash:
print("CUSTOM NODE PULL: None") # there is no update
repo.close()
return
remote.pull()
repo.git.submodule('update', '--init', '--recursive')
new_commit_hash = repo.head.commit.hexsha
if commit_hash != new_commit_hash:
print("CUSTOM NODE PULL: Success") # update success
else:
print("CUSTOM NODE PULL: Fail") # update fail
except Exception as e:
print(e)
print("CUSTOM NODE PULL: Fail") # unknown git error
repo.close()
def checkout_comfyui_hash(target_hash):
repo_path = os.path.join(working_directory, '..') # ComfyUI dir
repo = git.Repo(repo_path)
commit_hash = repo.head.commit.hexsha
if commit_hash != target_hash:
try:
print(f"CHECKOUT: ComfyUI [{target_hash}]")
repo.git.checkout(target_hash)
except git.GitCommandError as e:
print(f"Error checking out the ComfyUI: {str(e)}")
def checkout_custom_node_hash(git_custom_node_infos):
repo_name_to_url = {}
for url in git_custom_node_infos.keys():
repo_name = url.split('/')[-1]
if repo_name.endswith('.git'):
repo_name = repo_name[:-4]
repo_name_to_url[repo_name] = url
for path in os.listdir(working_directory):
if path.endswith("ComfyUI-Manager"):
continue
fullpath = os.path.join(working_directory, path)
if os.path.isdir(fullpath):
is_disabled = path.endswith(".disabled")
try:
git_dir = os.path.join(fullpath, '.git')
if not os.path.exists(git_dir):
continue
need_checkout = False
repo_name = os.path.basename(fullpath)
if repo_name.endswith('.disabled'):
repo_name = repo_name[:-9]
item = git_custom_node_infos[repo_name_to_url[repo_name]]
if item['disabled'] and is_disabled:
pass
elif item['disabled'] and not is_disabled:
# disable
print(f"DISABLE: {repo_name}")
new_path = fullpath + ".disabled"
os.rename(fullpath, new_path)
pass
elif not item['disabled'] and is_disabled:
# enable
print(f"ENABLE: {repo_name}")
new_path = fullpath[:-9]
os.rename(fullpath, new_path)
fullpath = new_path
need_checkout = True
else:
need_checkout = True
if need_checkout:
repo = git.Repo(fullpath)
commit_hash = repo.head.commit.hexsha
if commit_hash != item['hash']:
print(f"CHECKOUT: {repo_name} [{item['hash']}]")
repo.git.checkout(item['hash'])
except Exception:
print(f"Failed to restore snapshots for the custom node '{path}'")
# clone missing
for k, v in git_custom_node_infos.items():
if not v['disabled']:
repo_name = k.split('/')[-1]
if repo_name.endswith('.git'):
repo_name = repo_name[:-4]
path = os.path.join(working_directory, repo_name)
if not os.path.exists(path):
print(f"CLONE: {path}")
gitclone(working_directory, k, v['hash'])
def invalidate_custom_node_file(file_custom_node_infos):
global nodelist_path
enabled_set = set()
for item in file_custom_node_infos:
if not item['disabled']:
enabled_set.add(item['filename'])
for path in os.listdir(working_directory):
fullpath = os.path.join(working_directory, path)
if not os.path.isdir(fullpath) and fullpath.endswith('.py'):
if path not in enabled_set:
print(f"DISABLE: {path}")
new_path = fullpath+'.disabled'
os.rename(fullpath, new_path)
elif not os.path.isdir(fullpath) and fullpath.endswith('.py.disabled'):
path = path[:-9]
if path in enabled_set:
print(f"ENABLE: {path}")
new_path = fullpath[:-9]
os.rename(fullpath, new_path)
# download missing: just support for 'copy' style
py_to_url = {}
with open(nodelist_path, 'r', encoding="UTF-8") as json_file:
info = json.load(json_file)
for item in info['custom_nodes']:
if item['install_type'] == 'copy':
for url in item['files']:
if url.endswith('.py'):
py = url.split('/')[-1]
py_to_url[py] = url
for item in file_custom_node_infos:
filename = item['filename']
if not item['disabled']:
target_path = os.path.join(working_directory, filename)
if not os.path.exists(target_path) and filename in py_to_url:
url = py_to_url[filename]
print(f"DOWNLOAD: {filename}")
download_url(url, working_directory)
def apply_snapshot(target):
try:
path = os.path.join(os.path.dirname(__file__), 'snapshots', f"{target}")
if os.path.exists(path):
with open(path, 'r', encoding="UTF-8") as json_file:
info = json.load(json_file)
comfyui_hash = info['comfyui']
git_custom_node_infos = info['git_custom_nodes']
file_custom_node_infos = info['file_custom_nodes']
checkout_comfyui_hash(comfyui_hash)
checkout_custom_node_hash(git_custom_node_infos)
invalidate_custom_node_file(file_custom_node_infos)
print("APPLY SNAPSHOT: True")
return
print(f"Snapshot file not found: `{path}`")
print("APPLY SNAPSHOT: False")
except Exception as e:
print(e)
print("APPLY SNAPSHOT: False")
def setup_environment():
config = configparser.ConfigParser()
config.read(config_path)
if 'default' in config and 'git_exe' in config['default'] and config['default']['git_exe'] != '':
git.Git().update_environment(GIT_PYTHON_GIT_EXECUTABLE=config['default']['git_exe'])
setup_environment()
try:
if sys.argv[1] == "--clone":
gitclone(sys.argv[2], sys.argv[3])
elif sys.argv[1] == "--check":
gitcheck(sys.argv[2], False)
elif sys.argv[1] == "--fetch":
gitcheck(sys.argv[2], True)
elif sys.argv[1] == "--pull":
gitpull(sys.argv[2])
elif sys.argv[1] == "--apply-snapshot":
apply_snapshot(sys.argv[2])
sys.exit(0)
except Exception as e:
print(e)
sys.exit(-1)
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/glob/__pycache__/cm_global.cpython-310.pyc
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/glob/cm_global.py
-112
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@@ -1,112 +0,0 @@
import traceback
#
# Global Var
#
# Usage:
# import cm_global
# cm_global.variables['comfyui.revision'] = 1832
# print(f"log mode: {cm_global.variables['logger.enabled']}")
#
variables = {}
#
# Global API
#
# Usage:
# [register API]
# import cm_global
#
# def api_hello(msg):
# print(f"hello: {msg}")
# return msg
#
# cm_global.register_api('hello', api_hello)
#
# [use API]
# import cm_global
#
# test = cm_global.try_call(api='hello', msg='an example')
# print(f"'{test}' is returned")
#
APIs = {}
def register_api(k, f):
global APIs
APIs[k] = f
def try_call(**kwargs):
if 'api' in kwargs:
api_name = kwargs['api']
try:
api = APIs.get(api_name)
if api is not None:
del kwargs['api']
return api(**kwargs)
else:
print(f"WARN: The '{kwargs['api']}' API has not been registered.")
except Exception as e:
print(f"ERROR: An exception occurred while calling the '{api_name}' API.")
raise e
else:
return None
#
# Extension Info
#
# Usage:
# import cm_global
#
# cm_global.extension_infos['my_extension'] = {'version': [0, 1], 'name': 'me', 'description': 'example extension', }
#
extension_infos = {}
on_extension_registered_handlers = {}
def register_extension(extension_name, v):
global extension_infos
global on_extension_registered_handlers
extension_infos[extension_name] = v
if extension_name in on_extension_registered_handlers:
for k, f in on_extension_registered_handlers[extension_name]:
try:
f(extension_name, v)
except Exception:
print(f"[ERROR] '{k}' on_extension_registered_handlers")
traceback.print_exc()
del on_extension_registered_handlers[extension_name]
def add_on_extension_registered(k, extension_name, f):
global on_extension_registered_handlers
if extension_name in extension_infos:
try:
v = extension_infos[extension_name]
f(extension_name, v)
except Exception:
print(f"[ERROR] '{k}' on_extension_registered_handler")
traceback.print_exc()
else:
if extension_name not in on_extension_registered_handlers:
on_extension_registered_handlers[extension_name] = []
on_extension_registered_handlers[extension_name].append((k, f))
def add_on_revision_detected(k, f):
if 'comfyui.revision' in variables:
try:
f(variables['comfyui.revision'])
except Exception:
print(f"[ERROR] '{k}' on_revision_detected_handler")
traceback.print_exc()
else:
variables['cm.on_revision_detected_handler'].append((k, f))
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/a1111-alter-downloader.js
-566
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@@ -1,566 +0,0 @@
import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js"
import { ComfyDialog, $el } from "../../scripts/ui.js";
import { install_checked_custom_node, manager_instance, rebootAPI } from "./common.js";
async function getAlterList() {
var mode = manager_instance.datasrc_combo.value;
var skip_update = "";
if(manager_instance.update_check_checkbox.checked)
skip_update = "&skip_update=true";
const response = await api.fetchApi(`/alternatives/getlist?mode=${mode}${skip_update}`);
const data = await response.json();
return data;
}
export class AlternativesInstaller extends ComfyDialog {
static instance = null;
install_buttons = [];
message_box = null;
data = null;
clear() {
this.install_buttons = [];
this.message_box = null;
this.data = null;
}
constructor(app, manager_dialog) {
super();
this.manager_dialog = manager_dialog;
this.search_keyword = '';
this.element = $el("div.comfy-modal", { parent: document.body }, []);
}
startInstall(target) {
const self = AlternativesInstaller.instance;
self.updateMessage(`<BR><font color="green">Installing '${target.title}'</font>`);
}
disableButtons() {
for(let i in this.install_buttons) {
this.install_buttons[i].disabled = true;
this.install_buttons[i].style.backgroundColor = 'gray';
}
}
apply_searchbox(data) {
let keyword = this.search_box.value.toLowerCase();
for(let i in this.grid_rows) {
let data1 = this.grid_rows[i].data;
let data2 = data1.custom_node;
if(!data2)
continue;
let content = data1.tags.toLowerCase() + data1.description.toLowerCase() + data2.author.toLowerCase() + data2.description.toLowerCase() + data2.title.toLowerCase();
if(this.filter && this.filter != '*') {
if(this.filter != data2.installed) {
this.grid_rows[i].control.style.display = 'none';
continue;
}
}
if(keyword == "")
this.grid_rows[i].control.style.display = null;
else if(content.includes(keyword)) {
this.grid_rows[i].control.style.display = null;
}
else {
this.grid_rows[i].control.style.display = 'none';
}
}
}
async invalidateControl() {
this.clear();
// splash
while (this.element.children.length) {
this.element.removeChild(this.element.children[0]);
}
const msg = $el('div', {id:'custom-message'},
[$el('br'),
'The custom node DB is currently being updated, and updates to custom nodes are being checked for.',
$el('br'),
'NOTE: Update only checks for extensions that have been fetched.',
$el('br')]);
msg.style.height = '100px';
msg.style.verticalAlign = 'middle';
this.element.appendChild(msg);
// invalidate
this.data = (await getAlterList()).items;
this.element.removeChild(msg);
while (this.element.children.length) {
this.element.removeChild(this.element.children[0]);
}
this.createHeaderControls();
await this.createGrid();
this.apply_searchbox(this.data);
this.createBottomControls();
}
updateMessage(msg, btn_id) {
this.message_box.innerHTML = msg;
if(btn_id) {
const rebootButton = document.getElementById(btn_id);
const self = this;
rebootButton.addEventListener("click",
function() {
if(rebootAPI()) {
self.close();
self.manager_dialog.close();
}
});
}
}
invalidate_checks(is_checked, install_state) {
if(is_checked) {
for(let i in this.grid_rows) {
let data = this.grid_rows[i].data;
let checkbox = this.grid_rows[i].checkbox;
let buttons = this.grid_rows[i].buttons;
checkbox.disabled = data.custom_node.installed != install_state;
if(checkbox.disabled) {
for(let j in buttons) {
buttons[j].style.display = 'none';
}
}
else {
for(let j in buttons) {
buttons[j].style.display = null;
}
}
}
this.checkbox_all.disabled = false;
}
else {
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
if(checkbox.check)
return; // do nothing
}
// every checkbox is unchecked -> enable all checkbox
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
let buttons = this.grid_rows[i].buttons;
checkbox.disabled = false;
for(let j in buttons) {
buttons[j].style.display = null;
}
}
this.checkbox_all.checked = false;
this.checkbox_all.disabled = true;
}
}
check_all(is_checked) {
if(is_checked) {
// lookup first checked item's state
let check_state = null;
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
if(checkbox.checked) {
check_state = this.grid_rows[i].data.custom_node.installed;
}
}
if(check_state == null)
return;
// check only same state items
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
if(this.grid_rows[i].data.custom_node.installed == check_state)
checkbox.checked = true;
}
}
else {
// uncheck all
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
let buttons = this.grid_rows[i].buttons;
checkbox.checked = false;
checkbox.disabled = false;
for(let j in buttons) {
buttons[j].style.display = null;
}
}
this.checkbox_all.disabled = true;
}
}
async createGrid() {
var grid = document.createElement('table');
grid.setAttribute('id', 'alternatives-grid');
this.grid_rows = {};
let self = this;
var thead = document.createElement('thead');
var tbody = document.createElement('tbody');
var headerRow = document.createElement('tr');
thead.style.position = "sticky";
thead.style.top = "0px";
thead.style.borderCollapse = "collapse";
thead.style.tableLayout = "fixed";
var header0 = document.createElement('th');
header0.style.width = "20px";
this.checkbox_all = $el("input",{type:'checkbox', id:'check_all'},[]);
header0.appendChild(this.checkbox_all);
this.checkbox_all.checked = false;
this.checkbox_all.disabled = true;
this.checkbox_all.addEventListener('change', function() { self.check_all.call(self, self.checkbox_all.checked); });
var header1 = document.createElement('th');
header1.innerHTML = '&nbsp;&nbsp;ID&nbsp;&nbsp;';
header1.style.width = "20px";
var header2 = document.createElement('th');
header2.innerHTML = 'Tags';
header2.style.width = "10%";
var header3 = document.createElement('th');
header3.innerHTML = 'Author';
header3.style.width = "150px";
var header4 = document.createElement('th');
header4.innerHTML = 'Title';
header4.style.width = "20%";
var header5 = document.createElement('th');
header5.innerHTML = 'Description';
header5.style.width = "50%";
var header6 = document.createElement('th');
header6.innerHTML = 'Install';
header6.style.width = "130px";
header1.style.position = "sticky";
header1.style.top = "0px";
header2.style.position = "sticky";
header2.style.top = "0px";
header3.style.position = "sticky";
header3.style.top = "0px";
header4.style.position = "sticky";
header4.style.top = "0px";
header5.style.position = "sticky";
header5.style.top = "0px";
thead.appendChild(headerRow);
headerRow.appendChild(header0);
headerRow.appendChild(header1);
headerRow.appendChild(header2);
headerRow.appendChild(header3);
headerRow.appendChild(header4);
headerRow.appendChild(header5);
headerRow.appendChild(header6);
headerRow.style.backgroundColor = "Black";
headerRow.style.color = "White";
headerRow.style.textAlign = "center";
headerRow.style.width = "100%";
headerRow.style.padding = "0";
grid.appendChild(thead);
grid.appendChild(tbody);
if(this.data)
for (var i = 0; i < this.data.length; i++) {
const data = this.data[i];
var dataRow = document.createElement('tr');
let data0 = document.createElement('td');
let checkbox = $el("input",{type:'checkbox', id:`check_${i}`},[]);
data0.appendChild(checkbox);
checkbox.checked = false;
checkbox.addEventListener('change', function() { self.invalidate_checks.call(self, checkbox.checked, data.custom_node?.installed); });
var data1 = document.createElement('td');
data1.style.textAlign = "center";
data1.innerHTML = i+1;
var data2 = document.createElement('td');
data2.innerHTML = `&nbsp;${data.tags}`;
var data3 = document.createElement('td');
var data4 = document.createElement('td');
if(data.custom_node) {
data3.innerHTML = `&nbsp;${data.custom_node.author}`;
data4.innerHTML = `&nbsp;<a href=${data.custom_node.reference} target="_blank"><font color="skyblue"><b>${data.custom_node.title}</b></font></a>`;
}
else {
data3.innerHTML = `&nbsp;Unknown`;
data4.innerHTML = `&nbsp;Unknown`;
}
var data5 = document.createElement('td');
data5.innerHTML = data.description;
var data6 = document.createElement('td');
data6.style.textAlign = "center";
var installBtn = document.createElement('button');
var installBtn2 = null;
var installBtn3 = null;
if(data.custom_node) {
this.install_buttons.push(installBtn);
switch(data.custom_node.installed) {
case 'Disabled':
installBtn3 = document.createElement('button');
installBtn3.innerHTML = 'Enable';
installBtn3.style.backgroundColor = 'blue';
installBtn3.style.color = 'white';
this.install_buttons.push(installBtn3);
installBtn.innerHTML = 'Uninstall';
installBtn.style.backgroundColor = 'red';
installBtn.style.color = 'white';
break;
case 'Update':
installBtn2 = document.createElement('button');
installBtn2.innerHTML = 'Update';
installBtn2.style.backgroundColor = 'blue';
installBtn2.style.color = 'white';
this.install_buttons.push(installBtn2);
installBtn3 = document.createElement('button');
installBtn3.innerHTML = 'Disable';
installBtn3.style.backgroundColor = 'MediumSlateBlue';
installBtn3.style.color = 'white';
this.install_buttons.push(installBtn3);
installBtn.innerHTML = 'Uninstall';
installBtn.style.backgroundColor = 'red';
installBtn.style.color = 'white';
break;
case 'True':
installBtn3 = document.createElement('button');
installBtn3.innerHTML = 'Disable';
installBtn3.style.backgroundColor = 'MediumSlateBlue';
installBtn3.style.color = 'white';
this.install_buttons.push(installBtn3);
installBtn.innerHTML = 'Uninstall';
installBtn.style.backgroundColor = 'red';
installBtn.style.color = 'white';
break;
case 'False':
installBtn.innerHTML = 'Install';
installBtn.style.backgroundColor = 'black';
installBtn.style.color = 'white';
break;
default:
installBtn.innerHTML = 'Try Install';
installBtn.style.backgroundColor = 'Gray';
installBtn.style.color = 'white';
}
let j = i;
if(installBtn2 != null) {
installBtn2.style.width = "120px";
installBtn2.addEventListener('click', function() {
install_checked_custom_node(self.grid_rows, j, AlternativesInstaller.instance, 'update');
});
data6.appendChild(installBtn2);
}
if(installBtn3 != null) {
installBtn3.style.width = "120px";
installBtn3.addEventListener('click', function() {
install_checked_custom_node(self.grid_rows, j, AlternativesInstaller.instance, 'toggle_active');
});
data6.appendChild(installBtn3);
}
installBtn.style.width = "120px";
installBtn.addEventListener('click', function() {
if(this.innerHTML == 'Uninstall') {
if (confirm(`Are you sure uninstall ${data.title}?`)) {
install_checked_custom_node(self.grid_rows, j, AlternativesInstaller.instance, 'uninstall');
}
}
else {
install_checked_custom_node(self.grid_rows, j, AlternativesInstaller.instance, 'install');
}
});
data6.appendChild(installBtn);
}
dataRow.style.backgroundColor = "var(--bg-color)";
dataRow.style.color = "var(--fg-color)";
dataRow.style.textAlign = "left";
dataRow.appendChild(data0);
dataRow.appendChild(data1);
dataRow.appendChild(data2);
dataRow.appendChild(data3);
dataRow.appendChild(data4);
dataRow.appendChild(data5);
dataRow.appendChild(data6);
tbody.appendChild(dataRow);
let buttons = [];
if(installBtn) {
buttons.push(installBtn);
}
if(installBtn2) {
buttons.push(installBtn2);
}
if(installBtn3) {
buttons.push(installBtn3);
}
this.grid_rows[i] = {data:data, buttons:buttons, checkbox:checkbox, control:dataRow};
}
const panel = document.createElement('div');
panel.style.width = "100%";
panel.appendChild(grid);
function handleResize() {
const parentHeight = self.element.clientHeight;
const gridHeight = parentHeight - 200;
grid.style.height = gridHeight + "px";
}
window.addEventListener("resize", handleResize);
grid.style.position = "relative";
grid.style.display = "inline-block";
grid.style.width = "100%";
grid.style.height = "100%";
grid.style.overflowY = "scroll";
this.element.style.height = "85%";
this.element.style.width = "80%";
this.element.appendChild(panel);
handleResize();
}
createFilterCombo() {
let combo = document.createElement("select");
combo.style.cssFloat = "left";
combo.style.fontSize = "14px";
combo.style.padding = "4px";
combo.style.background = "black";
combo.style.marginLeft = "2px";
combo.style.width = "199px";
combo.id = `combo-manger-filter`;
combo.style.borderRadius = "15px";
let items =
[
{ value:'*', text:'Filter: all' },
{ value:'Disabled', text:'Filter: disabled' },
{ value:'Update', text:'Filter: update' },
{ value:'True', text:'Filter: installed' },
{ value:'False', text:'Filter: not-installed' },
];
items.forEach(item => {
const option = document.createElement("option");
option.value = item.value;
option.text = item.text;
combo.appendChild(option);
});
let self = this;
combo.addEventListener('change', function(event) {
self.filter = event.target.value;
self.apply_searchbox();
});
if(self.filter) {
combo.value = self.filter;
}
return combo;
}
createHeaderControls() {
let self = this;
this.search_box = $el('input.cm-search-filter', {type:'text', id:'manager-alternode-search-box', placeholder:'input search keyword', value:this.search_keyword}, []);
this.search_box.style.height = "25px";
this.search_box.onkeydown = (event) => {
if (event.key === 'Enter') {
self.search_keyword = self.search_box.value;
self.apply_searchbox();
}
if (event.key === 'Escape') {
self.search_keyword = self.search_box.value;
self.apply_searchbox();
}
};
let search_button = document.createElement("button");
search_button.className = "cm-small-button";
search_button.innerHTML = "Search";
search_button.onclick = () => {
self.search_keyword = self.search_box.value;
self.apply_searchbox();
};
search_button.style.display = "inline-block";
let filter_control = this.createFilterCombo();
filter_control.style.display = "inline-block";
let cell = $el('td', {width:'100%'}, [filter_control, this.search_box, ' ', search_button]);
let search_control = $el('table', {width:'100%'},
[
$el('tr', {}, [cell])
]
);
cell.style.textAlign = "right";
this.element.appendChild(search_control);
}
async createBottomControls() {
var close_button = document.createElement("button");
close_button.className = "cm-small-button";
close_button.innerHTML = "Close";
close_button.onclick = () => { this.close(); }
close_button.style.display = "inline-block";
this.message_box = $el('div', {id:'alternatives-installer-message'}, [$el('br'), '']);
this.message_box.style.height = '60px';
this.message_box.style.verticalAlign = 'middle';
this.element.appendChild(this.message_box);
this.element.appendChild(close_button);
}
async show() {
try {
this.invalidateControl();
this.element.style.display = "block";
this.element.style.zIndex = 10001;
}
catch(exception) {
app.ui.dialog.show(`Failed to get alternatives list. / ${exception}`);
console.error(exception);
}
}
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/cm-api.js
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@@ -1,54 +0,0 @@
import { api } from "../../scripts/api.js";
import { app } from "../../scripts/app.js";
import { sleep } from "./common.js";
async function tryInstallCustomNode(event) {
let msg = '-= [ComfyUI Manager] extension installation request =-\n\n';
msg += `The '${event.detail.sender}' extension requires the installation of the '${event.detail.title}' extension. `;
if(event.detail.target.installed == 'Disabled') {
msg += 'However, the extension is currently disabled. Would you like to enable it and reboot?'
}
else if(event.detail.target.installed == 'True') {
msg += 'However, it seems that the extension is in an import-fail state or is not compatible with the current version. Please address this issue.';
}
else {
msg += `Would you like to install it and reboot?`;
}
msg += `\n\nRequest message:\n${event.detail.msg}`;
if(event.detail.target.installed == 'True') {
alert(msg);
return;
}
let res = confirm(msg);
if(res) {
if(event.detail.target.installed == 'Disabled') {
const response = await api.fetchApi(`/customnode/toggle_active`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(event.detail.target)
});
}
else {
await sleep(300);
app.ui.dialog.show(`Installing... '${event.detail.target.title}'`);
const response = await api.fetchApi(`/customnode/install`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(event.detail.target)
});
}
api.fetchApi("/manager/reboot");
await sleep(300);
app.ui.dialog.show(`Rebooting...`);
}
}
api.addEventListener("cm-api-try-install-customnode", tryInstallCustomNode);
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-manager.js
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-common.js
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-openart.js
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import {app} from "../../scripts/app.js";
import {api} from "../../scripts/api.js";
import {ComfyDialog, $el} from "../../scripts/ui.js";
const LOCAL_STORAGE_KEY = "openart_comfy_workflow_key";
const DEFAULT_HOMEPAGE_URL = "https://openart.ai/workflows/dev?developer=true";
//const DEFAULT_HOMEPAGE_URL = "http://localhost:8080/workflows/dev?developer=true";
const API_ENDPOINT = "https://openart.ai/api";
//const API_ENDPOINT = "http://localhost:8080/api";
const style = `
.openart-share-dialog a {
color: #f8f8f8;
}
.openart-share-dialog a:hover {
color: #007bff;
}
.output_label {
border: 5px solid transparent;
}
.output_label:hover {
border: 5px solid #59E8C6;
}
.output_label.checked {
border: 5px solid #59E8C6;
}
`;
// Shared component styles
const sectionStyle = {
marginBottom: 0,
padding: 0,
borderRadius: "8px",
boxShadow: "0 2px 4px rgba(0, 0, 0, 0.05)",
display: "flex",
flexDirection: "column",
justifyContent: "center",
};
export class OpenArtShareDialog extends ComfyDialog {
static instance = null;
constructor() {
super();
$el("style", {
textContent: style,
parent: document.head,
});
this.element = $el(
"div.comfy-modal.openart-share-dialog",
{
parent: document.body,
style: {
"overflow-y": "auto",
},
},
[$el("div.comfy-modal-content", {}, [...this.createButtons()])]
);
this.selectedOutputIndex = 0;
this.selectedNodeId = null;
this.uploadedImages = [];
this.selectedFile = null;
}
async readKey() {
let key = ""
try {
key = await api.fetchApi(`/manager/get_openart_auth`)
.then(response => response.json())
.then(data => {
return data.openart_key;
})
.catch(error => {
// console.log(error);
});
} catch (error) {
// console.log(error);
}
return key || "";
}
async saveKey(value) {
await api.fetchApi(`/manager/set_openart_auth`, {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
openart_key: value
})
});
}
createButtons() {
const inputStyle = {
display: "block",
minWidth: "500px",
width: "100%",
padding: "10px",
margin: "10px 0",
borderRadius: "4px",
border: "1px solid #ddd",
boxSizing: "border-box",
};
const hyperLinkStyle = {
display: "block",
marginBottom: "15px",
fontWeight: "bold",
fontSize: "14px",
};
const labelStyle = {
color: "#f8f8f8",
display: "block",
margin: "10px 0 0 0",
fontWeight: "bold",
textDecoration: "none",
};
const buttonStyle = {
padding: "10px 80px",
margin: "10px 5px",
borderRadius: "4px",
border: "none",
cursor: "pointer",
color: "#fff",
backgroundColor: "#007bff",
};
// upload images input
this.uploadImagesInput = $el("input", {
type: "file",
multiple: false,
style: inputStyle,
accept: "image/*",
});
this.uploadImagesInput.addEventListener("change", async (e) => {
const file = e.target.files[0];
if (!file) {
this.previewImage.src = "";
this.previewImage.style.display = "none";
return;
}
const reader = new FileReader();
reader.onload = async (e) => {
const imgData = e.target.result;
this.previewImage.src = imgData;
this.previewImage.style.display = "block";
this.selectedFile = null
// Once user uploads an image, we uncheck all radio buttons
this.radioButtons.forEach((ele) => {
ele.checked = false;
ele.parentElement.classList.remove("checked");
});
// Add the opacity style toggle here to indicate that they only need
// to upload one image or choose one from the outputs.
this.outputsSection.style.opacity = 0.35;
this.uploadImagesInput.style.opacity = 1;
};
reader.readAsDataURL(file);
});
// preview image
this.previewImage = $el("img", {
src: "",
style: {
width: "100%",
maxHeight: "100px",
objectFit: "contain",
display: "none",
marginTop: '10px',
},
});
this.keyInput = $el("input", {
type: "password",
placeholder: "Copy & paste your API key",
style: inputStyle,
});
this.NameInput = $el("input", {
type: "text",
placeholder: "Title (required)",
style: inputStyle,
});
this.descriptionInput = $el("textarea", {
placeholder: "Description (optional)",
style: {
...inputStyle,
minHeight: "100px",
},
});
// Header Section
const headerSection = $el("h3", {
textContent: "Share your workflow to OpenArt",
size: 3,
color: "white",
style: {
'text-align': 'center',
color: 'white',
margin: '0 0 10px 0',
}
});
// LinkSection
this.communityLink = $el("a", {
style: hyperLinkStyle,
href: DEFAULT_HOMEPAGE_URL,
target: "_blank"
}, ["👉 Check out thousands of workflows shared from the community"])
this.getAPIKeyLink = $el("a", {
style: {
...hyperLinkStyle,
color: "#59E8C6"
},
href: DEFAULT_HOMEPAGE_URL,
target: "_blank"
}, ["👉 Get your API key here"])
const linkSection = $el(
"div",
{
style: {
marginTop: "10px",
display: "flex",
flexDirection: "column",
},
},
[
this.communityLink,
this.getAPIKeyLink,
]
);
// Account Section
const accountSection = $el("div", {style: sectionStyle}, [
$el("label", {style: labelStyle}, ["1️⃣ OpenArt API Key"]),
this.keyInput,
]);
// Output Upload Section
const outputUploadSection = $el("div", {style: sectionStyle}, [
$el("label", {
style: {
...labelStyle,
margin: "10px 0 0 0"
}
}, ["2️⃣ Image/Thumbnail (Required)"]),
this.previewImage,
this.uploadImagesInput,
]);
// Outputs Section
this.outputsSection = $el("div", {
id: "selectOutputs",
}, []);
// Additional Inputs Section
const additionalInputsSection = $el("div", {style: sectionStyle}, [
$el("label", {style: labelStyle}, ["3️⃣ Workflow Information"]),
this.NameInput,
this.descriptionInput,
]);
// OpenArt Contest Section
/*
this.joinContestCheckbox = $el("input", {
type: 'checkbox',
id: "join_contest"s
}, [])
this.joinContestDescription = $el("a", {
style: {
...hyperLinkStyle,
display: 'inline-block',
color: "#59E8C6",
fontSize: '12px',
marginLeft: '10px',
marginBottom: 0,
},
href: "https://contest.openart.ai/",
target: "_blank"
}, ["🏆 I'm participating in the OpenArt workflow contest"])
this.joinContestLabel = $el("label", {
style: {
display: 'flex',
alignItems: 'center',
cursor: 'pointer',
}
}, [this.joinContestCheckbox, this.joinContestDescription])
const contestSection = $el("div", {style: sectionStyle}, [
this.joinContestLabel,
]);
*/
// Message Section
this.message = $el(
"div",
{
style: {
color: "#ff3d00",
textAlign: "center",
padding: "10px",
fontSize: "20px",
},
},
[]
);
this.shareButton = $el("button", {
type: "submit",
textContent: "Share",
style: buttonStyle,
onclick: () => {
this.handleShareButtonClick();
},
});
// Share and Close Buttons
const buttonsSection = $el(
"div",
{
style: {
textAlign: "right",
marginTop: "20px",
display: "flex",
justifyContent: "space-between",
},
},
[
$el("button", {
type: "button",
textContent: "Close",
style: {
...buttonStyle,
backgroundColor: undefined,
},
onclick: () => {
this.close();
},
}),
this.shareButton,
]
);
// Composing the full layout
const layout = [
headerSection,
linkSection,
accountSection,
outputUploadSection,
this.outputsSection,
additionalInputsSection,
// contestSection,
this.message,
buttonsSection,
];
return layout;
}
async fetchApi(path, options, statusText) {
if (statusText) {
this.message.textContent = statusText;
}
const addSearchParams = (url, params = {}) =>
new URL(
`${url.origin}${url.pathname}?${new URLSearchParams([
...Array.from(url.searchParams.entries()),
...Object.entries(params),
])}`
);
const fullPath = addSearchParams(new URL(API_ENDPOINT + path), {
workflow_api_key: this.keyInput.value,
});
const response = await fetch(fullPath, options);
if (!response.ok) {
throw new Error(response.statusText);
}
if (statusText) {
this.message.textContent = "";
}
const data = await response.json();
return {
ok: response.ok,
statusText: response.statusText,
status: response.status,
data,
};
}
async uploadThumbnail(uploadFile) {
const form = new FormData();
form.append("file", uploadFile);
try {
const res = await this.fetchApi(
`/workflows/upload_thumbnail`,
{
method: "POST",
body: form,
},
"Uploading thumbnail..."
);
if (res.ok && res.data) {
const {image_url, width, height} = res.data;
this.uploadedImages.push({
url: image_url,
width,
height,
});
}
} catch (e) {
if (e?.response?.status === 413) {
throw new Error("File size is too large (max 20MB)");
} else {
throw new Error("Error uploading thumbnail: " + e.message);
}
}
}
async handleShareButtonClick() {
this.message.textContent = "";
await this.saveKey(this.keyInput.value);
try {
this.shareButton.disabled = true;
this.shareButton.textContent = "Sharing...";
await this.share();
} catch (e) {
alert(e.message);
}
this.shareButton.disabled = false;
this.shareButton.textContent = "Share";
}
async share() {
const prompt = await app.graphToPrompt();
const workflowJSON = prompt["workflow"];
const workflowAPIJSON = prompt["output"];
const form_values = {
name: this.NameInput.value,
description: this.descriptionInput.value,
};
if (!this.keyInput.value) {
throw new Error("API key is required");
}
if (!this.uploadImagesInput.files[0] && !this.selectedFile) {
throw new Error("Thumbnail is required");
}
if (!form_values.name) {
throw new Error("Title is required");
}
const current_snapshot = await api.fetchApi(`/snapshot/get_current`)
.then(response => response.json())
.catch(error => {
// console.log(error);
});
if (!this.uploadedImages.length) {
if (this.selectedFile) {
await this.uploadThumbnail(this.selectedFile);
} else {
for (const file of this.uploadImagesInput.files) {
try {
await this.uploadThumbnail(file);
} catch (e) {
this.uploadedImages = [];
throw new Error(e.message);
}
}
if (this.uploadImagesInput.files.length === 0) {
throw new Error("No thumbnail uploaded");
}
if (this.uploadImagesInput.files.length === 0) {
throw new Error("No thumbnail uploaded");
}
}
}
// const join_contest = this.joinContestCheckbox.checked;
try {
const response = await this.fetchApi(
"/workflows/publish",
{
method: "POST",
headers: {"Content-Type": "application/json"},
body: JSON.stringify({
workflow_json: workflowJSON,
upload_images: this.uploadedImages,
form_values,
advanced_config: {
workflow_api_json: workflowAPIJSON,
snapshot: current_snapshot,
},
// join_contest,
}),
},
"Uploading workflow..."
);
if (response.ok) {
const {workflow_id} = response.data;
if (workflow_id) {
const url = `https://openart.ai/workflows/-/-/${workflow_id}`;
this.message.innerHTML = `Workflow has been shared successfully. <a href="${url}" target="_blank">Click here to view it.</a>`;
this.previewImage.src = "";
this.previewImage.style.display = "none";
this.uploadedImages = [];
this.NameInput.value = "";
this.descriptionInput.value = "";
this.radioButtons.forEach((ele) => {
ele.checked = false;
ele.parentElement.classList.remove("checked");
});
this.selectedOutputIndex = 0;
this.selectedNodeId = null;
this.selectedFile = null;
}
}
} catch (e) {
throw new Error("Error sharing workflow: " + e.message);
}
}
async fetchImageBlob(url) {
const response = await fetch(url);
const blob = await response.blob();
return blob;
}
async show({potential_outputs, potential_output_nodes} = {}) {
// Sort `potential_output_nodes` by node ID to make the order always
// consistent, but we should also keep `potential_outputs` in the same
// order as `potential_output_nodes`.
const potential_output_to_order = {};
potential_output_nodes.forEach((node, index) => {
if (node.id in potential_output_to_order) {
potential_output_to_order[node.id][1].push(potential_outputs[index]);
} else {
potential_output_to_order[node.id] = [node, [potential_outputs[index]]];
}
})
// Sort the object `potential_output_to_order` by key (node ID)
const sorted_potential_output_to_order = Object.fromEntries(
Object.entries(potential_output_to_order).sort((a, b) => a[0].id - b[0].id)
);
const sorted_potential_outputs = []
const sorted_potential_output_nodes = []
for (const [key, value] of Object.entries(sorted_potential_output_to_order)) {
sorted_potential_output_nodes.push(value[0]);
sorted_potential_outputs.push(...value[1]);
}
potential_output_nodes = sorted_potential_output_nodes;
potential_outputs = sorted_potential_outputs;
this.message.innerHTML = "";
this.message.textContent = "";
this.element.style.display = "block";
this.previewImage.src = "";
this.previewImage.style.display = "none";
const key = await this.readKey();
this.keyInput.value = key;
this.uploadedImages = [];
// If `selectedNodeId` is provided, we will select the corresponding radio
// button for the node. In addition, we move the selected radio button to
// the top of the list.
if (this.selectedNodeId) {
const index = potential_output_nodes.findIndex(node => node.id === this.selectedNodeId);
if (index >= 0) {
this.selectedOutputIndex = index;
}
}
this.radioButtons = [];
const new_radio_buttons = $el("div",
{
id: "selectOutput-Options",
style: {
'overflow-y': 'scroll',
'max-height': '200px',
'display': 'grid',
'grid-template-columns': 'repeat(auto-fit, minmax(100px, 1fr))',
'grid-template-rows': 'auto',
'grid-column-gap': '10px',
'grid-row-gap': '10px',
'margin-bottom': '10px',
'padding': '10px',
'border-radius': '8px',
'box-shadow': '0 2px 4px rgba(0, 0, 0, 0.05)',
'background-color': 'var(--bg-color)',
}
},
potential_outputs.map((output, index) => {
const {node_id} = output;
const radio_button = $el("input", {
type: 'radio',
name: "selectOutputImages",
value: index,
required: index === 0
}, [])
let radio_button_img;
let filename;
if (output.type === "image" || output.type === "temp") {
radio_button_img = $el("img", {
src: `/view?filename=${output.image.filename}&subfolder=${output.image.subfolder}&type=${output.image.type}`,
style: {
width: "100px",
height: "100px",
objectFit: "cover",
borderRadius: "5px"
}
}, []);
filename = output.image.filename
} else if (output.type === "output") {
radio_button_img = $el("img", {
src: output.output.value,
style: {
width: "auto",
height: "100px",
objectFit: "cover",
borderRadius: "5px"
}
}, []);
filename = output.filename
} else {
// unsupported output type
// this should never happen
// TODO
radio_button_img = $el("img", {
src: "",
style: {width: "auto", height: "100px"}
}, []);
}
const radio_button_text = $el("span", {
style: {
color: 'gray',
display: 'block',
fontSize: '12px',
overflowX: 'hidden',
textOverflow: 'ellipsis',
textWrap: 'nowrap',
maxWidth: '100px',
}
}, [output.title])
const node_id_chip = $el("span", {
style: {
color: '#FBFBFD',
display: 'block',
backgroundColor: 'rgba(0, 0, 0, 0.5)',
fontSize: '12px',
overflowX: 'hidden',
padding: '2px 3px',
textOverflow: 'ellipsis',
textWrap: 'nowrap',
maxWidth: '100px',
position: 'absolute',
top: '3px',
left: '3px',
borderRadius: '3px',
}
}, [`Node: ${node_id}`])
radio_button.style.color = "var(--fg-color)";
radio_button.checked = this.selectedOutputIndex === index;
radio_button.onchange = async () => {
this.selectedOutputIndex = parseInt(radio_button.value);
// Remove the "checked" class from all radio buttons
this.radioButtons.forEach((ele) => {
ele.parentElement.classList.remove("checked");
});
radio_button.parentElement.classList.add("checked");
this.fetchImageBlob(radio_button_img.src).then((blob) => {
const file = new File([blob], filename, {
type: blob.type,
});
this.previewImage.src = radio_button_img.src;
this.previewImage.style.display = "block";
this.selectedFile = file;
})
// Add the opacity style toggle here to indicate that they only need
// to upload one image or choose one from the outputs.
this.outputsSection.style.opacity = 1;
this.uploadImagesInput.style.opacity = 0.35;
};
if (radio_button.checked) {
this.fetchImageBlob(radio_button_img.src).then((blob) => {
const file = new File([blob], filename, {
type: blob.type,
});
this.previewImage.src = radio_button_img.src;
this.previewImage.style.display = "block";
this.selectedFile = file;
})
// Add the opacity style toggle here to indicate that they only need
// to upload one image or choose one from the outputs.
this.outputsSection.style.opacity = 1;
this.uploadImagesInput.style.opacity = 0.35;
}
this.radioButtons.push(radio_button);
return $el(`label.output_label${radio_button.checked ? '.checked' : ''}`, {
style: {
display: "flex",
flexDirection: "column",
alignItems: "center",
justifyContent: "center",
marginBottom: "10px",
cursor: "pointer",
position: 'relative',
}
}, [radio_button_img, radio_button_text, radio_button, node_id_chip]);
})
);
const header =
$el("p", {
textContent: this.radioButtons.length === 0 ? "Queue Prompt to see the outputs" : "Or choose one from the outputs (scroll to see all)",
size: 2,
color: "white",
style: {
color: 'white',
margin: '0 0 5px 0',
fontSize: '12px',
},
}, [])
this.outputsSection.innerHTML = "";
this.outputsSection.appendChild(header);
this.outputsSection.appendChild(new_radio_buttons);
}
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/comfyui-share-youml.js
-568
View File
@@ -1,568 +0,0 @@
import {app} from "../../scripts/app.js";
import {api} from "../../scripts/api.js";
import {ComfyDialog, $el} from "../../scripts/ui.js";
const BASE_URL = "https://youml.com";
//const BASE_URL = "http://localhost:3000";
const DEFAULT_HOMEPAGE_URL = `${BASE_URL}/?from=comfyui`;
const TOKEN_PAGE_URL = `${BASE_URL}/my-token`;
const API_ENDPOINT = `${BASE_URL}/api`;
const style = `
.youml-share-dialog {
overflow-y: auto;
}
.youml-share-dialog .dialog-header {
text-align: center;
color: white;
margin: 0 0 10px 0;
}
.youml-share-dialog .dialog-section {
margin-bottom: 0;
padding: 0;
border-radius: 8px;
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
display: flex;
flex-direction: column;
justify-content: center;
}
.youml-share-dialog input, .youml-share-dialog textarea {
display: block;
min-width: 500px;
width: 100%;
padding: 10px;
margin: 10px 0;
border-radius: 4px;
border: 1px solid #ddd;
box-sizing: border-box;
}
.youml-share-dialog textarea {
color: var(--input-text);
background-color: var(--comfy-input-bg);
}
.youml-share-dialog .workflow-description {
min-height: 75px;
}
.youml-share-dialog label {
color: #f8f8f8;
display: block;
margin: 5px 0 0 0;
font-weight: bold;
text-decoration: none;
}
.youml-share-dialog .action-button {
padding: 10px 80px;
margin: 10px 5px;
border-radius: 4px;
border: none;
cursor: pointer;
}
.youml-share-dialog .share-button {
color: #fff;
background-color: #007bff;
}
.youml-share-dialog .close-button {
background-color: none;
}
.youml-share-dialog .action-button-panel {
text-align: right;
display: flex;
justify-content: space-between;
}
.youml-share-dialog .status-message {
color: #fd7909;
text-align: center;
padding: 5px;
font-size: 18px;
}
.youml-share-dialog .status-message a {
color: white;
}
.youml-share-dialog .output-panel {
overflow: auto;
max-height: 180px;
display: grid;
grid-template-columns: repeat(auto-fit, minmax(100px, 1fr));
grid-template-rows: auto;
grid-column-gap: 10px;
grid-row-gap: 10px;
margin-bottom: 10px;
padding: 10px;
border-radius: 8px;
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
background-color: var(--bg-color);
}
.youml-share-dialog .output-panel .output-image {
width: 100px;
height: 100px;
objectFit: cover;
borderRadius: 5px;
}
.youml-share-dialog .output-panel .radio-button {
color:var(--fg-color);
}
.youml-share-dialog .output-panel .radio-text {
color: gray;
display: block;
font-size: 12px;
overflow-x: hidden;
text-overflow: ellipsis;
text-wrap: nowrap;
max-width: 100px;
}
.youml-share-dialog .output-panel .node-id {
color: #FBFBFD;
display: block;
background-color: rgba(0, 0, 0, 0.5);
font-size: 12px;
overflow-x: hidden;
padding: 2px 3px;
text-overflow: ellipsis;
text-wrap: nowrap;
max-width: 100px;
position: absolute;
top: 3px;
left: 3px;
border-radius: 3px;
}
.youml-share-dialog .output-panel .output-label {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
margin-bottom: 10px;
cursor: pointer;
position: relative;
border: 5px solid transparent;
}
.youml-share-dialog .output-panel .output-label:hover {
border: 5px solid #007bff;
}
.youml-share-dialog .output-panel .output-label.checked {
border: 5px solid #007bff;
}
.youml-share-dialog .missing-output-message{
color: #fd7909;
font-size: 16px;
margin-bottom:10px
}
.youml-share-dialog .select-output-message{
color: white;
margin-bottom:5px
}
`;
export class YouMLShareDialog extends ComfyDialog {
static instance = null;
constructor() {
super();
$el("style", {
textContent: style,
parent: document.head,
});
this.element = $el(
"div.comfy-modal.youml-share-dialog",
{
parent: document.body,
},
[$el("div.comfy-modal-content", {}, [...this.createLayout()])]
);
this.selectedOutputIndex = 0;
this.selectedNodeId = null;
this.uploadedImages = [];
this.selectedFile = null;
}
async loadToken() {
let key = ""
try {
const response = await api.fetchApi(`/manager/youml/settings`)
const settings = await response.json()
return settings.token
} catch (error) {
}
return key || "";
}
async saveToken(value) {
await api.fetchApi(`/manager/youml/settings`, {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
token: value
})
});
}
createLayout() {
// Header Section
const headerSection = $el("h3.dialog-header", {
textContent: "Share your workflow to YouML.com",
size: 3,
});
// Workflow Info Section
this.nameInput = $el("input", {
type: "text",
placeholder: "Name (required)",
});
this.descriptionInput = $el("textarea.workflow-description", {
placeholder: "Description (optional, markdown supported)",
});
const workflowMetadata = $el("div.dialog-section", {}, [
$el("label", {}, ["Workflow info"]),
this.nameInput,
this.descriptionInput,
]);
// Outputs Section
this.outputsSection = $el("div.dialog-section", {
id: "selectOutputs",
}, []);
const outputUploadSection = $el("div.dialog-section", {}, [
$el("label", {}, ["Thumbnail"]),
this.outputsSection,
]);
// API Token Section
this.apiTokenInput = $el("input", {
type: "password",
placeholder: "Copy & paste your API token",
});
const getAPITokenButton = $el("button", {
href: DEFAULT_HOMEPAGE_URL,
target: "_blank",
onclick: () => window.open(TOKEN_PAGE_URL, "_blank"),
}, ["Get your API Token"])
const apiTokenSection = $el("div.dialog-section", {}, [
$el("label", {}, ["YouML API Token"]),
this.apiTokenInput,
getAPITokenButton,
]);
// Message Section
this.message = $el("div.status-message", {}, []);
// Share and Close Buttons
this.shareButton = $el("button.action-button.share-button", {
type: "submit",
textContent: "Share",
onclick: () => {
this.handleShareButtonClick();
},
});
const buttonsSection = $el(
"div.action-button-panel",
{},
[
$el("button.action-button.close-button", {
type: "button",
textContent: "Close",
onclick: () => {
this.close();
},
}),
this.shareButton,
]
);
// Composing the full layout
const layout = [
headerSection,
workflowMetadata,
outputUploadSection,
apiTokenSection,
this.message,
buttonsSection,
];
return layout;
}
async fetchYoumlApi(path, options, statusText) {
if (statusText) {
this.message.textContent = statusText;
}
const fullPath = new URL(API_ENDPOINT + path)
const fetchOptions = Object.assign({}, options)
fetchOptions.headers = {
...fetchOptions.headers,
"Authorization": `Bearer ${this.apiTokenInput.value}`,
"User-Agent": "ComfyUI-Manager-Youml/1.0.0",
}
const response = await fetch(fullPath, fetchOptions);
if (!response.ok) {
throw new Error(response.statusText + " " + (await response.text()));
}
if (statusText) {
this.message.textContent = "";
}
const data = await response.json();
return {
ok: response.ok,
statusText: response.statusText,
status: response.status,
data,
};
}
async uploadThumbnail(uploadFile, recipeId) {
const form = new FormData();
form.append("file", uploadFile, uploadFile.name);
try {
const res = await this.fetchYoumlApi(
`/v1/comfy/recipes/${recipeId}/thumbnail`,
{
method: "POST",
body: form,
},
"Uploading thumbnail..."
);
} catch (e) {
if (e?.response?.status === 413) {
throw new Error("File size is too large (max 20MB)");
} else {
throw new Error("Error uploading thumbnail: " + e.message);
}
}
}
async handleShareButtonClick() {
this.message.textContent = "";
await this.saveToken(this.apiTokenInput.value);
try {
this.shareButton.disabled = true;
this.shareButton.textContent = "Sharing...";
await this.share();
} catch (e) {
alert(e.message);
} finally {
this.shareButton.disabled = false;
this.shareButton.textContent = "Share";
}
}
async share() {
const prompt = await app.graphToPrompt();
const workflowJSON = prompt["workflow"];
const workflowAPIJSON = prompt["output"];
const form_values = {
name: this.nameInput.value,
description: this.descriptionInput.value,
};
if (!this.apiTokenInput.value) {
throw new Error("API token is required");
}
if (!this.selectedFile) {
throw new Error("Thumbnail is required");
}
if (!form_values.name) {
throw new Error("Title is required");
}
try {
let snapshotData = null;
try {
const snapshot = await api.fetchApi(`/snapshot/get_current`)
snapshotData = await snapshot.json()
} catch (e) {
console.error("Failed to get snapshot", e)
}
const request = {
name: this.nameInput.value,
description: this.descriptionInput.value,
workflowUiJson: JSON.stringify(workflowJSON),
workflowApiJson: JSON.stringify(workflowAPIJSON),
}
if (snapshotData) {
request.snapshotJson = JSON.stringify(snapshotData)
}
const response = await this.fetchYoumlApi(
"/v1/comfy/recipes",
{
method: "POST",
headers: {"Content-Type": "application/json"},
body: JSON.stringify(request),
},
"Uploading workflow..."
);
if (response.ok) {
const {id, recipePageUrl, editorPageUrl} = response.data;
if (id) {
let messagePrefix = "Workflow has been shared."
if (this.selectedFile) {
try {
await this.uploadThumbnail(this.selectedFile, id);
} catch (e) {
console.error("Thumbnail upload failed: ", e);
messagePrefix = "Workflow has been shared, but thumbnail upload failed. You can create a thumbnail on YouML later."
}
}
this.message.innerHTML = `${messagePrefix} To turn your workflow into an interactive app, ` +
`<a href="${recipePageUrl}" target="_blank">visit it on YouML</a>`;
this.uploadedImages = [];
this.nameInput.value = "";
this.descriptionInput.value = "";
this.radioButtons.forEach((ele) => {
ele.checked = false;
ele.parentElement.classList.remove("checked");
});
this.selectedOutputIndex = 0;
this.selectedNodeId = null;
this.selectedFile = null;
}
}
} catch (e) {
throw new Error("Error sharing workflow: " + e.message);
}
}
async fetchImageBlob(url) {
const response = await fetch(url);
const blob = await response.blob();
return blob;
}
async show(potentialOutputs, potentialOutputNodes) {
const potentialOutputsToOrder = {};
potentialOutputNodes.forEach((node, index) => {
if (node.id in potentialOutputsToOrder) {
potentialOutputsToOrder[node.id][1].push(potentialOutputs[index]);
} else {
potentialOutputsToOrder[node.id] = [node, [potentialOutputs[index]]];
}
})
const sortedPotentialOutputsToOrder = Object.fromEntries(
Object.entries(potentialOutputsToOrder).sort((a, b) => a[0].id - b[0].id)
);
const sortedPotentialOutputs = []
const sortedPotentiaOutputNodes = []
for (const [key, value] of Object.entries(sortedPotentialOutputsToOrder)) {
sortedPotentiaOutputNodes.push(value[0]);
sortedPotentialOutputs.push(...value[1]);
}
potentialOutputNodes = sortedPotentiaOutputNodes;
potentialOutputs = sortedPotentialOutputs;
// If `selectedNodeId` is provided, we will select the corresponding radio
// button for the node. In addition, we move the selected radio button to
// the top of the list.
if (this.selectedNodeId) {
const index = potentialOutputNodes.findIndex(node => node.id === this.selectedNodeId);
if (index >= 0) {
this.selectedOutputIndex = index;
}
}
this.radioButtons = [];
const newRadioButtons = $el("div.output-panel",
{
id: "selectOutput-Options",
},
potentialOutputs.map((output, index) => {
const {node_id: nodeId} = output;
const radioButton = $el("input.radio-button", {
type: "radio",
name: "selectOutputImages",
value: index,
required: index === 0
}, [])
let radioButtonImage;
let filename;
if (output.type === "image" || output.type === "temp") {
radioButtonImage = $el("img.output-image", {
src: `/view?filename=${output.image.filename}&subfolder=${output.image.subfolder}&type=${output.image.type}`,
}, []);
filename = output.image.filename
} else if (output.type === "output") {
radioButtonImage = $el("img.output-image", {
src: output.output.value,
}, []);
filename = output.output.filename
} else {
radioButtonImage = $el("img.output-image", {
src: "",
}, []);
}
const radioButtonText = $el("span.radio-text", {}, [output.title])
const nodeIdChip = $el("span.node-id", {}, [`Node: ${nodeId}`])
radioButton.checked = this.selectedOutputIndex === index;
radioButton.onchange = async () => {
this.selectedOutputIndex = parseInt(radioButton.value);
// Remove the "checked" class from all radio buttons
this.radioButtons.forEach((ele) => {
ele.parentElement.classList.remove("checked");
});
radioButton.parentElement.classList.add("checked");
this.fetchImageBlob(radioButtonImage.src).then((blob) => {
const file = new File([blob], filename, {
type: blob.type,
});
this.selectedFile = file;
})
};
if (radioButton.checked) {
this.fetchImageBlob(radioButtonImage.src).then((blob) => {
const file = new File([blob], filename, {
type: blob.type,
});
this.selectedFile = file;
})
}
this.radioButtons.push(radioButton);
return $el(`label.output-label${radioButton.checked ? '.checked' : ''}`, {},
[radioButtonImage, radioButtonText, radioButton, nodeIdChip]);
})
);
let header;
if (this.radioButtons.length === 0) {
header = $el("div.missing-output-message", {textContent: "Queue Prompt to see the outputs and select a thumbnail"}, [])
} else {
header = $el("div.select-output-message", {textContent: "Choose one from the outputs (scroll to see all)"}, [])
}
this.outputsSection.innerHTML = "";
this.outputsSection.appendChild(header);
if (this.radioButtons.length > 0) {
this.outputsSection.appendChild(newRadioButtons);
}
this.message.innerHTML = "";
this.message.textContent = "";
const token = await this.loadToken();
this.apiTokenInput.value = token;
this.uploadedImages = [];
this.element.style.display = "block";
}
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/common.js
-166
View File
@@ -1,166 +0,0 @@
import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js";
export async function sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
export function rebootAPI() {
if (confirm("Are you sure you'd like to reboot the server?")) {
try {
api.fetchApi("/manager/reboot");
}
catch(exception) {
}
return true;
}
return false;
}
export async function install_checked_custom_node(grid_rows, target_i, caller, mode) {
if(caller) {
let failed = '';
caller.disableButtons();
for(let i in grid_rows) {
if(!grid_rows[i].checkbox.checked && i != target_i)
continue;
var target;
if(grid_rows[i].data.custom_node) {
target = grid_rows[i].data.custom_node;
}
else {
target = grid_rows[i].data;
}
caller.startInstall(target);
try {
const response = await api.fetchApi(`/customnode/${mode}`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(target)
});
if(response.status == 400) {
show_message(`${mode} failed: ${target.title}`);
continue;
}
const status = await response.json();
app.ui.dialog.close();
target.installed = 'True';
continue;
}
catch(exception) {
failed += `<BR> ${target.title}`;
}
}
if(failed != '') {
show_message(`${mode} failed: ${failed}`);
}
await caller.invalidateControl();
caller.updateMessage("<BR>To apply the installed/updated/disabled/enabled custom node, please <button id='cm-reboot-button' class='cm-small-button'>RESTART</button> ComfyUI. And refresh browser.", 'cm-reboot-button');
}
};
export var manager_instance = null;
export function setManagerInstance(obj) {
manager_instance = obj;
}
function isValidURL(url) {
if(url.includes('&'))
return false;
const pattern = /^(https?|ftp):\/\/[^\s/$.?#].[^\s]*$/;
return pattern.test(url);
}
export async function install_pip(packages) {
if(packages.includes('&'))
app.ui.dialog.show(`Invalid PIP package enumeration: '${packages}'`);
const res = await api.fetchApi(`/customnode/install/pip?packages=${packages}`);
if(res.status == 200) {
app.ui.dialog.show(`PIP package installation is processed.<br>To apply the pip packages, please click the <button id='cm-reboot-button'><font size='3px'>RESTART</font></button> button in ComfyUI.`);
const rebootButton = document.getElementById('cm-reboot-button');
const self = this;
rebootButton.addEventListener("click", rebootAPI);
app.ui.dialog.element.style.zIndex = 10010;
}
else {
app.ui.dialog.show(`Failed to install '${packages}'<BR>See terminal log.`);
app.ui.dialog.element.style.zIndex = 10010;
}
}
export async function install_via_git_url(url, manager_dialog) {
if(!url) {
return;
}
if(!isValidURL(url)) {
app.ui.dialog.show(`Invalid Git url '${url}'`);
app.ui.dialog.element.style.zIndex = 10010;
return;
}
app.ui.dialog.show(`Wait...<BR><BR>Installing '${url}'`);
app.ui.dialog.element.style.zIndex = 10010;
const res = await api.fetchApi(`/customnode/install/git_url?url=${url}`);
if(res.status == 200) {
app.ui.dialog.show(`'${url}' is installed<BR>To apply the installed custom node, please <button id='cm-reboot-button'><font size='3px'>RESTART</font></button> ComfyUI.`);
const rebootButton = document.getElementById('cm-reboot-button');
const self = this;
rebootButton.addEventListener("click",
function() {
if(rebootAPI()) {
manager_dialog.close();
}
});
app.ui.dialog.element.style.zIndex = 10010;
}
else {
app.ui.dialog.show(`Failed to install '${url}'<BR>See terminal log.`);
app.ui.dialog.element.style.zIndex = 10010;
}
}
export async function free_models() {
let res = await api.fetchApi(`/free`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: '{}'
});
if(res.status == 200) {
app.ui.dialog.show('Models have been unloaded.')
}
else {
app.ui.dialog.show('Unloading of models failed.<BR><BR>Installed ComfyUI may be an outdated version.')
}
app.ui.dialog.element.style.zIndex = 10010;
}
export function show_message(msg) {
app.ui.dialog.show(msg);
app.ui.dialog.element.style.zIndex = 10010;
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/components-manager.js
-809
View File
@@ -1,809 +0,0 @@
import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js"
import { sleep, show_message } from "./common.js";
import { GroupNodeConfig, GroupNodeHandler } from "../../extensions/core/groupNode.js";
import { ComfyDialog, $el } from "../../scripts/ui.js";
let pack_map = {};
let rpack_map = {};
export function getPureName(node) {
// group nodes/
let category = null;
if(node.category) {
category = node.category.substring(12);
}
else {
category = node.constructor.category?.substring(12);
}
if(category) {
let purename = node.comfyClass.substring(category.length+1);
return purename;
}
else if(node.comfyClass.startsWith('workflow/')) {
return node.comfyClass.substring(9);
}
else {
return node.comfyClass;
}
}
function isValidVersionString(version) {
const versionPattern = /^(\d+)\.(\d+)(\.(\d+))?$/;
const match = version.match(versionPattern);
return match !== null &&
parseInt(match[1], 10) >= 0 &&
parseInt(match[2], 10) >= 0 &&
(!match[3] || parseInt(match[4], 10) >= 0);
}
function register_pack_map(name, data) {
if(data.packname) {
pack_map[data.packname] = name;
rpack_map[name] = data;
}
else {
rpack_map[name] = data;
}
}
function storeGroupNode(name, data, register=true) {
let extra = app.graph.extra;
if (!extra) app.graph.extra = extra = {};
let groupNodes = extra.groupNodes;
if (!groupNodes) extra.groupNodes = groupNodes = {};
groupNodes[name] = data;
if(register) {
register_pack_map(name, data);
}
}
export async function load_components() {
let data = await api.fetchApi('/manager/component/loads', {method: "POST"});
let components = await data.json();
let start_time = Date.now();
let failed = [];
let failed2 = [];
for(let name in components) {
if(app.graph.extra?.groupNodes?.[name]) {
if(data) {
let data = components[name];
let category = data.packname;
if(data.category) {
category += "/" + data.category;
}
if(category == '') {
category = 'components';
}
const config = new GroupNodeConfig(name, data);
await config.registerType(category);
register_pack_map(name, data);
continue;
}
}
let nodeData = components[name];
storeGroupNode(name, nodeData);
const config = new GroupNodeConfig(name, nodeData);
while(true) {
try {
let category = nodeData.packname;
if(nodeData.category) {
category += "/" + nodeData.category;
}
if(category == '') {
category = 'components';
}
await config.registerType(category);
register_pack_map(name, nodeData);
break;
}
catch {
let elapsed_time = Date.now() - start_time;
if (elapsed_time > 5000) {
failed.push(name);
break;
} else {
await sleep(100);
}
}
}
}
// fallback1
for(let i in failed) {
let name = failed[i];
if(app.graph.extra?.groupNodes?.[name]) {
continue;
}
let nodeData = components[name];
storeGroupNode(name, nodeData);
const config = new GroupNodeConfig(name, nodeData);
while(true) {
try {
let category = nodeData.packname;
if(nodeData.workflow.category) {
category += "/" + nodeData.category;
}
if(category == '') {
category = 'components';
}
await config.registerType(category);
register_pack_map(name, nodeData);
break;
}
catch {
let elapsed_time = Date.now() - start_time;
if (elapsed_time > 10000) {
failed2.push(name);
break;
} else {
await sleep(100);
}
}
}
}
// fallback2
for(let name in failed2) {
let name = failed2[i];
let nodeData = components[name];
storeGroupNode(name, nodeData);
const config = new GroupNodeConfig(name, nodeData);
while(true) {
try {
let category = nodeData.workflow.packname;
if(nodeData.workflow.category) {
category += "/" + nodeData.category;
}
if(category == '') {
category = 'components';
}
await config.registerType(category);
register_pack_map(name, nodeData);
break;
}
catch {
let elapsed_time = Date.now() - start_time;
if (elapsed_time > 30000) {
failed.push(name);
break;
} else {
await sleep(100);
}
}
}
}
}
async function save_as_component(node, version, author, prefix, nodename, packname, category) {
let component_name = `${prefix}::${nodename}`;
let subgraph = app.graph.extra?.groupNodes?.[component_name];
if(!subgraph) {
subgraph = app.graph.extra?.groupNodes?.[getPureName(node)];
}
subgraph.version = version;
subgraph.author = author;
subgraph.datetime = Date.now();
subgraph.packname = packname;
subgraph.category = category;
let body =
{
name: component_name,
workflow: subgraph
};
pack_map[packname] = component_name;
rpack_map[component_name] = subgraph;
const res = await api.fetchApi('/manager/component/save', {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify(body),
});
if(res.status == 200) {
storeGroupNode(component_name, subgraph);
const config = new GroupNodeConfig(component_name, subgraph);
let category = body.workflow.packname;
if(body.workflow.category) {
category += "/" + body.workflow.category;
}
if(category == '') {
category = 'components';
}
await config.registerType(category);
let path = await res.text();
show_message(`Component '${component_name}' is saved into:\n${path}`);
}
else
show_message(`Failed to save component.`);
}
async function import_component(component_name, component, mode) {
if(mode) {
let body =
{
name: component_name,
workflow: component
};
const res = await api.fetchApi('/manager/component/save', {
method: "POST",
headers: { "Content-Type": "application/json", },
body: JSON.stringify(body)
});
}
let category = component.packname;
if(component.category) {
category += "/" + component.category;
}
if(category == '') {
category = 'components';
}
storeGroupNode(component_name, component);
const config = new GroupNodeConfig(component_name, component);
await config.registerType(category);
}
function restore_to_loaded_component(component_name) {
if(rpack_map[component_name]) {
let component = rpack_map[component_name];
storeGroupNode(component_name, component, false);
const config = new GroupNodeConfig(component_name, component);
config.registerType(component.category);
}
}
// Using a timestamp prevents duplicate pastes and ensures the prevention of re-deletion of litegrapheditor_clipboard.
let last_paste_timestamp = null;
function versionCompare(v1, v2) {
let ver1;
let ver2;
if(v1 && v1 != '') {
ver1 = v1.split('.');
ver1[0] = parseInt(ver1[0]);
ver1[1] = parseInt(ver1[1]);
if(ver1.length == 2)
ver1.push(0);
else
ver1[2] = parseInt(ver2[2]);
}
else {
ver1 = [0,0,0];
}
if(v2 && v2 != '') {
ver2 = v2.split('.');
ver2[0] = parseInt(ver2[0]);
ver2[1] = parseInt(ver2[1]);
if(ver2.length == 2)
ver2.push(0);
else
ver2[2] = parseInt(ver2[2]);
}
else {
ver2 = [0,0,0];
}
if(ver1[0] > ver2[0])
return -1;
else if(ver1[0] < ver2[0])
return 1;
if(ver1[1] > ver2[1])
return -1;
else if(ver1[1] < ver2[1])
return 1;
if(ver1[2] > ver2[2])
return -1;
else if(ver1[2] < ver2[2])
return 1;
return 0;
}
function checkVersion(name, component) {
let msg = '';
if(rpack_map[name]) {
let old_version = rpack_map[name].version;
if(!old_version || old_version == '') {
msg = ` '${name}' Upgrade (V0.0 -> V${component.version})`;
}
else {
let c = versionCompare(old_version, component.version);
if(c < 0) {
msg = ` '${name}' Downgrade (V${old_version} -> V${component.version})`;
}
else if(c > 0) {
msg = ` '${name}' Upgrade (V${old_version} -> V${component.version})`;
}
else {
msg = ` '${name}' Same version (V${component.version})`;
}
}
}
else {
msg = `'${name}' NEW (V${component.version})`;
}
return msg;
}
function handle_import_components(components) {
let msg = 'Components:\n';
let cnt = 0;
for(let name in components) {
let component = components[name];
let v = checkVersion(name, component);
if(cnt < 10) {
msg += v + '\n';
}
else if (cnt == 10) {
msg += '...\n';
}
else {
// do nothing
}
cnt++;
}
let last_name = null;
msg += '\nWill you load components?\n';
if(confirm(msg)) {
let mode = confirm('\nWill you save components?\n(cancel=load without save)');
for(let name in components) {
let component = components[name];
import_component(name, component, mode);
last_name = name;
}
if(mode) {
show_message('Components are saved.');
}
else {
show_message('Components are loaded.');
}
}
if(cnt == 1 && last_name) {
const node = LiteGraph.createNode(`workflow/${last_name}`);
node.pos = [app.canvas.graph_mouse[0], app.canvas.graph_mouse[1]];
app.canvas.graph.add(node, false);
}
}
function handlePaste(e) {
let data = (e.clipboardData || window.clipboardData);
const items = data.items;
for(const item of items) {
if(item.kind == 'string' && item.type == 'text/plain') {
data = data.getData("text/plain");
try {
let json_data = JSON.parse(data);
if(json_data.kind == 'ComfyUI Components' && last_paste_timestamp != json_data.timestamp) {
last_paste_timestamp = json_data.timestamp;
handle_import_components(json_data.components);
// disable paste node
localStorage.removeItem("litegrapheditor_clipboard", null);
}
else {
console.log('This components are already pasted: ignored');
}
}
catch {
// nothing to do
}
}
}
}
document.addEventListener("paste", handlePaste);
export class ComponentBuilderDialog extends ComfyDialog {
constructor() {
super();
}
clear() {
while (this.element.children.length) {
this.element.removeChild(this.element.children[0]);
}
}
show() {
this.invalidateControl();
this.element.style.display = "block";
this.element.style.zIndex = 10001;
this.element.style.width = "500px";
this.element.style.height = "480px";
}
invalidateControl() {
this.clear();
let self = this;
const close_button = $el("button", { id: "cm-close-button", type: "button", textContent: "Close", onclick: () => self.close() });
this.save_button = $el("button",
{ id: "cm-save-button", type: "button", textContent: "Save", onclick: () =>
{
save_as_component(self.target_node, self.version_string.value.trim(), self.author.value.trim(), self.node_prefix.value.trim(),
self.getNodeName(), self.getPackName(), self.category.value.trim());
}
});
let default_nodename = getPureName(this.target_node).trim();
let groupNode = app.graph.extra.groupNodes[default_nodename];
let default_packname = groupNode.packname;
if(!default_packname) {
default_packname = '';
}
let default_category = groupNode.category;
if(!default_category) {
default_category = '';
}
this.default_ver = groupNode.version;
if(!this.default_ver) {
this.default_ver = '0.0';
}
let default_author = groupNode.author;
if(!default_author) {
default_author = '';
}
let delimiterIndex = default_nodename.indexOf('::');
let default_prefix = "";
if(delimiterIndex != -1) {
default_prefix = default_nodename.substring(0, delimiterIndex);
default_nodename = default_nodename.substring(delimiterIndex + 2);
}
if(!default_prefix) {
this.save_button.disabled = true;
}
this.pack_list = this.createPackListCombo();
let version_string = this.createLabeledInput('input version (e.g. 1.0)', '*Version : ', this.default_ver);
this.version_string = version_string[1];
this.version_string.disabled = true;
let author = this.createLabeledInput('input author (e.g. Dr.Lt.Data)', 'Author : ', default_author);
this.author = author[1];
let node_prefix = this.createLabeledInput('input node prefix (e.g. mypack)', '*Prefix : ', default_prefix);
this.node_prefix = node_prefix[1];
let manual_nodename = this.createLabeledInput('input node name (e.g. MAKE_BASIC_PIPE)', 'Nodename : ', default_nodename);
this.manual_nodename = manual_nodename[1];
let manual_packname = this.createLabeledInput('input pack name (e.g. mypack)', 'Packname : ', default_packname);
this.manual_packname = manual_packname[1];
let category = this.createLabeledInput('input category (e.g. util/pipe)', 'Category : ', default_category);
this.category = category[1];
this.node_label = this.createNodeLabel();
let author_mode = this.createAuthorModeCheck();
this.author_mode = author_mode[0];
const content =
$el("div.comfy-modal-content",
[
$el("tr.cm-title", {}, [
$el("font", {size:6, color:"white"}, [`ComfyUI-Manager: Component Builder`])]
),
$el("br", {}, []),
$el("div.cm-menu-container",
[
author_mode[0],
author_mode[1],
category[0],
author[0],
node_prefix[0],
manual_nodename[0],
manual_packname[0],
version_string[0],
this.pack_list,
$el("br", {}, []),
this.node_label
]),
$el("br", {}, []),
this.save_button,
close_button,
]
);
content.style.width = '100%';
content.style.height = '100%';
this.element = $el("div.comfy-modal", { id:'cm-manager-dialog', parent: document.body }, [ content ]);
}
validateInput() {
let msg = "";
if(!isValidVersionString(this.version_string.value)) {
msg += 'Invalid version string: '+event.value+"\n";
}
if(this.node_prefix.value.trim() == '') {
msg += 'Node prefix cannot be empty\n';
}
if(this.manual_nodename.value.trim() == '') {
msg += 'Node name cannot be empty\n';
}
if(msg != '') {
// alert(msg);
}
this.save_button.disabled = msg != "";
}
getPackName() {
if(this.pack_list.selectedIndex == 0) {
return this.manual_packname.value.trim();
}
return this.pack_list.value.trim();
}
getNodeName() {
if(this.manual_nodename.value.trim() != '') {
return this.manual_nodename.value.trim();
}
return getPureName(this.target_node);
}
createAuthorModeCheck() {
let check = $el("input",{type:'checkbox', id:"author-mode"},[])
const check_label = $el("label",{for:"author-mode"},["Enable author mode"]);
check_label.style.color = "var(--fg-color)";
check_label.style.cursor = "pointer";
check.checked = false;
let self = this;
check.onchange = () => {
self.version_string.disabled = !check.checked;
if(!check.checked) {
self.version_string.value = self.default_ver;
}
else {
alert('If you are not the author, it is not recommended to change the version, as it may cause component update issues.');
}
};
return [check, check_label];
}
createNodeLabel() {
let label = $el('p');
label.className = 'cb-node-label';
if(this.target_node.comfyClass.includes('::'))
label.textContent = getPureName(this.target_node);
else
label.textContent = " _::" + getPureName(this.target_node);
return label;
}
createLabeledInput(placeholder, label, value) {
let textbox = $el('input.cb-widget-input', {type:'text', placeholder:placeholder, value:value}, []);
let self = this;
textbox.onchange = () => {
this.validateInput.call(self);
this.node_label.textContent = this.node_prefix.value + "::" + this.manual_nodename.value;
}
let row = $el('span.cb-widget', {}, [ $el('span.cb-widget-input-label', label), textbox]);
return [row, textbox];
}
createPackListCombo() {
let combo = document.createElement("select");
combo.className = "cb-widget";
let default_packname_option = { value: '##manual', text: 'Packname: Manual' };
combo.appendChild($el('option', default_packname_option, []));
for(let name in pack_map) {
combo.appendChild($el('option', { value: name, text: 'Packname: '+ name }, []));
}
let self = this;
combo.onchange = function () {
if(combo.selectedIndex == 0) {
self.manual_packname.disabled = false;
}
else {
self.manual_packname.disabled = true;
}
};
return combo;
}
}
let orig_handleFile = app.handleFile;
function handleFile(file) {
if (file.name?.endsWith(".json") || file.name?.endsWith(".pack")) {
const reader = new FileReader();
reader.onload = async () => {
let is_component = false;
const jsonContent = JSON.parse(reader.result);
for(let name in jsonContent) {
let cand = jsonContent[name];
is_component = cand.datetime && cand.version;
break;
}
if(is_component) {
handle_import_components(jsonContent);
}
else {
orig_handleFile.call(app, file);
}
};
reader.readAsText(file);
return;
}
orig_handleFile.call(app, file);
}
app.handleFile = handleFile;
let current_component_policy = 'workflow';
try {
api.fetchApi('/manager/component/policy')
.then(response => response.text())
.then(data => { current_component_policy = data; });
}
catch {}
function getChangedVersion(groupNodes) {
if(!Object.keys(pack_map).length || !groupNodes)
return null;
let res = {};
for(let component_name in groupNodes) {
let data = groupNodes[component_name];
if(rpack_map[component_name]) {
let v = versionCompare(data.version, rpack_map[component_name].version);
res[component_name] = v;
}
}
return res;
}
const loadGraphData = app.loadGraphData;
app.loadGraphData = async function () {
if(arguments.length == 0)
return await loadGraphData.apply(this, arguments);
let graphData = arguments[0];
let groupNodes = graphData.extra?.groupNodes;
let res = getChangedVersion(groupNodes);
if(res) {
let target_components = null;
switch(current_component_policy) {
case 'higher':
target_components = Object.keys(res).filter(key => res[key] == 1);
break;
case 'mine':
target_components = Object.keys(res);
break;
default:
// do nothing
}
if(target_components) {
for(let i in target_components) {
let component_name = target_components[i];
let component = rpack_map[component_name];
if(component && graphData.extra?.groupNodes) {
graphData.extra.groupNodes[component_name] = component;
}
}
}
}
else {
console.log('Empty components: policy ignored');
}
arguments[0] = graphData;
return await loadGraphData.apply(this, arguments);
};
export function set_component_policy(v) {
current_component_policy = v;
}
let graphToPrompt = app.graphToPrompt;
app.graphToPrompt = async function () {
let p = await graphToPrompt.call(app);
try {
let groupNodes = p.workflow.extra?.groupNodes;
if(groupNodes) {
p.workflow.extra = { ... p.workflow.extra};
// get used group nodes
let used_group_nodes = new Set();
for(let node of p.workflow.nodes) {
if(node.type.startsWith('workflow/')) {
used_group_nodes.add(node.type.substring(9));
}
}
// remove unused group nodes
let new_groupNodes = {};
for (let key in p.workflow.extra.groupNodes) {
if (used_group_nodes.has(key)) {
new_groupNodes[key] = p.workflow.extra.groupNodes[key];
}
}
p.workflow.extra.groupNodes = new_groupNodes;
}
}
catch(e) {
console.log(`Failed to filtering group nodes: ${e}`);
}
return p;
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/custom-nodes-downloader.js
-801
View File
@@ -1,801 +0,0 @@
import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js"
import { ComfyDialog, $el } from "../../scripts/ui.js";
import { install_checked_custom_node, manager_instance, rebootAPI } from "./common.js";
async function getCustomNodes() {
var mode = manager_instance.datasrc_combo.value;
var skip_update = "";
if(manager_instance.update_check_checkbox.checked)
skip_update = "&skip_update=true";
const response = await api.fetchApi(`/customnode/getlist?mode=${mode}${skip_update}`);
const data = await response.json();
return data;
}
async function getCustomnodeMappings() {
var mode = manager_instance.datasrc_combo.value;
const response = await api.fetchApi(`/customnode/getmappings?mode=${mode}`);
const data = await response.json();
return data;
}
async function getConflictMappings() {
var mode = manager_instance.datasrc_combo.value;
const response = await api.fetchApi(`/customnode/getmappings?mode=${mode}`);
const data = await response.json();
let node_to_extensions_map = {};
for(let k in data) {
for(let i in data[k][0]) {
let node = data[k][0][i];
let l = node_to_extensions_map[node];
if(!l) {
l = [];
node_to_extensions_map[node] = l;
}
l.push(k);
}
}
let conflict_map = {};
for(let node in node_to_extensions_map) {
if(node_to_extensions_map[node].length > 1) {
for(let i in node_to_extensions_map[node]) {
let extension = node_to_extensions_map[node][i];
let l = conflict_map[extension];
if(!l) {
l = [];
conflict_map[extension] = l;
}
for(let j in node_to_extensions_map[node]) {
let extension2 = node_to_extensions_map[node][j];
if(extension != extension2)
l.push([node, extension2]);
}
}
}
}
return conflict_map;
}
async function getUnresolvedNodesInComponent() {
try {
var mode = manager_instance.datasrc_combo.value;
const response = await api.fetchApi(`/component/get_unresolved`);
const data = await response.json();
return data.nodes;
}
catch {
return [];
}
}
export class CustomNodesInstaller extends ComfyDialog {
static instance = null;
install_buttons = [];
message_box = null;
data = null;
static ShowMode = {
NORMAL: 0,
MISSING_NODES: 1,
UPDATE: 2,
};
clear() {
this.install_buttons = [];
this.message_box = null;
this.data = null;
}
constructor(app, manager_dialog) {
super();
this.manager_dialog = manager_dialog;
this.search_keyword = '';
this.element = $el("div.comfy-modal", { parent: document.body }, []);
}
startInstall(target) {
const self = CustomNodesInstaller.instance;
self.updateMessage(`<BR><font color="green">Installing '${target.title}'</font>`);
}
disableButtons() {
for(let i in this.install_buttons) {
this.install_buttons[i].disabled = true;
this.install_buttons[i].style.backgroundColor = 'gray';
}
}
apply_searchbox(data) {
let keyword = this.search_box.value.toLowerCase();
for(let i in this.grid_rows) {
let data = this.grid_rows[i].data;
let content = data.author.toLowerCase() + data.description.toLowerCase() + data.title.toLowerCase() + data.reference.toLowerCase();
if(this.filter && this.filter != '*') {
if(this.filter == 'True' && (data.installed == 'Update' || data.installed == 'Fail')) {
this.grid_rows[i].control.style.display = null;
}
else if(this.filter != data.installed) {
this.grid_rows[i].control.style.display = 'none';
continue;
}
}
if(keyword == "")
this.grid_rows[i].control.style.display = null;
else if(content.includes(keyword)) {
this.grid_rows[i].control.style.display = null;
}
else {
this.grid_rows[i].control.style.display = 'none';
}
}
}
async filter_missing_node(data) {
const mappings = await getCustomnodeMappings();
// build regex->url map
const regex_to_url = [];
for (let i in data) {
if(data[i]['nodename_pattern']) {
let item = {regex: new RegExp(data[i].nodename_pattern), url: data[i].files[0]};
regex_to_url.push(item);
}
}
// build name->url map
const name_to_url = {};
for (const url in mappings) {
const names = mappings[url];
for(const name in names[0]) {
name_to_url[names[0][name]] = url;
}
}
const registered_nodes = new Set();
for (let i in LiteGraph.registered_node_types) {
registered_nodes.add(LiteGraph.registered_node_types[i].type);
}
const missing_nodes = new Set();
const workflow = app.graph.serialize();
const group_nodes = workflow.extra && workflow.extra.groupNodes ? workflow.extra.groupNodes : [];
let nodes = workflow.nodes;
for (let i in group_nodes) {
let group_node = group_nodes[i];
nodes = nodes.concat(group_node.nodes);
}
for (let i in nodes) {
const node_type = nodes[i].type;
if(node_type.startsWith('workflow/'))
continue;
if (!registered_nodes.has(node_type)) {
const url = name_to_url[node_type.trim()];
if(url)
missing_nodes.add(url);
else {
for(let j in regex_to_url) {
if(regex_to_url[j].regex.test(node_type)) {
missing_nodes.add(regex_to_url[j].url);
}
}
}
}
}
let unresolved_nodes = await getUnresolvedNodesInComponent();
for (let i in unresolved_nodes) {
let node_type = unresolved_nodes[i];
const url = name_to_url[node_type];
if(url)
missing_nodes.add(url);
}
return data.filter(node => node.files.some(file => missing_nodes.has(file)));
}
async invalidateControl() {
this.clear();
// splash
while (this.element.children.length) {
this.element.removeChild(this.element.children[0]);
}
const msg = $el('div', {id:'custom-message'},
[$el('br'),
'The custom node DB is currently being updated, and updates to custom nodes are being checked for.',
$el('br'),
'NOTE: Update only checks for extensions that have been fetched.',
$el('br')]);
msg.style.height = '100px';
msg.style.verticalAlign = 'middle';
msg.style.color = "var(--fg-color)";
this.element.appendChild(msg);
// invalidate
let data = await getCustomNodes();
this.data = data.custom_nodes;
this.channel = data.channel;
this.conflict_mappings = await getConflictMappings();
if(this.show_mode == CustomNodesInstaller.ShowMode.MISSING_NODES)
this.data = await this.filter_missing_node(this.data);
this.element.removeChild(msg);
while (this.element.children.length) {
this.element.removeChild(this.element.children[0]);
}
this.createHeaderControls();
await this.createGrid();
this.apply_searchbox(this.data);
this.createBottomControls();
}
updateMessage(msg, btn_id) {
this.message_box.innerHTML = msg;
if(btn_id) {
const rebootButton = document.getElementById(btn_id);
const self = this;
rebootButton.addEventListener("click",
function() {
if(rebootAPI()) {
self.close();
self.manager_dialog.close();
}
});
console.log(rebootButton);
}
}
invalidate_checks(is_checked, install_state) {
if(is_checked) {
for(let i in this.grid_rows) {
let data = this.grid_rows[i].data;
let checkbox = this.grid_rows[i].checkbox;
let buttons = this.grid_rows[i].buttons;
checkbox.disabled = data.installed != install_state;
if(checkbox.disabled) {
for(let j in buttons) {
buttons[j].style.display = 'none';
}
}
else {
for(let j in buttons) {
buttons[j].style.display = null;
}
}
}
this.checkbox_all.disabled = false;
}
else {
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
if(checkbox.check)
return; // do nothing
}
// every checkbox is unchecked -> enable all checkbox
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
let buttons = this.grid_rows[i].buttons;
checkbox.disabled = false;
for(let j in buttons) {
buttons[j].style.display = null;
}
}
this.checkbox_all.checked = false;
this.checkbox_all.disabled = true;
}
}
check_all(is_checked) {
if(is_checked) {
// lookup first checked item's state
let check_state = null;
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
if(checkbox.checked) {
check_state = this.grid_rows[i].data.installed;
}
}
if(check_state == null)
return;
// check only same state items
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
if(this.grid_rows[i].data.installed == check_state)
checkbox.checked = true;
}
}
else {
// uncheck all
for(let i in this.grid_rows) {
let checkbox = this.grid_rows[i].checkbox;
let buttons = this.grid_rows[i].buttons;
checkbox.checked = false;
checkbox.disabled = false;
for(let j in buttons) {
buttons[j].style.display = null;
}
}
this.checkbox_all.disabled = true;
}
}
async createGrid() {
var grid = document.createElement('table');
grid.setAttribute('id', 'custom-nodes-grid');
this.grid_rows = {};
let self = this;
var thead = document.createElement('thead');
var tbody = document.createElement('tbody');
var headerRow = document.createElement('tr');
thead.style.position = "sticky";
thead.style.top = "0px";
thead.style.borderCollapse = "collapse";
thead.style.tableLayout = "fixed";
var header0 = document.createElement('th');
header0.style.width = "20px";
this.checkbox_all = $el("input",{type:'checkbox', id:'check_all'},[]);
header0.appendChild(this.checkbox_all);
this.checkbox_all.checked = false;
this.checkbox_all.disabled = true;
this.checkbox_all.addEventListener('change', function() { self.check_all.call(self, self.checkbox_all.checked); });
var header1 = document.createElement('th');
header1.innerHTML = '&nbsp;&nbsp;ID&nbsp;&nbsp;';
header1.style.width = "20px";
var header2 = document.createElement('th');
header2.innerHTML = 'Author';
header2.style.width = "150px";
var header3 = document.createElement('th');
header3.innerHTML = 'Name';
header3.style.width = "20%";
var header4 = document.createElement('th');
header4.innerHTML = 'Description';
header4.style.width = "60%";
// header4.classList.add('expandable-column');
var header5 = document.createElement('th');
header5.innerHTML = 'Install';
header5.style.width = "130px";
header0.style.position = "sticky";
header0.style.top = "0px";
header1.style.position = "sticky";
header1.style.top = "0px";
header2.style.position = "sticky";
header2.style.top = "0px";
header3.style.position = "sticky";
header3.style.top = "0px";
header4.style.position = "sticky";
header4.style.top = "0px";
header5.style.position = "sticky";
header5.style.top = "0px";
thead.appendChild(headerRow);
headerRow.appendChild(header0);
headerRow.appendChild(header1);
headerRow.appendChild(header2);
headerRow.appendChild(header3);
headerRow.appendChild(header4);
headerRow.appendChild(header5);
headerRow.style.backgroundColor = "Black";
headerRow.style.color = "White";
headerRow.style.textAlign = "center";
headerRow.style.width = "100%";
headerRow.style.padding = "0";
grid.appendChild(thead);
grid.appendChild(tbody);
if(this.data)
for (var i = 0; i < this.data.length; i++) {
const data = this.data[i];
let dataRow = document.createElement('tr');
let data0 = document.createElement('td');
let checkbox = $el("input",{type:'checkbox', id:`check_${i}`},[]);
data0.appendChild(checkbox);
checkbox.checked = false;
checkbox.addEventListener('change', function() { self.invalidate_checks.call(self, checkbox.checked, data.installed); });
var data1 = document.createElement('td');
data1.style.textAlign = "center";
data1.innerHTML = i+1;
var data2 = document.createElement('td');
data2.style.maxWidth = "100px";
data2.className = "cm-node-author"
data2.textContent = ` ${data.author}`;
data2.style.whiteSpace = "nowrap";
data2.style.overflow = "hidden";
data2.style.textOverflow = "ellipsis";
var data3 = document.createElement('td');
data3.style.maxWidth = "200px";
data3.style.wordWrap = "break-word";
data3.className = "cm-node-name"
data3.innerHTML = `&nbsp;<a href=${data.reference} target="_blank"><font color="skyblue"><b>${data.title}</b></font></a>`;
if(data.installed == 'Fail')
data3.innerHTML = '&nbsp;<font color="BLACK"><B>(IMPORT FAILED)</B></font>' + data3.innerHTML;
var data4 = document.createElement('td');
data4.innerHTML = data.description;
data4.className = "cm-node-desc"
let conflicts = this.conflict_mappings[data.files[0]];
if(conflicts) {
let buf = '<p class="cm-conflicted-nodes-text"><B><font color="BLACK">Conflicted Nodes:</FONT></B><BR>';
for(let k in conflicts) {
let node_name = conflicts[k][0];
let extension_name = conflicts[k][1].split('/').pop();
if(extension_name.endsWith('/')) {
extension_name = extension_name.slice(0, -1);
}
if(node_name.endsWith('.git')) {
extension_name = extension_name.slice(0, -4);
}
buf += `<B>${node_name}</B> [${extension_name}], `;
}
if(buf.endsWith(', ')) {
buf = buf.slice(0, -2);
}
buf += "</p>";
data4.innerHTML += buf;
}
var data5 = document.createElement('td');
data5.style.textAlign = "center";
var installBtn = document.createElement('button');
installBtn.className = "cm-btn-install";
var installBtn2 = null;
var installBtn3 = null;
var installBtn4 = null;
this.install_buttons.push(installBtn);
switch(data.installed) {
case 'Disabled':
installBtn3 = document.createElement('button');
installBtn3.innerHTML = 'Enable';
installBtn3.className = "cm-btn-enable";
installBtn3.style.backgroundColor = 'blue';
installBtn3.style.color = 'white';
this.install_buttons.push(installBtn3);
installBtn.innerHTML = 'Uninstall';
installBtn.style.backgroundColor = 'red';
break;
case 'Update':
installBtn2 = document.createElement('button');
installBtn2.innerHTML = 'Update';
installBtn2.className = "cm-btn-update";
installBtn2.style.backgroundColor = 'blue';
installBtn2.style.color = 'white';
this.install_buttons.push(installBtn2);
installBtn3 = document.createElement('button');
installBtn3.innerHTML = 'Disable';
installBtn3.className = "cm-btn-disable";
installBtn3.style.backgroundColor = 'MediumSlateBlue';
installBtn3.style.color = 'white';
this.install_buttons.push(installBtn3);
installBtn.innerHTML = 'Uninstall';
installBtn.style.backgroundColor = 'red';
break;
case 'Fail':
installBtn4 = document.createElement('button');
installBtn4.innerHTML = 'Try fix';
installBtn4.className = "cm-btn-disable";
installBtn4.style.backgroundColor = '#6495ED';
installBtn4.style.color = 'white';
this.install_buttons.push(installBtn4);
case 'True':
if(manager_instance.update_check_checkbox.checked) {
installBtn2 = document.createElement('button');
installBtn2.innerHTML = 'Try update';
installBtn2.className = "cm-btn-update";
installBtn2.style.backgroundColor = 'Gray';
installBtn2.style.color = 'white';
this.install_buttons.push(installBtn2);
}
installBtn3 = document.createElement('button');
installBtn3.innerHTML = 'Disable';
installBtn3.className = "cm-btn-disable";
installBtn3.style.backgroundColor = 'MediumSlateBlue';
installBtn3.style.color = 'white';
this.install_buttons.push(installBtn3);
installBtn.innerHTML = 'Uninstall';
installBtn.style.backgroundColor = 'red';
break;
case 'False':
installBtn.innerHTML = 'Install';
installBtn.style.backgroundColor = 'black';
installBtn.style.color = 'white';
break;
default:
installBtn.innerHTML = `Try Install`;
installBtn.style.backgroundColor = 'Gray';
installBtn.style.color = 'white';
}
let j = i;
if(installBtn2 != null) {
installBtn2.style.width = "120px";
installBtn2.addEventListener('click', function() {
install_checked_custom_node(self.grid_rows, j, CustomNodesInstaller.instance, 'update');
});
data5.appendChild(installBtn2);
}
if(installBtn3 != null) {
installBtn3.style.width = "120px";
installBtn3.addEventListener('click', function() {
install_checked_custom_node(self.grid_rows, j, CustomNodesInstaller.instance, 'toggle_active');
});
data5.appendChild(installBtn3);
}
if(installBtn4 != null) {
installBtn4.style.width = "120px";
installBtn4.addEventListener('click', function() {
install_checked_custom_node(self.grid_rows, j, CustomNodesInstaller.instance, 'fix');
});
data5.appendChild(installBtn4);
}
installBtn.style.width = "120px";
installBtn.addEventListener('click', function() {
if(this.innerHTML == 'Uninstall') {
if (confirm(`Are you sure uninstall ${data.title}?`)) {
install_checked_custom_node(self.grid_rows, j, CustomNodesInstaller.instance, 'uninstall');
}
}
else {
install_checked_custom_node(self.grid_rows, j, CustomNodesInstaller.instance, 'install');
}
});
if(!data.author.startsWith('#NOTICE')){
data5.appendChild(installBtn);
}
if(data.installed == 'Fail' || data.author.startsWith('#NOTICE'))
dataRow.style.backgroundColor = "#880000";
else
dataRow.style.backgroundColor = "var(--bg-color)";
dataRow.style.color = "var(--fg-color)";
dataRow.style.textAlign = "left";
dataRow.appendChild(data0);
dataRow.appendChild(data1);
dataRow.appendChild(data2);
dataRow.appendChild(data3);
dataRow.appendChild(data4);
dataRow.appendChild(data5);
tbody.appendChild(dataRow);
let buttons = [];
if(installBtn) {
buttons.push(installBtn);
}
if(installBtn2) {
buttons.push(installBtn2);
}
if(installBtn3) {
buttons.push(installBtn3);
}
this.grid_rows[i] = {data:data, buttons:buttons, checkbox:checkbox, control:dataRow};
}
const panel = document.createElement('div');
panel.style.width = "100%";
panel.appendChild(grid);
function handleResize() {
const parentHeight = self.element.clientHeight;
const gridHeight = parentHeight - 200;
grid.style.height = gridHeight + "px";
}
window.addEventListener("resize", handleResize);
grid.style.position = "relative";
grid.style.display = "inline-block";
grid.style.width = "100%";
grid.style.height = "100%";
grid.style.overflowY = "scroll";
this.element.style.height = "85%";
this.element.style.width = "80%";
this.element.appendChild(panel);
handleResize();
}
createFilterCombo() {
let combo = document.createElement("select");
combo.style.cssFloat = "left";
combo.style.fontSize = "14px";
combo.style.padding = "4px";
combo.style.background = "black";
combo.style.marginLeft = "2px";
combo.style.width = "199px";
combo.id = `combo-manger-filter`;
combo.style.borderRadius = "15px";
let items =
[
{ value:'*', text:'Filter: all' },
{ value:'Disabled', text:'Filter: disabled' },
{ value:'Update', text:'Filter: update' },
{ value:'True', text:'Filter: installed' },
{ value:'False', text:'Filter: not-installed' },
{ value:'Fail', text:'Filter: import failed' },
];
items.forEach(item => {
const option = document.createElement("option");
option.value = item.value;
option.text = item.text;
combo.appendChild(option);
});
if(this.show_mode == CustomNodesInstaller.ShowMode.UPDATE) {
this.filter = 'Update';
}
else if(this.show_mode == CustomNodesInstaller.ShowMode.MISSING_NODES) {
this.filter = '*';
}
let self = this;
combo.addEventListener('change', function(event) {
self.filter = event.target.value;
self.apply_searchbox();
});
if(self.filter) {
combo.value = self.filter;
}
return combo;
}
createHeaderControls() {
let self = this;
this.search_box = $el('input.cm-search-filter', {type:'text', id:'manager-customnode-search-box', placeholder:'input search keyword', value:this.search_keyword}, []);
this.search_box.style.height = "25px";
this.search_box.onkeydown = (event) => {
if (event.key === 'Enter') {
self.search_keyword = self.search_box.value;
self.apply_searchbox();
}
if (event.key === 'Escape') {
self.search_keyword = self.search_box.value;
self.apply_searchbox();
}
};
let search_button = document.createElement("button");
search_button.className = "cm-small-button";
search_button.innerHTML = "Search";
search_button.onclick = () => {
self.search_keyword = self.search_box.value;
self.apply_searchbox();
};
search_button.style.display = "inline-block";
let filter_control = this.createFilterCombo();
filter_control.style.display = "inline-block";
let channel_badge = '';
if(this.channel != 'default') {
channel_badge = $el('span', {id:'cm-channel-badge'}, [`Channel: ${this.channel} (Incomplete list)`]);
}
else {
}
let cell = $el('td', {width:'100%'}, [filter_control, channel_badge, this.search_box, ' ', search_button]);
let search_control = $el('table', {width:'100%'},
[
$el('tr', {}, [cell])
]
);
cell.style.textAlign = "right";
this.element.appendChild(search_control);
}
async createBottomControls() {
var close_button = document.createElement("button");
close_button.className = "cm-small-button";
close_button.innerHTML = "Close";
close_button.onclick = () => { this.close(); }
close_button.style.display = "inline-block";
this.message_box = $el('div', {id:'custom-installer-message'}, [$el('br'), '']);
this.message_box.style.height = '60px';
this.message_box.style.verticalAlign = 'middle';
this.element.appendChild(this.message_box);
this.element.appendChild(close_button);
}
async show(show_mode) {
this.show_mode = show_mode;
if(this.show_mode != CustomNodesInstaller.ShowMode.NORMAL) {
this.search_keyword = '';
}
try {
this.invalidateControl();
this.element.style.display = "block";
this.element.style.zIndex = 10001;
}
catch(exception) {
app.ui.dialog.show(`Failed to get custom node list. / ${exception}`);
}
}
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/model-downloader.js
-389
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@@ -1,389 +0,0 @@
import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js"
import { ComfyDialog, $el } from "../../scripts/ui.js";
import { install_checked_custom_node, manager_instance, rebootAPI } from "./common.js";
async function install_model(target) {
if(ModelInstaller.instance) {
ModelInstaller.instance.startInstall(target);
try {
const response = await api.fetchApi('/model/install', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(target)
});
const status = await response.json();
app.ui.dialog.close();
target.installed = 'True';
return true;
}
catch(exception) {
app.ui.dialog.show(`Install failed: ${target.title} / ${exception}`);
app.ui.dialog.element.style.zIndex = 10010;
return false;
}
finally {
await ModelInstaller.instance.invalidateControl();
ModelInstaller.instance.updateMessage("<BR>To apply the installed model, please click the 'Refresh' button on the main menu.");
}
}
}
async function getModelList() {
var mode = manager_instance.datasrc_combo.value;
const response = await api.fetchApi(`/externalmodel/getlist?mode=${mode}`);
const data = await response.json();
return data;
}
export class ModelInstaller extends ComfyDialog {
static instance = null;
install_buttons = [];
message_box = null;
data = null;
clear() {
this.install_buttons = [];
this.message_box = null;
this.data = null;
}
constructor(app, manager_dialog) {
super();
this.manager_dialog = manager_dialog;
this.search_keyword = '';
this.element = $el("div.comfy-modal", { parent: document.body }, []);
}
createControls() {
return [
$el("button.cm-small-button", {
type: "button",
textContent: "Close",
onclick: () => { this.close(); }
})
];
}
startInstall(target) {
const self = ModelInstaller.instance;
self.updateMessage(`<BR><font color="green">Installing '${target.name}'</font>`);
for(let i in self.install_buttons) {
self.install_buttons[i].disabled = true;
self.install_buttons[i].style.backgroundColor = 'gray';
}
}
apply_searchbox(data) {
let keyword = this.search_box.value.toLowerCase();
for(let i in this.grid_rows) {
let data = this.grid_rows[i].data;
let content = data.name.toLowerCase() + data.type.toLowerCase() + data.base.toLowerCase() + data.description.toLowerCase();
if(this.filter && this.filter != '*') {
if(this.filter != data.installed) {
this.grid_rows[i].control.style.display = 'none';
continue;
}
}
if(keyword == "")
this.grid_rows[i].control.style.display = null;
else if(content.includes(keyword)) {
this.grid_rows[i].control.style.display = null;
}
else {
this.grid_rows[i].control.style.display = 'none';
}
}
}
async invalidateControl() {
this.clear();
this.data = (await getModelList()).models;
while (this.element.children.length) {
this.element.removeChild(this.element.children[0]);
}
await this.createHeaderControls();
if(this.search_keyword) {
this.search_box.value = this.search_keyword;
}
await this.createGrid();
await this.createBottomControls();
this.apply_searchbox(this.data);
}
updateMessage(msg, btn_id) {
this.message_box.innerHTML = msg;
if(btn_id) {
const rebootButton = document.getElementById(btn_id);
const self = this;
rebootButton.addEventListener("click",
function() {
if(rebootAPI()) {
self.close();
self.manager_dialog.close();
}
});
}
}
async createGrid(models_json) {
var grid = document.createElement('table');
grid.setAttribute('id', 'external-models-grid');
var thead = document.createElement('thead');
var tbody = document.createElement('tbody');
var headerRow = document.createElement('tr');
thead.style.position = "sticky";
thead.style.top = "0px";
thead.style.borderCollapse = "collapse";
thead.style.tableLayout = "fixed";
var header1 = document.createElement('th');
header1.innerHTML = '&nbsp;&nbsp;ID&nbsp;&nbsp;';
header1.style.width = "20px";
var header2 = document.createElement('th');
header2.innerHTML = 'Type';
header2.style.width = "100px";
var header3 = document.createElement('th');
header3.innerHTML = 'Base';
header3.style.width = "100px";
var header4 = document.createElement('th');
header4.innerHTML = 'Name';
header4.style.width = "30%";
var header5 = document.createElement('th');
header5.innerHTML = 'Filename';
header5.style.width = "20%";
header5.style.tableLayout = "fixed";
var header6 = document.createElement('th');
header6.innerHTML = 'Description';
header6.style.width = "50%";
var header_down = document.createElement('th');
header_down.innerHTML = 'Download';
header_down.style.width = "50px";
thead.appendChild(headerRow);
headerRow.appendChild(header1);
headerRow.appendChild(header2);
headerRow.appendChild(header3);
headerRow.appendChild(header4);
headerRow.appendChild(header5);
headerRow.appendChild(header6);
headerRow.appendChild(header_down);
headerRow.style.backgroundColor = "Black";
headerRow.style.color = "White";
headerRow.style.textAlign = "center";
headerRow.style.width = "100%";
headerRow.style.padding = "0";
grid.appendChild(thead);
grid.appendChild(tbody);
this.grid_rows = {};
if(this.data)
for (var i = 0; i < this.data.length; i++) {
const data = this.data[i];
var dataRow = document.createElement('tr');
var data1 = document.createElement('td');
data1.style.textAlign = "center";
data1.innerHTML = i+1;
var data2 = document.createElement('td');
data2.innerHTML = `&nbsp;${data.type}`;
var data3 = document.createElement('td');
data3.innerHTML = `&nbsp;${data.base}`;
var data4 = document.createElement('td');
data4.className = "cm-node-name";
data4.innerHTML = `&nbsp;<a href=${data.reference} target="_blank"><font color="skyblue"><b>${data.name}</b></font></a>`;
var data5 = document.createElement('td');
data5.className = "cm-node-filename";
data5.innerHTML = `&nbsp;${data.filename}`;
data5.style.wordBreak = "break-all";
var data6 = document.createElement('td');
data6.className = "cm-node-desc";
data6.innerHTML = data.description;
data6.style.wordBreak = "break-all";
var data_install = document.createElement('td');
var installBtn = document.createElement('button');
data_install.style.textAlign = "center";
installBtn.innerHTML = 'Install';
this.install_buttons.push(installBtn);
switch(data.installed) {
case 'True':
installBtn.innerHTML = 'Installed';
installBtn.style.backgroundColor = 'green';
installBtn.style.color = 'white';
installBtn.disabled = true;
break;
default:
installBtn.innerHTML = 'Install';
installBtn.style.backgroundColor = 'black';
installBtn.style.color = 'white';
break;
}
installBtn.style.width = "100px";
installBtn.addEventListener('click', function() {
install_model(data);
});
data_install.appendChild(installBtn);
dataRow.style.backgroundColor = "var(--bg-color)";
dataRow.style.color = "var(--fg-color)";
dataRow.style.textAlign = "left";
dataRow.appendChild(data1);
dataRow.appendChild(data2);
dataRow.appendChild(data3);
dataRow.appendChild(data4);
dataRow.appendChild(data5);
dataRow.appendChild(data6);
dataRow.appendChild(data_install);
tbody.appendChild(dataRow);
this.grid_rows[i] = {data:data, control:dataRow};
}
let self = this;
const panel = document.createElement('div');
panel.style.width = "100%";
panel.appendChild(grid);
function handleResize() {
const parentHeight = self.element.clientHeight;
const gridHeight = parentHeight - 200;
grid.style.height = gridHeight + "px";
}
window.addEventListener("resize", handleResize);
grid.style.position = "relative";
grid.style.display = "inline-block";
grid.style.width = "100%";
grid.style.height = "100%";
grid.style.overflowY = "scroll";
this.element.style.height = "85%";
this.element.style.width = "80%";
this.element.appendChild(panel);
handleResize();
}
createFilterCombo() {
let combo = document.createElement("select");
combo.style.cssFloat = "left";
combo.style.fontSize = "14px";
combo.style.padding = "4px";
combo.style.background = "black";
combo.style.marginLeft = "2px";
combo.style.width = "199px";
combo.id = `combo-manger-filter`;
combo.style.borderRadius = "15px";
let items =
[
{ value:'*', text:'Filter: all' },
{ value:'True', text:'Filter: installed' },
{ value:'False', text:'Filter: not-installed' },
];
items.forEach(item => {
const option = document.createElement("option");
option.value = item.value;
option.text = item.text;
combo.appendChild(option);
});
let self = this;
combo.addEventListener('change', function(event) {
self.filter = event.target.value;
self.apply_searchbox();
});
return combo;
}
createHeaderControls() {
let self = this;
this.search_box = $el('input.cm-search-filter', {type:'text', id:'manager-model-search-box', placeholder:'input search keyword', value:this.search_keyword}, []);
this.search_box.style.height = "25px";
this.search_box.onkeydown = (event) => {
if (event.key === 'Enter') {
self.search_keyword = self.search_box.value;
self.apply_searchbox();
}
if (event.key === 'Escape') {
self.search_keyword = self.search_box.value;
self.apply_searchbox();
}
};
let search_button = document.createElement("button");
search_button.className = "cm-small-button";
search_button.innerHTML = "Search";
search_button.onclick = () => {
self.search_keyword = self.search_box.value;
self.apply_searchbox();
};
search_button.style.display = "inline-block";
let filter_control = this.createFilterCombo();
filter_control.style.display = "inline-block";
let cell = $el('td', {width:'100%'}, [filter_control, this.search_box, ' ', search_button]);
let search_control = $el('table', {width:'100%'},
[
$el('tr', {}, [cell])
]
);
cell.style.textAlign = "right";
this.element.appendChild(search_control);
}
async createBottomControls() {
var close_button = document.createElement("button");
close_button.className = "cm-small-button";
close_button.innerHTML = "Close";
close_button.onclick = () => { this.close(); }
close_button.style.display = "inline-block";
this.message_box = $el('div', {id:'custom-download-message'}, [$el('br'), '']);
this.message_box.style.height = '60px';
this.message_box.style.verticalAlign = 'middle';
this.element.appendChild(this.message_box);
this.element.appendChild(close_button);
}
async show() {
try {
this.invalidateControl();
this.element.style.display = "block";
this.element.style.zIndex = 10001;
}
catch(exception) {
app.ui.dialog.show(`Failed to get external model list. / ${exception}`);
}
}
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/node_fixer.js
-211
View File
@@ -1,211 +0,0 @@
import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js";
let double_click_policy = "copy-all";
api.fetchApi('/manager/dbl_click/policy')
.then(response => response.text())
.then(data => set_double_click_policy(data));
export function set_double_click_policy(mode) {
double_click_policy = mode;
}
function addMenuHandler(nodeType, cb) {
const getOpts = nodeType.prototype.getExtraMenuOptions;
nodeType.prototype.getExtraMenuOptions = function () {
const r = getOpts.apply(this, arguments);
cb.apply(this, arguments);
return r;
};
}
function distance(node1, node2) {
let dx = (node1.pos[0] + node1.size[0]/2) - (node2.pos[0] + node2.size[0]/2);
let dy = (node1.pos[1] + node1.size[1]/2) - (node2.pos[1] + node2.size[1]/2);
return Math.sqrt(dx * dx + dy * dy);
}
function lookup_nearest_nodes(node) {
let nearest_distance = Infinity;
let nearest_node = null;
for(let other of app.graph._nodes) {
if(other === node)
continue;
let dist = distance(node, other);
if (dist < nearest_distance && dist < 1000) {
nearest_distance = dist;
nearest_node = other;
}
}
return nearest_node;
}
function lookup_nearest_inputs(node) {
let input_map = {};
for(let i in node.inputs) {
let input = node.inputs[i];
if(input.link || input_map[input.type])
continue;
input_map[input.type] = {distance: Infinity, input_name: input.name, node: null, slot: null};
}
let x = node.pos[0];
let y = node.pos[1] + node.size[1]/2;
for(let other of app.graph._nodes) {
if(other === node || !other.outputs)
continue;
let dx = x - (other.pos[0] + other.size[0]);
let dy = y - (other.pos[1] + other.size[1]/2);
if(dx < 0)
continue;
let dist = Math.sqrt(dx * dx + dy * dy);
for(let input_type in input_map) {
for(let j in other.outputs) {
let output = other.outputs[j];
if(output.type == input_type) {
if(input_map[input_type].distance > dist) {
input_map[input_type].distance = dist;
input_map[input_type].node = other;
input_map[input_type].slot = parseInt(j);
}
}
}
}
}
let res = {};
for (let i in input_map) {
if (input_map[i].node) {
res[i] = input_map[i];
}
}
return res;
}
function connect_inputs(nearest_inputs, node) {
for(let i in nearest_inputs) {
let info = nearest_inputs[i];
info.node.connect(info.slot, node.id, info.input_name);
}
}
function node_info_copy(src, dest, connect_both) {
// copy input connections
for(let i in src.inputs) {
let input = src.inputs[i];
if(input.link) {
let link = app.graph.links[input.link];
let src_node = app.graph.getNodeById(link.origin_id);
src_node.connect(link.origin_slot, dest.id, input.name);
}
}
// copy output connections
if(connect_both) {
let output_links = {};
for(let i in src.outputs) {
let output = src.outputs[i];
if(output.links) {
let links = [];
for(let j in output.links) {
links.push(app.graph.links[output.links[j]]);
}
output_links[output.name] = links;
}
}
for(let i in dest.outputs) {
let links = output_links[dest.outputs[i].name];
if(links) {
for(let j in links) {
let link = links[j];
let target_node = app.graph.getNodeById(link.target_id);
dest.connect(parseInt(i), target_node, link.target_slot);
}
}
}
}
app.graph.afterChange();
}
app.registerExtension({
name: "Comfy.Manager.NodeFixer",
async nodeCreated(node, app) {
let orig_dblClick = node.onDblClick;
node.onDblClick = function (e, pos, self) {
orig_dblClick?.apply?.(this, arguments);
if((!node.inputs && !node.outputs) || pos[1] > 0)
return;
switch(double_click_policy) {
case "copy-all":
case "copy-input":
{
if(node.inputs?.some(x => x.link != null) || node.outputs?.some(x => x.links != null && x.links.length > 0) )
return;
let src_node = lookup_nearest_nodes(node);
if(src_node)
node_info_copy(src_node, node, double_click_policy == "copy-all");
}
break;
case "possible-input":
{
let nearest_inputs = lookup_nearest_inputs(node);
if(nearest_inputs)
connect_inputs(nearest_inputs, node);
}
break;
case "dual":
{
if(pos[0] < node.size[0]/2) {
// left: possible-input
let nearest_inputs = lookup_nearest_inputs(node);
if(nearest_inputs)
connect_inputs(nearest_inputs, node);
}
else {
// right: copy-all
if(node.inputs?.some(x => x.link != null) || node.outputs?.some(x => x.links != null && x.links.length > 0) )
return;
let src_node = lookup_nearest_nodes(node);
if(src_node)
node_info_copy(src_node, node, true);
}
}
break;
}
}
},
beforeRegisterNodeDef(nodeType, nodeData, app) {
addMenuHandler(nodeType, function (_, options) {
options.push({
content: "Fix node (recreate)",
callback: () => {
let new_node = LiteGraph.createNode(nodeType.comfyClass);
new_node.pos = [this.pos[0], this.pos[1]];
app.canvas.graph.add(new_node, false);
node_info_copy(this, new_node);
app.canvas.graph.remove(this);
},
});
});
}
});
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/snapshot.js
-292
View File
@@ -1,292 +0,0 @@
import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js"
import { ComfyDialog, $el } from "../../scripts/ui.js";
import { manager_instance, rebootAPI } from "./common.js";
async function restore_snapshot(target) {
if(SnapshotManager.instance) {
try {
const response = await api.fetchApi(`/snapshot/restore?target=${target}`, { cache: "no-store" });
if(response.status == 400) {
app.ui.dialog.show(`Restore snapshot failed: ${target.title} / ${exception}`);
app.ui.dialog.element.style.zIndex = 10010;
}
app.ui.dialog.close();
return true;
}
catch(exception) {
app.ui.dialog.show(`Restore snapshot failed: ${target.title} / ${exception}`);
app.ui.dialog.element.style.zIndex = 10010;
return false;
}
finally {
await SnapshotManager.instance.invalidateControl();
SnapshotManager.instance.updateMessage("<BR>To apply the snapshot, please <button id='cm-reboot-button' class='cm-small-button'>RESTART</button> ComfyUI. And refresh browser.", 'cm-reboot-button');
}
}
}
async function remove_snapshot(target) {
if(SnapshotManager.instance) {
try {
const response = await api.fetchApi(`/snapshot/remove?target=${target}`, { cache: "no-store" });
if(response.status == 400) {
app.ui.dialog.show(`Remove snapshot failed: ${target.title} / ${exception}`);
app.ui.dialog.element.style.zIndex = 10010;
}
app.ui.dialog.close();
return true;
}
catch(exception) {
app.ui.dialog.show(`Restore snapshot failed: ${target.title} / ${exception}`);
app.ui.dialog.element.style.zIndex = 10010;
return false;
}
finally {
await SnapshotManager.instance.invalidateControl();
}
}
}
async function save_current_snapshot() {
try {
const response = await api.fetchApi('/snapshot/save', { cache: "no-store" });
app.ui.dialog.close();
return true;
}
catch(exception) {
app.ui.dialog.show(`Backup snapshot failed: ${exception}`);
app.ui.dialog.element.style.zIndex = 10010;
return false;
}
finally {
await SnapshotManager.instance.invalidateControl();
SnapshotManager.instance.updateMessage("<BR>Current snapshot saved.");
}
}
async function getSnapshotList() {
const response = await api.fetchApi(`/snapshot/getlist`);
const data = await response.json();
return data;
}
export class SnapshotManager extends ComfyDialog {
static instance = null;
restore_buttons = [];
message_box = null;
data = null;
clear() {
this.restore_buttons = [];
this.message_box = null;
this.data = null;
}
constructor(app, manager_dialog) {
super();
this.manager_dialog = manager_dialog;
this.search_keyword = '';
this.element = $el("div.comfy-modal", { parent: document.body }, []);
}
async remove_item() {
caller.disableButtons();
await caller.invalidateControl();
}
createControls() {
return [
$el("button.cm-small-button", {
type: "button",
textContent: "Close",
onclick: () => { this.close(); }
})
];
}
startRestore(target) {
const self = SnapshotManager.instance;
self.updateMessage(`<BR><font color="green">Restore snapshot '${target.name}'</font>`);
for(let i in self.restore_buttons) {
self.restore_buttons[i].disabled = true;
self.restore_buttons[i].style.backgroundColor = 'gray';
}
}
async invalidateControl() {
this.clear();
this.data = (await getSnapshotList()).items;
while (this.element.children.length) {
this.element.removeChild(this.element.children[0]);
}
await this.createGrid();
await this.createBottomControls();
}
updateMessage(msg, btn_id) {
this.message_box.innerHTML = msg;
if(btn_id) {
const rebootButton = document.getElementById(btn_id);
const self = this;
rebootButton.onclick = function() {
if(rebootAPI()) {
self.close();
self.manager_dialog.close();
}
};
}
}
async createGrid(models_json) {
var grid = document.createElement('table');
grid.setAttribute('id', 'snapshot-list-grid');
var thead = document.createElement('thead');
var tbody = document.createElement('tbody');
var headerRow = document.createElement('tr');
thead.style.position = "sticky";
thead.style.top = "0px";
thead.style.borderCollapse = "collapse";
thead.style.tableLayout = "fixed";
var header1 = document.createElement('th');
header1.innerHTML = '&nbsp;&nbsp;ID&nbsp;&nbsp;';
header1.style.width = "20px";
var header2 = document.createElement('th');
header2.innerHTML = 'Datetime';
header2.style.width = "100%";
var header_button = document.createElement('th');
header_button.innerHTML = 'Action';
header_button.style.width = "100px";
thead.appendChild(headerRow);
headerRow.appendChild(header1);
headerRow.appendChild(header2);
headerRow.appendChild(header_button);
headerRow.style.backgroundColor = "Black";
headerRow.style.color = "White";
headerRow.style.textAlign = "center";
headerRow.style.width = "100%";
headerRow.style.padding = "0";
grid.appendChild(thead);
grid.appendChild(tbody);
this.grid_rows = {};
if(this.data)
for (var i = 0; i < this.data.length; i++) {
const data = this.data[i];
var dataRow = document.createElement('tr');
var data1 = document.createElement('td');
data1.style.textAlign = "center";
data1.innerHTML = i+1;
var data2 = document.createElement('td');
data2.innerHTML = `&nbsp;${data}`;
var data_button = document.createElement('td');
data_button.style.textAlign = "center";
var restoreBtn = document.createElement('button');
restoreBtn.innerHTML = 'Restore';
restoreBtn.style.width = "100px";
restoreBtn.style.backgroundColor = 'blue';
restoreBtn.addEventListener('click', function() {
restore_snapshot(data);
});
var removeBtn = document.createElement('button');
removeBtn.innerHTML = 'Remove';
removeBtn.style.width = "100px";
removeBtn.style.backgroundColor = 'red';
removeBtn.addEventListener('click', function() {
remove_snapshot(data);
});
data_button.appendChild(restoreBtn);
data_button.appendChild(removeBtn);
dataRow.style.backgroundColor = "var(--bg-color)";
dataRow.style.color = "var(--fg-color)";
dataRow.style.textAlign = "left";
dataRow.appendChild(data1);
dataRow.appendChild(data2);
dataRow.appendChild(data_button);
tbody.appendChild(dataRow);
this.grid_rows[i] = {data:data, control:dataRow};
}
let self = this;
const panel = document.createElement('div');
panel.style.width = "100%";
panel.appendChild(grid);
function handleResize() {
const parentHeight = self.element.clientHeight;
const gridHeight = parentHeight - 200;
grid.style.height = gridHeight + "px";
}
window.addEventListener("resize", handleResize);
grid.style.position = "relative";
grid.style.display = "inline-block";
grid.style.width = "100%";
grid.style.height = "100%";
grid.style.overflowY = "scroll";
this.element.style.height = "85%";
this.element.style.width = "80%";
this.element.appendChild(panel);
handleResize();
}
async createBottomControls() {
var close_button = document.createElement("button");
close_button.className = "cm-small-button";
close_button.innerHTML = "Close";
close_button.onclick = () => { this.close(); }
close_button.style.display = "inline-block";
var save_button = document.createElement("button");
save_button.className = "cm-small-button";
save_button.innerHTML = "Save snapshot";
save_button.onclick = () => { save_current_snapshot(); }
save_button.style.display = "inline-block";
save_button.style.horizontalAlign = "right";
this.message_box = $el('div', {id:'custom-download-message'}, [$el('br'), '']);
this.message_box.style.height = '60px';
this.message_box.style.verticalAlign = 'middle';
this.element.appendChild(this.message_box);
this.element.appendChild(close_button);
this.element.appendChild(save_button);
}
async show() {
try {
this.invalidateControl();
this.element.style.display = "block";
this.element.style.zIndex = 10001;
}
catch(exception) {
app.ui.dialog.show(`Failed to get external model list. / ${exception}`);
}
}
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/js/terminal.js
-81
View File
@@ -1,81 +0,0 @@
import {app} from "../../scripts/app.js";
import {ComfyWidgets} from "../../scripts/widgets.js";
// Node that add notes to your project
let terminal_node;
let log_mode = false;
app.registerExtension({
name: "Comfy.Manager.Terminal",
registerCustomNodes() {
class TerminalNode {
color = "#222222";
bgcolor = "#000000";
groupcolor = LGraphCanvas.node_colors.black.groupcolor;
constructor() {
this.logs = [];
if (!this.properties) {
this.properties = {};
this.properties.text="";
}
ComfyWidgets.STRING(this, "", ["", {default:this.properties.text, multiline: true}], app)
ComfyWidgets.BOOLEAN(this, "mode", ["", {default:true, label_on:'Logging', label_off:'Stop'}], app)
ComfyWidgets.INT(this, "lines", ["", {default:500, min:10, max:10000, steps:1}], app)
let self = this;
Object.defineProperty(this.widgets[1], 'value', {
set: (v) => {
api.fetchApi(`/manager/terminal?mode=${v}`, {});
log_mode = v;
},
get: () => {
return log_mode;
}
});
this.serialize_widgets = false;
this.isVirtualNode = true;
if(terminal_node) {
try {
terminal_node.widgets[0].value = 'The output of this node is disabled because another terminal node has appeared.';
}
catch {}
}
terminal_node = this;
}
}
// Load default visibility
LiteGraph.registerNodeType(
"Terminal Log //CM",
Object.assign(TerminalNode, {
title_mode: LiteGraph.NORMAL_TITLE,
title: "Terminal Log (Manager)",
collapsable: true,
})
);
TerminalNode.category = "utils";
},
});
import { api } from "../../scripts/api.js";
function terminalFeedback(event) {
if(terminal_node) {
terminal_node.logs.push(event.detail.data);
if(terminal_node.logs.length > terminal_node.widgets[2].value) {
terminal_node.logs.shift();
if(terminal_node.logs[0] == '' || terminal_node.logs[0] == '\n')
terminal_node.logs.shift();
}
terminal_node.widgets[0].value = [...terminal_node.logs].reverse().join('').trim();
}
}
api.addEventListener("manager-terminal-feedback", terminalFeedback);
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/json-checker.py
-23
View File
@@ -1,23 +0,0 @@
import json
import argparse
def check_json_syntax(file_path):
try:
with open(file_path, 'r') as file:
json_str = file.read()
json.loads(json_str)
print(f"[ OK ] {file_path}")
except json.JSONDecodeError as e:
print(f"[FAIL] {file_path}\n\n {e}\n")
except FileNotFoundError:
print(f"[FAIL] {file_path}\n\n File not found\n")
def main():
parser = argparse.ArgumentParser(description="JSON File Syntax Checker")
parser.add_argument("file_path", type=str, help="Path to the JSON file for syntax checking")
args = parser.parse_args()
check_json_syntax(args.file_path)
if __name__ == "__main__":
main()
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/misc/Impact.pack
-444
View File
@@ -1,444 +0,0 @@
{
"Impact::MAKE_BASIC_PIPE": {
"category": "",
"config": {
"1": {
"input": {
"text": {
"name": "Positive prompt"
}
}
},
"2": {
"input": {
"text": {
"name": "Negative prompt"
}
}
}
},
"datetime": 1705418802481,
"external": [],
"links": [
[
0,
1,
1,
0,
1,
"CLIP"
],
[
0,
1,
2,
0,
1,
"CLIP"
],
[
0,
0,
3,
0,
1,
"MODEL"
],
[
0,
1,
3,
1,
1,
"CLIP"
],
[
0,
2,
3,
2,
1,
"VAE"
],
[
1,
0,
3,
3,
3,
"CONDITIONING"
],
[
2,
0,
3,
4,
4,
"CONDITIONING"
]
],
"nodes": [
{
"flags": {},
"index": 0,
"mode": 0,
"order": 0,
"outputs": [
{
"links": [],
"name": "MODEL",
"shape": 3,
"slot_index": 0,
"type": "MODEL"
},
{
"links": [],
"name": "CLIP",
"shape": 3,
"slot_index": 1,
"type": "CLIP"
},
{
"links": [],
"name": "VAE",
"shape": 3,
"slot_index": 2,
"type": "VAE"
}
],
"pos": [
550,
360
],
"properties": {
"Node name for S&R": "CheckpointLoaderSimple"
},
"size": {
"0": 315,
"1": 98
},
"type": "CheckpointLoaderSimple",
"widgets_values": [
"SDXL/sd_xl_base_1.0_0.9vae.safetensors"
]
},
{
"flags": {},
"index": 1,
"inputs": [
{
"link": null,
"name": "clip",
"type": "CLIP"
}
],
"mode": 0,
"order": 1,
"outputs": [
{
"links": [],
"name": "CONDITIONING",
"shape": 3,
"slot_index": 0,
"type": "CONDITIONING"
}
],
"pos": [
940,
480
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"size": {
"0": 263,
"1": 99
},
"title": "Positive",
"type": "CLIPTextEncode",
"widgets_values": [
""
]
},
{
"flags": {},
"index": 2,
"inputs": [
{
"link": null,
"name": "clip",
"type": "CLIP"
}
],
"mode": 0,
"order": 2,
"outputs": [
{
"links": [],
"name": "CONDITIONING",
"shape": 3,
"slot_index": 0,
"type": "CONDITIONING"
}
],
"pos": [
940,
640
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"size": {
"0": 263,
"1": 99
},
"title": "Negative",
"type": "CLIPTextEncode",
"widgets_values": [
""
]
},
{
"flags": {},
"index": 3,
"inputs": [
{
"link": null,
"name": "model",
"type": "MODEL"
},
{
"link": null,
"name": "clip",
"type": "CLIP"
},
{
"link": null,
"name": "vae",
"type": "VAE"
},
{
"link": null,
"name": "positive",
"type": "CONDITIONING"
},
{
"link": null,
"name": "negative",
"type": "CONDITIONING"
}
],
"mode": 0,
"order": 3,
"outputs": [
{
"links": null,
"name": "basic_pipe",
"shape": 3,
"slot_index": 0,
"type": "BASIC_PIPE"
}
],
"pos": [
1320,
360
],
"properties": {
"Node name for S&R": "ToBasicPipe"
},
"size": {
"0": 241.79998779296875,
"1": 106
},
"type": "ToBasicPipe"
}
],
"packname": "Impact",
"version": "1.0"
},
"Impact::SIMPLE_DETAILER_PIPE": {
"category": "",
"config": {
"0": {
"output": {
"0": {
"visible": false
},
"1": {
"visible": false
}
}
},
"2": {
"input": {
"Select to add LoRA": {
"visible": false
},
"Select to add Wildcard": {
"visible": false
},
"wildcard": {
"visible": false
}
}
}
},
"datetime": 1705419147116,
"external": [],
"links": [
[
null,
0,
2,
0,
6,
"BASIC_PIPE"
],
[
0,
0,
2,
1,
13,
"BBOX_DETECTOR"
],
[
1,
0,
2,
2,
15,
"SAM_MODEL"
]
],
"nodes": [
{
"flags": {},
"index": 0,
"mode": 0,
"order": 2,
"outputs": [
{
"links": [],
"name": "BBOX_DETECTOR",
"shape": 3,
"type": "BBOX_DETECTOR"
},
{
"links": null,
"name": "SEGM_DETECTOR",
"shape": 3,
"type": "SEGM_DETECTOR"
}
],
"pos": [
590,
830
],
"properties": {
"Node name for S&R": "UltralyticsDetectorProvider"
},
"size": {
"0": 315,
"1": 78
},
"type": "UltralyticsDetectorProvider",
"widgets_values": [
"bbox/Eyeful_v1.pt"
]
},
{
"flags": {},
"index": 1,
"mode": 0,
"order": 3,
"outputs": [
{
"links": [],
"name": "SAM_MODEL",
"shape": 3,
"type": "SAM_MODEL"
}
],
"pos": [
590,
960
],
"properties": {
"Node name for S&R": "SAMLoader"
},
"size": {
"0": 315,
"1": 82
},
"type": "SAMLoader",
"widgets_values": [
"sam_vit_b_01ec64.pth",
"AUTO"
]
},
{
"flags": {},
"index": 2,
"inputs": [
{
"link": null,
"name": "basic_pipe",
"type": "BASIC_PIPE"
},
{
"link": null,
"name": "bbox_detector",
"slot_index": 1,
"type": "BBOX_DETECTOR"
},
{
"link": null,
"name": "sam_model_opt",
"slot_index": 2,
"type": "SAM_MODEL"
},
{
"link": null,
"name": "segm_detector_opt",
"type": "SEGM_DETECTOR"
},
{
"link": null,
"name": "detailer_hook",
"type": "DETAILER_HOOK"
}
],
"mode": 0,
"order": 5,
"outputs": [
{
"links": null,
"name": "detailer_pipe",
"shape": 3,
"type": "DETAILER_PIPE"
}
],
"pos": [
1044,
812
],
"properties": {
"Node name for S&R": "BasicPipeToDetailerPipe"
},
"size": {
"0": 400,
"1": 204
},
"type": "BasicPipeToDetailerPipe",
"widgets_values": [
"",
"Select the LoRA to add to the text",
"Select the Wildcard to add to the text"
]
}
],
"packname": "Impact",
"version": "1.0"
}
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/misc/custom-nodes.jpg
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/misc/portable-install.png
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/model-list.json
-2094
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/custom-node-list.json
-523
View File
@@ -1,523 +0,0 @@
{
"custom_nodes": [
{
"author": "#NOTICE_1.13",
"title": "NOTICE: This channel is not the default channel.",
"reference": "https://github.com/ltdrdata/ComfyUI-Manager",
"files": [],
"install_type": "git-clone",
"description": "If you see this message, your ComfyUI-Manager is outdated.\nDev channel provides only the list of the developing nodes. If you want to find the complete node list, please go to the Default channel."
},
{
"author": "gameltb",
"title": "ComfyUI paper playground",
"reference": "https://github.com/gameltb/ComfyUI_paper_playground",
"files": [
"https://github.com/gameltb/ComfyUI_paper_playground"
],
"install_type": "git-clone",
"description": "Evaluate some papers in ComfyUI, just playground.\nNOTE: Various models need to be installed, so please visit the repository to check."
},
{
"author": "huizhang0110",
"title": "ComfyUI_Easy_Nodes_hui",
"reference": "https://github.com/huizhang0110/ComfyUI_Easy_Nodes_hui",
"files": [
"https://github.com/huizhang0110/ComfyUI_Easy_Nodes_hui"
],
"install_type": "git-clone",
"description": "Nodes:EasyEmptyLatentImage"
},
{
"author": "tuckerdarby",
"title": "ComfyUI-TDNodes [WIP]",
"reference": "https://github.com/tuckerdarby/ComfyUI-TDNodes",
"files": [
"https://github.com/tuckerdarby/ComfyUI-TDNodes"
],
"install_type": "git-clone",
"description": "Nodes:KSampler (RAVE), KSampler (TF), Object Tracker, KSampler Batched, Video Tracker Prompt, TemporalNet Preprocessor, Instance Tracker Prompt, Instance Diffusion Loader, Hand Tracker Node"
},
{
"author": "shadowcz007",
"title": "comfyui-musicgen",
"reference": "https://github.com/shadowcz007/comfyui-musicgen",
"files": [
"https://github.com/shadowcz007/comfyui-musicgen"
],
"install_type": "git-clone",
"description": "Nodes:Musicgen"
},
{
"author": "Extraltodeus",
"title": "ComfyUI-variableCFGandAntiBurn [WIP]",
"reference": "https://github.com/Extraltodeus/ComfyUI-variableCFGandAntiBurn",
"files": [
"https://github.com/Extraltodeus/ComfyUI-variableCFGandAntiBurn"
],
"install_type": "git-clone",
"description": "Nodes:Continuous CFG rescaler (pre CFG), Intermediary latent merge (post CFG), Intensity/Brightness limiter (post CFG), Dynamic renoising (post CFG), Automatic CFG scale (pre/post CFG), CFG multiplier per channel (pre CFG), Self-Attention Guidance delayed activation mod (post CFG)"
},
{
"author": "shadowcz007",
"title": "comfyui-CLIPSeg",
"reference": "https://github.com/shadowcz007/comfyui-CLIPSeg",
"files": [
"https://github.com/shadowcz007/comfyui-CLIPSeg"
],
"install_type": "git-clone",
"description": "Download [a/CLIPSeg](https://huggingface.co/CIDAS/clipseg-rd64-refined/tree/main), move to : models/clipseg"
},
{
"author": "dezi-ai",
"title": "ComfyUI Animate LCM",
"reference": "https://github.com/dezi-ai/ComfyUI-AnimateLCM",
"files": [
"https://github.com/dezi-ai/ComfyUI-AnimateLCM"
],
"install_type": "git-clone",
"description": "ComfyUI implementation for [a/AnimateLCM](https://animatelcm.github.io/) [[a/paper](https://arxiv.org/abs/2402.00769)].\b[w/This extension includes a large number of nodes imported from the existing custom nodes, increasing the likelihood of conflicts.]"
},
{
"author": "ZHO-ZHO-ZHO",
"title": "ComfyUI-BRIA_AI-RMBG",
"reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG",
"files": [
"https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG"
],
"install_type": "git-clone",
"description": "Unofficial [a/BRIA Background Removal v1.4](https://huggingface.co/briaai/RMBG-1.4) of BRIA RMBG Model for ComfyUI"
},
{
"author": "stutya",
"title": "ComfyUI-Terminal [UNSAFE]",
"reference": "https://github.com/stutya/ComfyUI-Terminal",
"files": [
"https://github.com/stutya/ComfyUI-Terminal"
],
"install_type": "git-clone",
"description": "Run Terminal Commands from ComfyUI.\n[w/This extension poses a risk of executing arbitrary commands through workflow execution. Please be cautious.]"
},
{
"author": "marcueberall",
"title": "ComfyUI-BuildPath",
"reference": "https://github.com/marcueberall/ComfyUI-BuildPath",
"files": [
"https://github.com/marcueberall/ComfyUI-BuildPath"
],
"install_type": "git-clone",
"description": "Nodes: Build Path Adv."
},
{
"author": "LotzF",
"title": "ComfyUI simple ChatGPT completion [UNSAFE]",
"reference": "https://github.com/LotzF/ComfyUI-Simple-Chat-GPT-completion",
"files": [
"https://github.com/LotzF/ComfyUI-Simple-Chat-GPT-completion"
],
"install_type": "git-clone",
"description": "A simple node to request ChatGPT completions. [w/Do not share your workflows including the API key! I'll take no responsibility for your leaked keys.]"
},
{
"author": "kappa54m",
"title": "ComfyUI_Usability (WIP)",
"reference": "https://github.com/kappa54m/ComfyUI_Usability",
"files": [
"https://github.com/kappa54m/ComfyUI_Usability"
],
"install_type": "git-clone",
"description": "Nodes: Load Image Dedup, Load Image By Path."
},
{
"author": "17Retoucher",
"title": "ComfyUI_Fooocus",
"reference": "https://github.com/17Retoucher/ComfyUI_Fooocus",
"files": [
"https://github.com/17Retoucher/ComfyUI_Fooocus"
],
"install_type": "git-clone",
"description": "Custom nodes that help reproduce image generation in Fooocus."
},
{
"author": "nkchocoai",
"title": "ComfyUI-PromptUtilities",
"reference": "https://github.com/nkchocoai/ComfyUI-PromptUtilities",
"files": [
"https://github.com/nkchocoai/ComfyUI-PromptUtilities"
],
"install_type": "git-clone",
"description": "Nodes: Format String, Join String List, Load Preset, Load Preset (Advanced), Const String, Const String (multi line). Add useful nodes related to prompt."
},
{
"author": "BadCafeCode",
"title": "execution-inversion-demo-comfyui",
"reference": "https://github.com/BadCafeCode/execution-inversion-demo-comfyui",
"files": [
"https://github.com/BadCafeCode/execution-inversion-demo-comfyui"
],
"install_type": "git-clone",
"description": "execution-inversion-demo-comfyui"
},
{
"author": "unanan",
"title": "ComfyUI-clip-interrogator [WIP]",
"reference": "https://github.com/unanan/ComfyUI-clip-interrogator",
"files": [
"https://github.com/unanan/ComfyUI-clip-interrogator"
],
"install_type": "git-clone",
"description": "Unofficial ComfyUI extension of clip-interrogator"
},
{
"author": "prismwastaken",
"title": "prism-tools",
"reference": "https://github.com/prismwastaken/comfyui-tools",
"files": [
"https://github.com/prismwastaken/comfyui-tools"
],
"install_type": "git-clone",
"description": "prism-tools"
},
{
"author": "poisenbery",
"title": "NudeNet-Detector-Provider [WIP]",
"reference": "https://github.com/poisenbery/NudeNet-Detector-Provider",
"files": [
"https://github.com/poisenbery/NudeNet-Detector-Provider"
],
"install_type": "git-clone",
"description": "BBOX Detector Provider for NudeNet. Bethesda version of NudeNet V3 detector provider to work with Impact Pack ComfyUI."
},
{
"author": "LarryJane491",
"title": "ComfyUI-ModelUnloader",
"reference": "https://github.com/LarryJane491/ComfyUI-ModelUnloader",
"files": [
"https://github.com/LarryJane491/ComfyUI-ModelUnloader"
],
"install_type": "git-clone",
"description": "A simple custom node that unloads all models. Useful for developers or users who want to free some memory."
},
{
"author": "AIGODLIKE",
"title": "AIGODLIKE/ComfyUI-Model-Manager [WIP]",
"reference": "https://github.com/AIGODLIKE/ComfyUI-Studio",
"files": [
"https://github.com/AIGODLIKE/ComfyUI-Studio"
],
"install_type": "git-clone",
"description": "WIP"
},
{
"author": "MrAdamBlack",
"title": "CheckProgress [WIP]",
"reference": "https://github.com/MrAdamBlack/CheckProgress",
"files": [
"https://github.com/MrAdamBlack/CheckProgress"
],
"install_type": "git-clone",
"description": "I was looking for a node to put in place to ensure my prompt etc where going as expected before the rest of the flow executed. To end the session, I just return the input image as None (see expected error). Recommend using it alongside PreviewImage, then output to the rest of the flow and Save Image."
},
{
"author": "11cafe",
"title": "11cafe/ComfyUI Model Manager [WIP]",
"reference": "https://github.com/11cafe/model-manager-comfyui",
"files": [
"https://github.com/11cafe/model-manager-comfyui"
],
"install_type": "git-clone",
"description": "This answers the itch for being able to easily paste [a/CivitAI.com](CivitAI.com) generated data (or other simple metadata) into Comfy in a way that makes it easy to test with multiple checkpoints."
},
{
"author": "birnam",
"title": "Gen Data Tester [WIP]",
"reference": "https://github.com/birnam/ComfyUI-GenData-Pack",
"files": [
"https://github.com/birnam/ComfyUI-GenData-Pack"
],
"install_type": "git-clone",
"description": "This answers the itch for being able to easily paste [a/CivitAI.com](CivitAI.com) generated data (or other simple metadata) into Comfy in a way that makes it easy to test with multiple checkpoints."
},
{
"author": "ZHO-ZHO-ZHO",
"title": "ComfyUI-AnyText（WIP）",
"reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-AnyText",
"files": [
"https://github.com/ZHO-ZHO-ZHO/ComfyUI-AnyText"
],
"install_type": "git-clone",
"description": "Unofficial implementation of [a/AnyText](https://github.com/tyxsspa/AnyText/tree/825bcc54687206b15bd7e28ba1a8b095989d58e3) for ComfyUI（EXP）"
},
{
"author": "nidefawl",
"title": "ComfyUI-nidefawl [UNSAFE]",
"reference": "https://github.com/nidefawl/ComfyUI-nidefawl",
"files": [
"https://github.com/nidefawl/ComfyUI-nidefawl"
],
"install_type": "git-clone",
"description": "Nodes:PythonScript, BlendImagesWithBoundedMasks, CropImagesWithMasks, VAELoaderDataType, ModelSamplerTonemapNoiseTest, gcLatentTunnel, ReferenceOnlySimple, EmptyImageWithColor, MaskFromColor, SetLatentCustomNoise, LatentToImage, ImageToLatent, LatentScaledNoise, DisplayAnyType, SamplerCustomCallback, CustomCallback, SplitCustomSigmas, SamplerDPMPP_2M_SDE_nidefawl, LatentPerlinNoise.<BR>[w/This node is an unsafe node that includes the capability to execute arbitrary python script.]"
},
{
"author": "kadirnar",
"title": "comfyui_helpers",
"reference": "https://github.com/kadirnar/comfyui_helpers",
"files": [
"https://github.com/kadirnar/comfyui_helpers"
],
"install_type": "git-clone",
"description": "A collection of nodes randomly selected and gathered, related to noise. NOTE: SD-Advanced-Noise, noise_latent_perlinpinpin, comfy-plasma"
},
{
"author": "foglerek",
"title": "comfyui-cem-tools",
"reference": "https://github.com/foglerek/comfyui-cem-tools",
"files": [
"https://github.com/foglerek/comfyui-cem-tools"
],
"install_type": "git-clone",
"description": "Nodes:ProcessImageBatch"
},
{
"author": "komojini",
"title": "ComfyUI_Prompt_Template_CustomNodes",
"reference": "https://github.com/komojini/ComfyUI_Prompt_Template_CustomNodes",
"files": [
"https://github.com/komojini/ComfyUI_Prompt_Template_CustomNodes/raw/main/prompt_with_template.py"
],
"install_type": "copy",
"description": "Nodes:Prompt with Template"
},
{
"author": "talesofai",
"title": "comfyui-supersave [WIP]",
"reference": "https://github.com/talesofai/comfyui-supersave",
"files": [
"https://github.com/talesofai/comfyui-supersave"
],
"install_type": "git-clone",
"description": "WIP"
},
{
"author": "Sai-ComfyUI",
"title": "ComfyUI-MS-Nodes [WIP]",
"reference": "https://github.com/Sai-ComfyUI/ComfyUI-MS-Nodes",
"files": [
"https://github.com/Sai-ComfyUI/ComfyUI-MS-Nodes"
],
"install_type": "git-clone",
"description": "WIP"
},
{
"author": "eigenpunk",
"title": "ComfyUI-audio",
"reference": "https://github.com/eigenpunk/ComfyUI-audio",
"files": [
"https://github.com/eigenpunk/ComfyUI-audio"
],
"install_type": "git-clone",
"description": "generative audio tools for ComfyUI. highly experimental-expect things to break."
},
{
"author": "Jaxkr",
"title": "comfyui-terminal-command [UNSAFE]",
"reference": "https://github.com/Jaxkr/comfyui-terminal-command",
"files": [
"https://github.com/Jaxkr/comfyui-terminal-command"
],
"install_type": "git-clone",
"description": "Nodes: Run Terminal Command. [w/This node is an unsafe node that includes the capability to execute terminal commands.]"
},
{
"author": "BlueDangerX",
"title": "ComfyUI-BDXNodes [WIP]",
"reference": "https://github.com/BlueDangerX/ComfyUI-BDXNodes",
"files": [
"https://github.com/BlueDangerX/ComfyUI-BDXNodes"
],
"install_type": "git-clone",
"description": "Nodes: Node Jumper. Various quality of life testing nodes"
},
{
"author": "ilovejohnwhite",
"title": "TatToolkit",
"reference": "https://github.com/ilovejohnwhite/UncleBillyGoncho",
"files": [
"https://github.com/ilovejohnwhite/UncleBillyGoncho"
],
"install_type": "git-clone",
"description": "Nodes:UWU TTK Preprocessor, Pixel Perfect Resolution, Generation Resolution From Image, Generation Resolution From Latent, Enchance And Resize Hint Images, ..."
},
{
"author": "IvanZhd",
"title": "comfyui-codeformer [WIP]",
"reference": "https://github.com/IvanZhd/comfyui-codeformer",
"files": [
"https://github.com/IvanZhd/comfyui-codeformer"
],
"install_type": "git-clone",
"description": "Nodes:Image Inverter"
},
{
"author": "alt-key-project",
"title": "Dream Project Video Batches [WIP]",
"reference": "https://github.com/alt-key-project/comfyui-dream-video-batches",
"files": [
"https://github.com/alt-key-project/comfyui-dream-video-batches"
],
"install_type": "git-clone",
"description": "NOTE: This is currently work in progress. Expect nodes to break (or be broken) until 1.0 release."
},
{
"author": "oyvindg",
"title": "ComfyUI-TrollSuite",
"reference": "https://github.com/oyvindg/ComfyUI-TrollSuite",
"files": [
"https://github.com/oyvindg/ComfyUI-TrollSuite"
],
"install_type": "git-clone",
"description": "Nodes: BinaryImageMask, ImagePadding, LoadLastCreatedImage, RandomMask, TransparentImage."
},
{
"author": "romeobuilderotti",
"title": "ComfyUI-EZ-Pipes",
"reference": "https://github.com/romeobuilderotti/ComfyUI-EZ-Pipes",
"files": [
"https://github.com/romeobuilderotti/ComfyUI-EZ-Pipes"
],
"install_type": "git-clone",
"description": "ComfyUI-EZ-Pipes is a set of custom pipe nodes for ComfyUI. It provides a set of Input/Edit/Output nodes for each pipe type."
},
{
"author": "wormley",
"title": "comfyui-wormley-nodes",
"reference": "https://github.com/wormley/comfyui-wormley-nodes",
"files": [
"https://github.com/wormley/comfyui-wormley-nodes"
],
"install_type": "git-clone",
"description": "Nodes: CheckpointVAELoaderSimpleText, CheckpointVAESelectorText, LoRA_Tag_To_Stack"
},
{
"author": "dnl13",
"title": "ComfyUI-dnl13-seg",
"reference": "https://github.com/dnl13/ComfyUI-dnl13-seg",
"files": [
"https://github.com/dnl13/ComfyUI-dnl13-seg"
],
"install_type": "git-clone",
"description": "After discovering @storyicon implementation here of Segment Anything, I realized its potential as a powerful tool for ComfyUI if implemented correctly. I delved into the SAM and Dino models. The following is my own adaptation of sam_hq for ComfyUI."
},
{
"author": "phineas-pta",
"title": "comfy-trt-test [WIP]",
"reference": "https://github.com/phineas-pta/comfy-trt-test",
"files": [
"https://github.com/phineas-pta/comfy-trt-test"
],
"install_type": "git-clone",
"description": "Test project for ComfyUI TensorRT Support.\nNOT WORKING YET.\nnot automatic yet, do not use ComfyUI-Manager to install !!!.\nnot beginner-friendly yet, still intended to technical users\nNOTE: The reason for registration in the Manager is for guidance, and for detailed installation instructions, please visit the repository."
},
{
"author": "Brandelan",
"title": "ComfyUI_bd_customNodes",
"reference": "https://github.com/Brandelan/ComfyUI_bd_customNodes",
"files": [
"https://github.com/Brandelan/ComfyUI_bd_customNodes"
],
"install_type": "git-clone",
"description": "Nodes: BD Random Range, BD Settings, BD Sequencer."
},
{
"author": "Jordach",
"title": "comfy-consistency-vae",
"reference": "https://github.com/Jordach/comfy-consistency-vae",
"files": [
"https://github.com/Jordach/comfy-consistency-vae"
],
"install_type": "git-clone",
"description": "Nodes: Comfy_ConsistencyVAE"
},
{
"author": "gameltb",
"title": "ComfyUI_stable_fast",
"reference": "https://github.com/gameltb/ComfyUI_stable_fast",
"files": [
"https://github.com/gameltb/ComfyUI_stable_fast"
],
"install_type": "git-clone",
"description": "Nodes:ApplyStableFastUnet. Experimental usage of stable-fast."
},
{
"author": "jn-jairo",
"title": "jn_node_suite_comfyui [WIP]",
"reference": "https://github.com/jn-jairo/jn_node_suite_comfyui",
"files": [
"https://github.com/jn-jairo/jn_node_suite_comfyui"
],
"install_type": "git-clone",
"description": "Image manipulation nodes, Temperature control nodes, Tiling nodes, Primitive and operation nodes, ..."
},
{
"author": "PluMaZero",
"title": "ComfyUI-SpaceFlower",
"reference": "https://github.com/PluMaZero/ComfyUI-SpaceFlower",
"files": [
"https://github.com/PluMaZero/ComfyUI-SpaceFlower"
],
"install_type": "git-clone",
"description": "Nodes: SpaceFlower_Prompt, SpaceFlower_HangulPrompt, ..."
},
{
"author": "laksjdjf",
"title": "ssd-1b-comfyui",
"reference": "https://github.com/laksjdjf/ssd-1b-comfyui",
"files": [
"https://github.com/laksjdjf/ssd-1b-comfyui"
],
"install_type": "git-clone",
"description": "Experimental node for SSD-1B. This node is not need for latest comfyui."
},
{
"author": "flowtyone",
"title": "comfyui-flowty-lcm",
"reference": "https://github.com/flowtyone/comfyui-flowty-lcm",
"files": [
"https://github.com/flowtyone/comfyui-flowty-lcm"
],
"install_type": "git-clone",
"description": "This is a comfyui early testing node for LCM, adapted from [a/https://github.com/0xbitches/sd-webui-lcm](https://github.com/0xbitches/sd-webui-lcm). It uses the diffusers backend unfortunately and not comfy's model loading mechanism. But the intention here is just to be able to execute lcm inside comfy.\nNOTE: 0xbitches's 'Latent Consistency Model for ComfyUI' is original implementation."
},
{
"author": "doucx",
"title": "ComfyUI_WcpD_Utility_Kit",
"reference": "https://github.com/doucx/ComfyUI_WcpD_Utility_Kit",
"files": [
"https://github.com/doucx/ComfyUI_WcpD_Utility_Kit"
],
"install_type": "git-clone",
"description": "Nodes: MergeStrings, ExecStrAsCode, RandnLatentImage. [w/NOTE: This extension includes the ability to execute code as a string in nodes. Be cautious during installation, as it can pose a security risk.]"
},
{
"author": "WSJUSA",
"title": "pre-comfyui-stablsr",
"reference": "https://github.com/WSJUSA/Comfyui-StableSR",
"files": [
"https://github.com/WSJUSA/Comfyui-StableSR"
],
"install_type": "git-clone",
"description": "This is a development respository for debugging migration of StableSR to Comfyui"
},
{
"author": "Dr.Lt.Data",
"title": "ComfyUI-Workflow-Component [WIP]",
"reference": "https://github.com/ltdrdata/ComfyUI-Workflow-Component",
"files": [
"https://github.com/ltdrdata/ComfyUI-Workflow-Component"
],
"install_type": "git-clone",
"description": "This extension provides the capability to use ComfyUI Workflow as a component and the ability to use the Image Refiner functionality based on components. NOTE: This is an experimental extension feature with no consideration for backward compatibility and can be highly unstable."
}
]
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/extension-node-map.json
-890
View File
@@ -1,890 +0,0 @@
{
"https://github.com/17Retoucher/ComfyUI_Fooocus": [
[
"BasicScheduler",
"CLIPLoader",
"CLIPMergeSimple",
"CLIPSave",
"CLIPSetLastLayer",
"CLIPTextEncode",
"CLIPTextEncodeSDXL",
"CLIPTextEncodeSDXLRefiner",
"CLIPVisionEncode",
"CLIPVisionLoader",
"Canny",
"CheckpointLoader",
"CheckpointLoaderSimple",
"CheckpointSave",
"ConditioningAverage",
"ConditioningCombine",
"ConditioningConcat",
"ConditioningSetArea",
"ConditioningSetAreaPercentage",
"ConditioningSetMask",
"ConditioningSetTimestepRange",
"ConditioningZeroOut",
"ControlNetApply",
"ControlNetApplyAdvanced",
"ControlNetLoader",
"CropMask",
"DiffControlNetLoader",
"DiffusersLoader",
"DualCLIPLoader",
"EmptyImage",
"EmptyLatentImage",
"ExponentialScheduler",
"FeatherMask",
"FlipSigmas",
"Fooocus Controlnet",
"Fooocus Hirefix",
"Fooocus KSampler",
"Fooocus Loader",
"Fooocus LoraStack",
"Fooocus PreKSampler",
"Fooocus negative",
"Fooocus positive",
"Fooocus stylesSelector",
"FreeU",
"FreeU_V2",
"GLIGENLoader",
"GLIGENTextBoxApply",
"GrowMask",
"HyperTile",
"HypernetworkLoader",
"ImageBatch",
"ImageBlend",
"ImageBlur",
"ImageColorToMask",
"ImageCompositeMasked",
"ImageCrop",
"ImageInvert",
"ImageOnlyCheckpointLoader",
"ImagePadForOutpaint",
"ImageQuantize",
"ImageScale",
"ImageScaleBy",
"ImageScaleToTotalPixels",
"ImageSharpen",
"ImageToMask",
"ImageUpscaleWithModel",
"InvertMask",
"JoinImageWithAlpha",
"KSampler",
"KSamplerAdvanced",
"KSamplerSelect",
"KarrasScheduler",
"LatentAdd",
"LatentBatch",
"LatentBlend",
"LatentComposite",
"LatentCompositeMasked",
"LatentCrop",
"LatentFlip",
"LatentFromBatch",
"LatentInterpolate",
"LatentMultiply",
"LatentRotate",
"LatentSubtract",
"LatentUpscale",
"LatentUpscaleBy",
"LoadImage",
"LoadImageMask",
"LoadLatent",
"LoraLoader",
"LoraLoaderModelOnly",
"MaskComposite",
"MaskToImage",
"ModelMergeAdd",
"ModelMergeBlocks",
"ModelMergeSimple",
"ModelMergeSubtract",
"ModelSamplingContinuousEDM",
"ModelSamplingDiscrete",
"PatchModelAddDownscale",
"PerpNeg",
"PolyexponentialScheduler",
"PorterDuffImageComposite",
"PreviewImage",
"RebatchImages",
"RebatchLatents",
"RepeatImageBatch",
"RepeatLatentBatch",
"RescaleCFG",
"SDTurboScheduler",
"SVD_img2vid_Conditioning",
"SamplerCustom",
"SamplerDPMPP_2M_SDE",
"SamplerDPMPP_SDE",
"SaveAnimatedPNG",
"SaveAnimatedWEBP",
"SaveImage",
"SaveLatent",
"SelfAttentionGuidance",
"SetLatentNoiseMask",
"SolidMask",
"SplitImageWithAlpha",
"SplitSigmas",
"StableZero123_Conditioning",
"StyleModelApply",
"StyleModelLoader",
"TomePatchModel",
"UNETLoader",
"UpscaleModelLoader",
"VAEDecode",
"VAEDecodeTiled",
"VAEEncode",
"VAEEncodeForInpaint",
"VAEEncodeTiled",
"VAELoader",
"VAESave",
"VPScheduler",
"VideoLinearCFGGuidance",
"unCLIPCheckpointLoader",
"unCLIPConditioning"
],
{
"title_aux": "ComfyUI_Fooocus"
}
],
"https://github.com/BadCafeCode/execution-inversion-demo-comfyui": [
[
"AccumulateNode",
"AccumulationGetItemNode",
"AccumulationGetLengthNode",
"AccumulationHeadNode",
"AccumulationSetItemNode",
"AccumulationTailNode",
"AccumulationToListNode",
"BoolOperationNode",
"ComponentInput",
"ComponentMetadata",
"ComponentOutput",
"DebugPrint",
"ExecutionBlocker",
"FloatConditions",
"ForLoopClose",
"ForLoopOpen",
"IntConditions",
"IntMathOperation",
"InversionDemoAdvancedPromptNode",
"InversionDemoFakeAdvancedPromptNode",
"InversionDemoLazyConditional",
"InversionDemoLazyIndexSwitch",
"InversionDemoLazyMixImages",
"InversionDemoLazySwitch",
"ListToAccumulationNode",
"MakeListNode",
"StringConditions",
"ToBoolNode",
"WhileLoopClose",
"WhileLoopOpen"
],
{
"title_aux": "execution-inversion-demo-comfyui"
}
],
"https://github.com/BlueDangerX/ComfyUI-BDXNodes": [
[
"BDXTestInt",
"ColorMatch",
"ColorToMask",
"ConditioningMultiCombine",
"ConditioningSetMaskAndCombine",
"ConditioningSetMaskAndCombine3",
"ConditioningSetMaskAndCombine4",
"ConditioningSetMaskAndCombine5",
"CreateAudioMask",
"CreateFadeMask",
"CreateFluidMask",
"CreateGradientMask",
"CreateTextMask",
"CrossFadeImages",
"EmptyLatentImagePresets",
"GrowMaskWithBlur",
"SomethingToString",
"VRAM_Debug"
],
{
"author": "BlueDangerX",
"title": "BDXNodes",
"title_aux": "ComfyUI-BDXNodes [WIP]"
}
],
"https://github.com/Brandelan/ComfyUI_bd_customNodes": [
[
"BD Random Range",
"BD Random Settings",
"BD Sequencer",
"BD Settings"
],
{
"title_aux": "ComfyUI_bd_customNodes"
}
],
"https://github.com/IvanZhd/comfyui-codeformer": [
[
"RedBeanie_CustomImageInverter"
],
{
"title_aux": "comfyui-codeformer [WIP]"
}
],
"https://github.com/Jaxkr/comfyui-terminal-command": [
[
"Terminal"
],
{
"title_aux": "comfyui-terminal-command [UNSAFE]"
}
],
"https://github.com/Jordach/comfy-consistency-vae": [
[
"Comfy_ConsistencyVAE"
],
{
"title_aux": "comfy-consistency-vae"
}
],
"https://github.com/LarryJane491/ComfyUI-ModelUnloader": [
[
"Model Unloader"
],
{
"title_aux": "ComfyUI-ModelUnloader"
}
],
"https://github.com/MrAdamBlack/CheckProgress": [
[
"CHECK_PROGRESS"
],
{
"title_aux": "CheckProgress [WIP]"
}
],
"https://github.com/PluMaZero/ComfyUI-SpaceFlower": [
[
"SpaceFlower_HangulPrompt",
"SpaceFlower_Prompt"
],
{
"title_aux": "ComfyUI-SpaceFlower"
}
],
"https://github.com/Sai-ComfyUI/ComfyUI-MS-Nodes": [
[
"FloatMath",
"MS_Boolean",
"MS_Float",
"MS_GenerateSeed",
"MS_NP_Vector3",
"PowerFractalCrossHatchNode",
"PowerFractalNoiseNode",
"VectorMath"
],
{
"title_aux": "ComfyUI-MS-Nodes [WIP]"
}
],
"https://github.com/WSJUSA/Comfyui-StableSR": [
[
"ColorFix",
"StableSRUpscalerPipe"
],
{
"author": "WSJUSA",
"description": "This module enables StableSR in Comgfyui. Ported work of sd-webui-stablesr. Original work for Auotmaatic1111 version of this module and StableSR credit to LIightChaser and Jianyi Wang.",
"nickname": "StableSR",
"title": "StableSR",
"title_aux": "pre-comfyui-stablsr"
}
],
"https://github.com/ZHO-ZHO-ZHO/ComfyUI-AnyText": [
[
"AnyTextNode_Zho"
],
{
"title_aux": "ComfyUI-AnyText\uff08WIP\uff09"
}
],
"https://github.com/alt-key-project/comfyui-dream-video-batches": [
[
"Blended Transition [DVB]",
"Calculation [DVB]",
"Create Frame Set [DVB]",
"Divide [DVB]",
"Fade From Black [DVB]",
"Fade To Black [DVB]",
"Float Input [DVB]",
"For Each Done [DVB]",
"For Each Filename [DVB]",
"Frame Set Append [DVB]",
"Frame Set Frame Dimensions Scaled [DVB]",
"Frame Set Index Offset [DVB]",
"Frame Set Merger [DVB]",
"Frame Set Reindex [DVB]",
"Frame Set Repeat [DVB]",
"Frame Set Reverse [DVB]",
"Frame Set Split Beginning [DVB]",
"Frame Set Split End [DVB]",
"Frame Set Splitter [DVB]",
"Generate Inbetween Frames [DVB]",
"Int Input [DVB]",
"Linear Camera Pan [DVB]",
"Linear Camera Roll [DVB]",
"Linear Camera Zoom [DVB]",
"Load Image From Path [DVB]",
"Multiply [DVB]",
"Sine Camera Pan [DVB]",
"Sine Camera Roll [DVB]",
"Sine Camera Zoom [DVB]",
"String Input [DVB]",
"Text Input [DVB]",
"Trace Memory Allocation [DVB]",
"Unwrap Frame Set [DVB]"
],
{
"title_aux": "Dream Project Video Batches [WIP]"
}
],
"https://github.com/birnam/ComfyUI-GenData-Pack": [
[
"Checkpoint From String \ud83d\udc69\u200d\ud83d\udcbb",
"Checkpoint Rerouter \ud83d\udc69\u200d\ud83d\udcbb",
"Checkpoint Selector Stacker \ud83d\udc69\u200d\ud83d\udcbb",
"Checkpoint Selector \ud83d\udc69\u200d\ud83d\udcbb",
"Checkpoint to String \ud83d\udc69\u200d\ud83d\udcbb",
"Decode GenData \ud83d\udc69\u200d\ud83d\udcbb",
"Encode GenData \ud83d\udc69\u200d\ud83d\udcbb",
"GenData Stacker \ud83d\udc69\u200d\ud83d\udcbb",
"LoRA Stack to String \ud83d\udc69\u200d\ud83d\udcbb",
"LoRA Stacker From Prompt \ud83d\udc69\u200d\ud83d\udcbb",
"Load Checkpoints From File \ud83d\udc69\u200d\ud83d\udcbb",
"Load GenData From Dir \ud83d\udc69\u200d\ud83d\udcbb",
"Parse GenData \ud83d\udc69\u200d\ud83d\udcbb",
"Save Image From GenData \ud83d\udc69\u200d\ud83d\udcbb",
"VAE From String \ud83d\udc69\u200d\ud83d\udcbb",
"VAE to String \ud83d\udc69\u200d\ud83d\udcbb",
"\u00d7 Product CheckpointXGenDatas \ud83d\udc69\u200d\ud83d\udcbb"
],
{
"title_aux": "Gen Data Tester [WIP]"
}
],
"https://github.com/blepping/ComfyUI-sonar": [
[
"SamplerSonarEuler",
"SamplerSonarEulerA"
],
{
"title_aux": "ComfyUI-sonar (WIP)"
}
],
"https://github.com/comfyanonymous/ComfyUI": [
[
"BasicScheduler",
"CLIPLoader",
"CLIPMergeSimple",
"CLIPSave",
"CLIPSetLastLayer",
"CLIPTextEncode",
"CLIPTextEncodeSDXL",
"CLIPTextEncodeSDXLRefiner",
"CLIPVisionEncode",
"CLIPVisionLoader",
"Canny",
"CheckpointLoader",
"CheckpointLoaderSimple",
"CheckpointSave",
"ConditioningAverage",
"ConditioningCombine",
"ConditioningConcat",
"ConditioningSetArea",
"ConditioningSetAreaPercentage",
"ConditioningSetAreaStrength",
"ConditioningSetMask",
"ConditioningSetTimestepRange",
"ConditioningZeroOut",
"ControlNetApply",
"ControlNetApplyAdvanced",
"ControlNetLoader",
"CropMask",
"DiffControlNetLoader",
"DiffusersLoader",
"DualCLIPLoader",
"EmptyImage",
"EmptyLatentImage",
"ExponentialScheduler",
"FeatherMask",
"FlipSigmas",
"FreeU",
"FreeU_V2",
"GLIGENLoader",
"GLIGENTextBoxApply",
"GrowMask",
"HyperTile",
"HypernetworkLoader",
"ImageBatch",
"ImageBlend",
"ImageBlur",
"ImageColorToMask",
"ImageCompositeMasked",
"ImageCrop",
"ImageInvert",
"ImageOnlyCheckpointLoader",
"ImageOnlyCheckpointSave",
"ImagePadForOutpaint",
"ImageQuantize",
"ImageScale",
"ImageScaleBy",
"ImageScaleToTotalPixels",
"ImageSharpen",
"ImageToMask",
"ImageUpscaleWithModel",
"InpaintModelConditioning",
"InvertMask",
"JoinImageWithAlpha",
"KSampler",
"KSamplerAdvanced",
"KSamplerSelect",
"KarrasScheduler",
"LatentAdd",
"LatentBatch",
"LatentBatchSeedBehavior",
"LatentBlend",
"LatentComposite",
"LatentCompositeMasked",
"LatentCrop",
"LatentFlip",
"LatentFromBatch",
"LatentInterpolate",
"LatentMultiply",
"LatentRotate",
"LatentSubtract",
"LatentUpscale",
"LatentUpscaleBy",
"LoadImage",
"LoadImageMask",
"LoadLatent",
"LoraLoader",
"LoraLoaderModelOnly",
"MaskComposite",
"MaskToImage",
"ModelMergeAdd",
"ModelMergeBlocks",
"ModelMergeSimple",
"ModelMergeSubtract",
"ModelSamplingContinuousEDM",
"ModelSamplingDiscrete",
"PatchModelAddDownscale",
"PerpNeg",
"PhotoMakerEncode",
"PhotoMakerLoader",
"PolyexponentialScheduler",
"PorterDuffImageComposite",
"PreviewImage",
"RebatchImages",
"RebatchLatents",
"RepeatImageBatch",
"RepeatLatentBatch",
"RescaleCFG",
"SDTurboScheduler",
"SD_4XUpscale_Conditioning",
"SVD_img2vid_Conditioning",
"SamplerCustom",
"SamplerDPMPP_2M_SDE",
"SamplerDPMPP_SDE",
"SaveAnimatedPNG",
"SaveAnimatedWEBP",
"SaveImage",
"SaveLatent",
"SelfAttentionGuidance",
"SetLatentNoiseMask",
"SolidMask",
"SplitImageWithAlpha",
"SplitSigmas",
"StableZero123_Conditioning",
"StableZero123_Conditioning_Batched",
"StyleModelApply",
"StyleModelLoader",
"TomePatchModel",
"UNETLoader",
"UpscaleModelLoader",
"VAEDecode",
"VAEDecodeTiled",
"VAEEncode",
"VAEEncodeForInpaint",
"VAEEncodeTiled",
"VAELoader",
"VAESave",
"VPScheduler",
"VideoLinearCFGGuidance",
"unCLIPCheckpointLoader",
"unCLIPConditioning"
],
{
"title_aux": "ComfyUI"
}
],
"https://github.com/dnl13/ComfyUI-dnl13-seg": [
[
"Automatic Segmentation (dnl13)",
"BatchSelector (dnl13)",
"Combine Images By Mask (dnl13)",
"Dinov1 Model Loader (dnl13)",
"Mask with prompt (dnl13)",
"RGB (dnl13)",
"SAM Model Loader (dnl13)"
],
{
"title_aux": "ComfyUI-dnl13-seg"
}
],
"https://github.com/doucx/ComfyUI_WcpD_Utility_Kit": [
[
"BlackImage",
"CopyImage(Wayland)",
"ExecStrAsCode",
"MergeStrings",
"YamlToPrompt"
],
{
"title_aux": "ComfyUI_WcpD_Utility_Kit"
}
],
"https://github.com/eigenpunk/ComfyUI-audio": [
[
"ApplyVoiceFixer",
"BatchAudio",
"ClipAudio",
"CombineImageWithAudio",
"ConcatAudio",
"ConvertAudio",
"FlattenAudioBatch",
"LoadAudio",
"MusicgenGenerate",
"MusicgenHFGenerate",
"MusicgenHFLoader",
"MusicgenLoader",
"PreviewAudio",
"SaveAudio",
"SpectrogramImage",
"TortoiseTTSGenerate",
"TortoiseTTSLoader",
"VALLEXGenerator",
"VALLEXLoader",
"VALLEXVoicePromptFromAudio",
"VALLEXVoicePromptLoader"
],
{
"title_aux": "ComfyUI-audio"
}
],
"https://github.com/flowtyone/comfyui-flowty-lcm": [
[
"LCMSampler"
],
{
"title_aux": "comfyui-flowty-lcm"
}
],
"https://github.com/foglerek/comfyui-cem-tools": [
[
"ProcessImageBatch"
],
{
"title_aux": "comfyui-cem-tools"
}
],
"https://github.com/gameltb/ComfyUI_stable_fast": [
[
"ApplyStableFastUnet",
"ApplyTensorRTControlNet",
"ApplyTensorRTUnet",
"ApplyTensorRTVaeDecoder"
],
{
"title_aux": "ComfyUI_stable_fast"
}
],
"https://github.com/ilovejohnwhite/UncleBillyGoncho": [
[
"CannyEdgePreprocessor",
"HintImageEnchance",
"ImageGenResolutionFromImage",
"ImageGenResolutionFromLatent",
"LineArtPreprocessor",
"LinkMasterNode",
"PiDiNetPreprocessor",
"PixelPerfectResolution",
"SuckerPunch",
"UWU_Preprocessor",
"VooDooNode",
"VooDooNode2"
],
{
"title_aux": "TatToolkit"
}
],
"https://github.com/jn-jairo/jn_node_suite_comfyui": [
[
"JN_AreaInfo",
"JN_AreaNormalize",
"JN_AreaWidthHeight",
"JN_AreaXY",
"JN_Blip",
"JN_BlipLoader",
"JN_BooleanOperation",
"JN_Condition",
"JN_CoolDown",
"JN_CoolDownOutput",
"JN_CropFace",
"JN_DatetimeFormat",
"JN_DatetimeInfo",
"JN_DatetimeNow",
"JN_Dump",
"JN_DumpOutput",
"JN_FaceRestoreModelLoader",
"JN_FaceRestoreWithModel",
"JN_FirstActive",
"JN_ImageAddMask",
"JN_ImageBatch",
"JN_ImageCenterArea",
"JN_ImageCrop",
"JN_ImageGrid",
"JN_ImageInfo",
"JN_ImageSharpness",
"JN_ImageSquare",
"JN_ImageUncrop",
"JN_KSampler",
"JN_KSamplerAdvancedParams",
"JN_KSamplerFaceRestoreParams",
"JN_KSamplerResizeInputParams",
"JN_KSamplerResizeMaskAreaParams",
"JN_KSamplerResizeOutputParams",
"JN_KSamplerSeamlessParams",
"JN_KSamplerTileParams",
"JN_LoadImageDirectory",
"JN_LogicOperation",
"JN_MaskInfo",
"JN_MathOperation",
"JN_MathOperationArray",
"JN_PrimitiveArrayInfo",
"JN_PrimitiveBatchToArray",
"JN_PrimitiveBoolean",
"JN_PrimitiveFloat",
"JN_PrimitiveInt",
"JN_PrimitivePrompt",
"JN_PrimitiveString",
"JN_PrimitiveStringMultiline",
"JN_PrimitiveStringToArray",
"JN_PrimitiveToArray",
"JN_PrimitiveToBoolean",
"JN_PrimitiveToFloat",
"JN_PrimitiveToInt",
"JN_PrimitiveToString",
"JN_RemoveBackground",
"JN_Seamless",
"JN_SeamlessBorder",
"JN_SeamlessBorderCrop",
"JN_SelectItem",
"JN_Sleep",
"JN_SleepOutput",
"JN_SliceOperation",
"JN_StopIf",
"JN_StopIfOutput",
"JN_TextConcatenation",
"JN_TextReplace",
"JN_TimedeltaFormat",
"JN_TimedeltaInfo",
"JN_VAEPatch"
],
{
"title_aux": "jn_node_suite_comfyui [WIP]"
}
],
"https://github.com/kadirnar/ComfyUI-Transformers": [
[
"DepthEstimationPipeline"
],
{
"title_aux": "ComfyUI-Transformers"
}
],
"https://github.com/kadirnar/comfyui_helpers": [
[
"CLIPSeg",
"CircularVAEDecode",
"CombineMasks",
"CustomKSamplerAdvancedTile",
"ImageLoaderAndProcessor",
"ImageToContrastMask",
"JDC_AutoContrast",
"JDC_BlendImages",
"JDC_BrownNoise",
"JDC_Contrast",
"JDC_EqualizeGrey",
"JDC_GaussianBlur",
"JDC_GreyNoise",
"JDC_Greyscale",
"JDC_ImageLoader",
"JDC_ImageLoaderMeta",
"JDC_PinkNoise",
"JDC_Plasma",
"JDC_PlasmaSampler",
"JDC_PowerImage",
"JDC_RandNoise",
"JDC_ResizeFactor",
"LatentGaussianNoise",
"LatentToRGB",
"MathEncode",
"NoisyLatentPerlin"
],
{
"title_aux": "comfyui_helpers"
}
],
"https://github.com/kappa54m/ComfyUI_Usability": [
[
"LoadImageByPath",
"LoadImageDedup"
],
{
"title_aux": "ComfyUI_Usability (WIP)"
}
],
"https://github.com/komojini/ComfyUI_Prompt_Template_CustomNodes/raw/main/prompt_with_template.py": [
[
"ObjectPromptWithTemplate",
"PromptWithTemplate"
],
{
"title_aux": "ComfyUI_Prompt_Template_CustomNodes"
}
],
"https://github.com/laksjdjf/ssd-1b-comfyui": [
[
"SSD-1B-Loader"
],
{
"title_aux": "ssd-1b-comfyui"
}
],
"https://github.com/ltdrdata/ComfyUI-Workflow-Component": [
[
"ComboToString",
"ExecutionBlocker",
"ExecutionControlString",
"ExecutionOneOf",
"ExecutionSwitch",
"InputUnzip",
"InputZip",
"LoopControl",
"LoopCounterCondition",
"OptionalTest",
"TensorToCPU"
],
{
"title_aux": "ComfyUI-Workflow-Component [WIP]"
}
],
"https://github.com/nidefawl/ComfyUI-nidefawl": [
[
"BlendImagesWithBoundedMasks",
"CropImagesWithMasks",
"CustomCallback",
"DisplayAnyType",
"EmptyImageWithColor",
"ImageToLatent",
"LatentPerlinNoise",
"LatentScaledNoise",
"LatentToImage",
"MaskFromColor",
"ModelSamplerTonemapNoiseTest",
"PythonScript",
"ReferenceOnlySimple",
"SamplerCustomCallback",
"SamplerDPMPP_2M_SDE_nidefawl",
"SetLatentCustomNoise",
"SplitCustomSigmas",
"VAELoaderDataType",
"gcLatentTunnel"
],
{
"title_aux": "ComfyUI-nidefawl [UNSAFE]"
}
],
"https://github.com/nkchocoai/ComfyUI-PromptUtilities": [
[
"PromptUtilitiesConstString",
"PromptUtilitiesConstStringMultiLine",
"PromptUtilitiesFormatString",
"PromptUtilitiesJoinStringList",
"PromptUtilitiesLoadPreset",
"PromptUtilitiesLoadPresetAdvanced"
],
{
"title_aux": "ComfyUI-PromptUtilities"
}
],
"https://github.com/oyvindg/ComfyUI-TrollSuite": [
[
"BinaryImageMask",
"ImagePadding",
"LoadLastImage",
"RandomMask",
"TransparentImage"
],
{
"title_aux": "ComfyUI-TrollSuite"
}
],
"https://github.com/phineas-pta/comfy-trt-test": [
[
"TRT_Lora_Loader",
"TRT_Torch_Compile",
"TRT_Unet_Loader"
],
{
"author": "PTA",
"description": "attempt to use TensorRT with ComfyUI, not yet compatible with ComfyUI-Manager, see README for instructions",
"nickname": "comfy trt test",
"title": "TensorRT with ComfyUI (work-in-progress)",
"title_aux": "comfy-trt-test [WIP]"
}
],
"https://github.com/poisenbery/NudeNet-Detector-Provider": [
[
"NudeNetDetectorProvider"
],
{
"title_aux": "NudeNet-Detector-Provider [WIP]"
}
],
"https://github.com/prismwastaken/comfyui-tools": [
[
"Prism-RandomNormal"
],
{
"title_aux": "prism-tools"
}
],
"https://github.com/unanan/ComfyUI-clip-interrogator": [
[
"ComfyUIClipInterrogator",
"ShowText"
],
{
"title_aux": "ComfyUI-clip-interrogator [WIP]"
}
],
"https://github.com/wormley/comfyui-wormley-nodes": [
[
"CheckpointVAELoaderSimpleText",
"CheckpointVAESelectorText",
"LoRA_Tag_To_Stack"
],
{
"title_aux": "comfyui-wormley-nodes"
}
]
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/model-list.json
-3
View File
@@ -1,3 +0,0 @@
{
"models": []
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/dev/scan.sh
-3
View File
@@ -1,3 +0,0 @@
#!/bin/bash
rm ~/.tmp/dev/*.py > /dev/null 2>&1
python ../../scanner.py ~/.tmp/dev
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/custom-node-list.json
-14
View File
@@ -1,14 +0,0 @@
{
"custom_nodes": [
{
"author": "gameltb",
"title": "comfyui-stablsr",
"reference": "https://github.com/gameltb/Comfyui-StableSR",
"files": [
"https://github.com/gameltb/Comfyui-StableSR"
],
"install_type": "git-clone",
"description": "This is a development respository for debugging migration of StableSR to ComfyUI\n\nNOTE:Forked from [https://github.com/gameltb/Comfyui-StableSR]\nPut the StableSR [a/webui_786v_139.ckpt](https://huggingface.co/Iceclear/StableSR/resolve/main/webui_768v_139.ckpt) model into Comyfui/models/stablesr/, Put the StableSR [a/stablesr_768v_000139.ckpt](https://huggingface.co/Iceclear/StableSR/resolve/main/stablesr_768v_000139.ckpt) model into Comyfui/models/checkpoints/"
}
]
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/extension-node-map.json
-1
View File
@@ -1 +0,0 @@
{}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/model-list.json
-3
View File
@@ -1,3 +0,0 @@
{
"models": []
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/forked/scan.sh
-4
View File
@@ -1,4 +0,0 @@
#!/bin/bash
source ../../../../venv/bin/activate
rm .tmp/*.py > /dev/null
python ../../scanner.py
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/alter-list.json
-1
View File
@@ -1 +0,0 @@
{}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/custom-node-list.json
-235
View File
@@ -1,235 +0,0 @@
{
"custom_nodes": [
{
"author": "#NOTICE_1.13",
"title": "NOTICE: This channel is not the default channel.",
"reference": "https://github.com/ltdrdata/ComfyUI-Manager",
"files": [],
"install_type": "git-clone",
"description": "If you see this message, your ComfyUI-Manager is outdated.\nLegacy channel provides only the list of the deprecated nodes. If you want to find the complete node list, please go to the Default channel."
},
{
"author": "ccvv804",
"title": "ComfyUI StableCascade using diffusers for Low VRAM [DEPRECATED]",
"reference": "https://github.com/ccvv804/ComfyUI-DiffusersStableCascade-LowVRAM",
"files": [
"https://github.com/ccvv804/ComfyUI-DiffusersStableCascade-LowVRAM"
],
"install_type": "git-clone",
"description": "Works with RTX 4070ti 12GB.\nSimple quick wrapper for [a/https://huggingface.co/stabilityai/stable-cascade](https://huggingface.co/stabilityai/stable-cascade)\nComfy is going to implement this properly soon, this repo is just for quick testing for the impatient!"
},
{
"author": "kijai",
"title": "ComfyUI StableCascade using diffusers [DEPRECATED]",
"reference": "https://github.com/kijai/ComfyUI-DiffusersStableCascade",
"files": [
"https://github.com/kijai/ComfyUI-DiffusersStableCascade"
],
"install_type": "git-clone",
"description": "Simple quick wrapper for [a/https://huggingface.co/stabilityai/stable-cascade](https://huggingface.co/stabilityai/stable-cascade)\nComfy is going to implement this properly soon, this repo is just for quick testing for the impatient!"
},
{
"author": "solarpush",
"title": "comfyui_sendimage_node [REMOVED]",
"reference": "https://github.com/solarpush/comfyui_sendimage_node",
"files": [
"https://github.com/solarpush/comfyui_sendimage_node"
],
"install_type": "git-clone",
"description": "Send images to the pod."
},
{
"author": "azazeal04",
"title": "ComfyUI-Styles",
"reference": "https://github.com/azazeal04/ComfyUI-Styles",
"files": [
"https://github.com/azazeal04/ComfyUI-Styles"
],
"install_type": "git-clone",
"description": "Nodes:Anime_Styler, Fantasy_Styler, Gothic_Styler, Line_Art_Styler, Movie_Poster_Styler, Punk_Styler, Travel_Poster_Styler. This extension offers 8 art style nodes, each of which includes approximately 50 individual style variations.\n\nNOTE: Due to the dynamic nature of node name definitions, ComfyUI-Manager cannot recognize the node list from this extension. The Missing nodes and Badge features are not available for this extension.\nNOTE: This extension is removed. Users who were previously using this node should install ComfyUI-styles-all instead."
},
{
"author": "hnmr293",
"title": "ComfyUI-nodes-hnmr",
"reference": "https://github.com/hnmr293/ComfyUI-nodes-hnmr",
"files": [
"https://github.com/hnmr293/ComfyUI-nodes-hnmr"
],
"install_type": "git-clone",
"description": "Provide various custom nodes for Latent, Sampling, Model, Loader, Image, Text"
},
{
"author": "bvhari",
"title": "ComfyUI_PerpNeg [WIP]",
"reference": "https://github.com/bvhari/ComfyUI_PerpNeg",
"files": [
"https://github.com/bvhari/ComfyUI_PerpNeg"
],
"install_type": "git-clone",
"description": "Nodes: KSampler (Advanced + Perp-Neg). Implementation of [a/Perp-Neg](https://perp-neg.github.io/)\nIncludes Tonemap and CFG Rescale optionsComfyUI custom node to convert latent to RGB.[w/WARNING: Experimental code, might have incompatibilities and edge cases.]\nNOTE: In the latest version of ComfyUI, this extension is included as built-in."
},
{
"author": "laksjdjf",
"title": "IPAdapter-ComfyUI",
"reference": "https://github.com/laksjdjf/IPAdapter-ComfyUI",
"files": [
"https://github.com/laksjdjf/IPAdapter-ComfyUI"
],
"install_type": "git-clone",
"description": "This custom nodes provides loader of the IP-Adapter model.[w/NOTE: To use this extension node, you need to download the [a/ip-adapter_sd15.bin](https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.bin) file and place it in the %%**custom_nodes/IPAdapter-ComfyUI/models**%% directory. Additionally, you need to download the 'Clip vision model' from the 'Install models' menu as well.]<BR>NOTE: Use ComfyUI_IPAdapter_plus instead of this."
},
{
"author": "RockOfFire",
"title": "CR Animation Nodes",
"reference": "https://github.com/RockOfFire/CR_Animation_Nodes",
"files": [
"https://github.com/RockOfFire/CR_Animation_Nodes"
],
"install_type": "git-clone",
"description": "A comprehensive suite of nodes to enhance your animations. These nodes include some features similar to Deforum, and also some new ideas.<BR>NOTE: This node is merged into Comfyroll Custom Nodes."
},
{
"author": "tkoenig89",
"title": "Load Image with metadata",
"reference": "https://github.com/tkoenig89/ComfyUI_Load_Image_With_Metadata",
"files": [
"https://github.com/tkoenig89/ComfyUI_Load_Image_With_Metadata"
],
"install_type": "git-clone",
"description": "A custom node for comfy ui to read generation data from images (prompt, seed, size...). This could be used when upscaling generated images to use the original prompt and seed."
},
{
"author": "LucianoCirino",
"title": "Efficiency Nodes for ComfyUI [LEGACY]",
"reference": "https://github.com/LucianoCirino/efficiency-nodes-comfyui",
"files": [
"https://github.com/LucianoCirino/efficiency-nodes-comfyui"
],
"install_type": "git-clone",
"description": "A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count.<BR>NOTE: This repository is the original repository but is no longer maintained. Please use the forked version by jags."
},
{
"author": "GeLi1989",
"title": "roop nodes for ComfyUI",
"reference": "https://github.com/GeLi1989/GK-beifen-ComfyUI_roop",
"files": [
"https://github.com/GeLi1989/GK-beifen-ComfyUI_roop"
],
"install_type": "git-clone",
"description": "ComfyUI nodes for the roop A1111 webui script. NOTE: Need to download <a href='https://github.com/SumDeusVitae/FaceSwap_v01/raw/main/inswapper_128.onnx' target='blank'/>model</a> to use this node. NOTE: This is removed."
},
{
"author": "ProDALOR",
"title": "comfyui_u2net",
"reference": "https://github.com/ProDALOR/comfyui_u2net",
"files": [
"https://github.com/ProDALOR/comfyui_u2net"
],
"install_type": "git-clone",
"description": "Nodes: Load U2Net model, U2Net segmentation, To mask, Segmentation to mask, U2NetBaseNormalization, U2NetMaxNormalization. NOTE: This is removed."
},
{
"author": "FizzleDorf",
"title": "AIT",
"reference": "https://github.com/FizzleDorf/AIT",
"files": [
"https://github.com/FizzleDorf/AIT"
],
"install_type": "git-clone",
"description": "Nodes: Load AITemplate, Load AITemplate (ControlNet), VAE Decode (AITemplate), VAE Encode (AITemplate), VAE Encode (AITemplate, Inpaint). Experimental usage of AITemplate. NOTE: This is deprecated extension. Use <b>ComfyUI-AIT</b> instead of this."
},
{
"author": "chenbaiyujason",
"title": "sc-node-comfyui",
"reference": "https://github.com/chenbaiyujason/sc-node-comfyui",
"files": [
"https://github.com/chenbaiyujason/sc-node-comfyui"
],
"install_type": "git-clone",
"description": "Nodes for GPT interaction and text manipulation"
},
{
"author": "asd417",
"title": "CheckpointTomeLoader",
"reference": "https://github.com/asd417/tomeSD_for_Comfy",
"files": [
"https://github.com/ltdrdata/ComfyUI-tomeSD-installer"
],
"install_type": "git-clone",
"description": "tomeSD(https://github.com/dbolya/tomesd) applied to ComfyUI stable diffusion UI using custom node. <B>Note:In vanilla ComfyUI, the TomePatchModel node is provided as a built-in feature.</B>"
},
{
"author": "gamert",
"title": "ComfyUI_tagger",
"reference": "https://github.com/gamert/ComfyUI_tagger",
"pip": ["gradio"],
"files": [
"https://github.com/gamert/ComfyUI_tagger"
],
"install_type": "git-clone",
"description": "Nodes: CLIPTextEncodeTaggerDD, ImageTaggerDD. <p style='background-color: black; color: red;'>WARNING: Installing the current version is causing an issue where ComfyUI fails to start.</p>"
},
{
"author": "Fannovel16",
"title": "ControlNet Preprocessors",
"reference": "https://github.com/Fannovel16/comfy_controlnet_preprocessors",
"files": [
"https://github.com/Fannovel16/comfy_controlnet_preprocessors"
],
"install_type": "git-clone",
"description": "ControlNet Preprocessors. (To use this extension, you need to download the required model file from <B>Install Models</B>)<BR> <p style='background-color: black; color: red;'>NOTE: Please uninstall this custom node and instead install 'ComfyUI's ControlNet Auxiliary Preprocessors' from the default channel.<BR>To use nodes belonging to <B>controlnet v1</b> such as <B>Canny_Edge_Preprocessor, MIDAS_Depth_Map_Preprocessor, Uniformer_SemSegPreprocessor, etc.</B>, you need to copy the <font color='white'>config.yaml.example</font> file to <font color='white'>config.yaml</font> and change <font color='white'>skip_v1: True</font> to <font color='white'>skip_v1: False</font>.</p>"
},
{
"author": "comfyanonymous",
"title": "ComfyUI_experiments/sampler_tonemap",
"reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
"files": [
"https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/sampler_tonemap.py"
],
"install_type": "copy",
"description": "ModelSamplerTonemapNoiseTest a node that makes the sampler use a simple tonemapping algorithm to tonemap the noise. It will let you use higher CFG without breaking the image. To using higher CFG lower the multiplier value. Similar to Dynamic Thresholding extension of A1111. "
},
{
"author": "comfyanonymous",
"title": "ComfyUI_experiments/sampler_rescalecfg",
"reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
"files": [
"https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/sampler_rescalecfg.py"
],
"install_type": "copy",
"description": "RescaleClassifierFreeGuidance improves the problem of images being degraded by high CFG.To using higher CFG lower the multiplier value. Similar to Dynamic Thresholding extension of A1111. (<a href='https://arxiv.org/abs/2305.08891'/>reference paper</a>)<p style='background-color: black; color: red;'>It is recommended to use the integrated custom nodes in the default channel for update support rather than installing individual nodes.</p>"
},
{
"author": "comfyanonymous",
"title": "ComfyUI_experiments/advanced_model_merging",
"reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
"files": [
"https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/advanced_model_merging.py"
],
"install_type": "copy",
"description": "This provides a detailed model merge feature based on block weight. ModelMergeBlock, in vanilla ComfyUI, allows for adjusting the ratios of input/middle/output layers, but this node provides ratio adjustments for all blocks within each layer.<p style='background-color: black; color: red;'>It is recommended to use the integrated custom nodes in the default channel for update support rather than installing individual nodes.</p>"
},
{
"author": "comfyanonymous",
"title": "ComfyUI_experiments/sdxl_model_merging",
"reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
"files": [
"https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/sdxl_model_merging.py"
],
"install_type": "copy",
"description": "These nodes provide the capability to merge SDXL base models.<p style='background-color: black; color: red;'>It is recommended to use the integrated custom nodes in the default channel for update support rather than installing individual nodes.</p>"
},
{
"author": "comfyanonymous",
"title": "ComfyUI_experiments/reference_only",
"reference": "https://github.com/comfyanonymous/ComfyUI_experiments",
"files": [
"https://github.com/comfyanonymous/ComfyUI_experiments/raw/master/reference_only.py"
],
"install_type": "copy",
"description": "This node provides functionality corresponding to Reference only in Controlnet.<p style='background-color: black; color: red;'>It is recommended to use the integrated custom nodes in the default channel for update support rather than installing individual nodes.</p>"
}
]
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/extension-node-map.json
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{}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/legacy/model-list.json
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{
"models": []
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/alter-list.json
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{
"items": [
]
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/custom-node-list.json
-705
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@@ -1,705 +0,0 @@
{
"custom_nodes": [
{
"author": "#NOTICE_1.13",
"title": "NOTICE: This channel is not the default channel.",
"reference": "https://github.com/ltdrdata/ComfyUI-Manager",
"files": [],
"install_type": "git-clone",
"description": "If you see this message, your ComfyUI-Manager is outdated.\nRecent channel provides only the list of the latest nodes. If you want to find the complete node list, please go to the Default channel.\nMaking LoRA has never been easier!"
},
{
"author": "Big-Idea-Technology",
"title": "ImageTextOverlay Node for ComfyUI",
"reference": "https://github.com/Big-Idea-Technology/ComfyUI_Image_Text_Overlay",
"files": [
"https://github.com/Big-Idea-Technology/ComfyUI_Image_Text_Overlay"
],
"install_type": "git-clone",
"description": "ImageTextOverlay is a customizable Node for ComfyUI that allows users to easily add text overlays to images within their ComfyUI projects. This Node leverages Python Imaging Library (PIL) and PyTorch to dynamically render text on images, supporting a wide range of customization options including font size, alignment, color, and padding."
},
{
"author": "logtd",
"title": "ComfyUI-InstanceDiffusion",
"reference": "https://github.com/logtd/ComfyUI-InstanceDiffusion",
"files": [
"https://github.com/logtd/ComfyUI-InstanceDiffusion"
],
"install_type": "git-clone",
"description": "ComfyUI nodes to use [a/InstanceDiffusion](https://github.com/frank-xwang/InstanceDiffusion/tree/main?tab=readme-ov-file)."
},
{
"author": "Guillaume-Fgt",
"title": "ComfyUI-ScenarioPrompt",
"reference": "https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio",
"files": [
"https://github.com/Guillaume-Fgt/ComfyUI_StableCascadeLatentRatio"
],
"install_type": "git-clone",
"description": "A custom node to create empty latents for Stable Cascade.\nfeatures: width and height incrementation of 64 by default, possibility to lock the aspect ratio, switch width/height at execution"
},
{
"author": "Ludobico",
"title": "ComfyUI-ScenarioPrompt",
"reference": "https://github.com/Ludobico/ComfyUI-ScenarioPrompt",
"files": [
"https://github.com/Ludobico/ComfyUI-ScenarioPrompt"
],
"install_type": "git-clone",
"description": "ScenarioPrompt is a custom node that helps you understand what you're prompting for each property as you build your prompts"
},
{
"author": "Klinter",
"title": "Klinter_nodes",
"reference": "https://github.com/klinter007/klinter_nodes",
"files": [
"https://github.com/klinter007/klinter_nodes"
],
"install_type": "git-clone",
"description": "Concat_strings atm - celebrating first_node"
},
{
"author": "LykosAI",
"title": "ComfyUI Nodes for Inference.Core",
"reference": "https://github.com/LykosAI/ComfyUI-Inference-Core-Nodes",
"files": [
"https://github.com/LykosAI/ComfyUI-Inference-Core-Nodes"
],
"install_type": "git-clone",
"description": "Primary Nodes for Inference.Core and Stability Matrix. With a focus on not impacting startup performance and using fully qualified Node names."
},
{
"author": "cubiq",
"title": "Face Analysis for ComfyUI",
"reference": "https://github.com/cubiq/ComfyUI_FaceAnalysis",
"files": [
"https://github.com/cubiq/ComfyUI_FaceAnalysis"
],
"install_type": "git-clone",
"description": "This extension uses [a/DLib](http://dlib.net/) to calculate the Euclidean and Cosine distance between two faces.\nNOTE: Install the Shape Predictor, Face Recognition model from the Install models menu."
},
{
"author": "1038lab",
"title": "ComfyUI-GPT2P",
"reference": "https://github.com/1038lab/ComfyUI-GPT2P",
"files": [
"https://github.com/1038lab/ComfyUI-GPT2P"
],
"install_type": "git-clone",
"description": "ComfyUI Node - Hugging Face repositories GTP2 Prompt"
},
{
"author": "mirabarukaso",
"title": "ComfyUI_Mira",
"reference": "https://github.com/mirabarukaso/ComfyUI_Mira",
"files": [
"https://github.com/mirabarukaso/ComfyUI_Mira"
],
"install_type": "git-clone",
"description": "Nodes:Integer Multiplier, Float Multiplier, Convert Numeral to String, Create Canvas Advanced, Create Canvas, Create PNG Mask, Color Mask to HEX String, Color Mask to INT RGB, Color Masks to List"
},
{
"author": "yytdfc",
"title": "Amazon Bedrock nodes for for ComfyUI",
"reference": "https://github.com/yytdfc/ComfyUI-Bedrock",
"files": [
"https://github.com/yytdfc/ComfyUI-Bedrock"
],
"install_type": "git-clone",
"description": "This extension provides fundation models nodes from Amazon Bedrock, including Claude (v1, v2.0, v2.1), SDXL."
},
{
"author": "ZHO-ZHO-ZHO",
"title": "ComfyUI YoloWorld-EfficientSAM",
"reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM",
"files": [
"https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM"
],
"install_type": "git-clone",
"description": "Unofficial implementation of [a/YOLO-World + EfficientSAM](https://huggingface.co/spaces/SkalskiP/YOLO-World) & [a/YOLO-World](https://github.com/AILab-CVC/YOLO-World) for ComfyUI\nNOTE: Install the efficient_sam model from the Install models menu.\n[w/When installing or updating this custom node, many installation packages may be downgraded due to the installation of requirements.]"
},
{
"author": "nkchocoai",
"title": "ComfyUI-SaveImageWithMetaData",
"reference": "https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData",
"files": [
"https://github.com/nkchocoai/ComfyUI-SaveImageWithMetaData"
],
"install_type": "git-clone",
"description": "Add a node to save images with metadata (PNGInfo) extracted from the input values of each node.\nSince the values are extracted dynamically, values output by various extension nodes can be added to metadata."
},
{
"author": "yuvraj108c",
"title": "ComfyUI-Vsgan",
"reference": "https://github.com/yuvraj108c/ComfyUI-Vsgan",
"files": [
"https://github.com/yuvraj108c/ComfyUI-Vsgan"
],
"install_type": "git-clone",
"description": "Nodes:Upscale Video Tensorrt"
},
{
"author": "Kijai",
"title": "Animatediff MotionLoRA Trainer",
"reference": "https://github.com/kijai/ComfyUI-ADMotionDirector",
"files": [
"https://github.com/kijai/ComfyUI-ADMotionDirector"
],
"install_type": "git-clone",
"description": "This is a trainer for AnimateDiff MotionLoRAs, based on the implementation of MotionDirector by ExponentialML."
},
{
"author": "GavChap",
"title": "ComfyUI-CascadeResolutions",
"reference": "https://github.com/GavChap/ComfyUI-CascadeResolutions",
"files": [
"https://github.com/GavChap/ComfyUI-CascadeResolutions"
],
"install_type": "git-clone",
"description": "Nodes:Cascade Resolutions"
},
{
"author": "blepping",
"title": "ComfyUI-sonar",
"reference": "https://github.com/blepping/ComfyUI-sonar",
"files": [
"https://github.com/blepping/ComfyUI-sonar"
],
"install_type": "git-clone",
"description": "A janky implementation of Sonar sampling (momentum-based sampling) for ComfyUI."
},
{
"author": "StartHua",
"title": "comfyui_segformer_b2_clothes",
"reference": "https://github.com/StartHua/Comfyui_segformer_b2_clothes",
"files": [
"https://github.com/StartHua/Comfyui_segformer_b2_clothes"
],
"install_type": "git-clone",
"description": "SegFormer model fine-tuned on ATR dataset for clothes segmentation but can also be used for human segmentation!\nDownload the weight and put it under checkpoints: [a/https://huggingface.co/mattmdjaga/segformer_b2_clothes](https://huggingface.co/mattmdjaga/segformer_b2_clothes)"
},
{
"author": "AshMartian",
"title": "Dir Gir",
"reference": "https://github.com/AshMartian/ComfyUI-DirGir",
"files": [
"https://github.com/AshMartian/ComfyUI-DirGir/raw/main/dir_picker.py",
"https://github.com/AshMartian/ComfyUI-DirGir/raw/main/dir_loop.py"
],
"install_type": "copy",
"description": "A collection of ComfyUI directory automation utility nodes. Directory Get It Right adds a GUI directory browser, and smart directory loop/iteration node that supports regex and file extension filtering."
},
{
"author": "ccvv804",
"title": "ComfyUI StableCascade using diffusers for Low VRAM",
"reference": "https://github.com/ccvv804/ComfyUI-DiffusersStableCascade-LowVRAM",
"files": [
"https://github.com/ccvv804/ComfyUI-DiffusersStableCascade-LowVRAM"
],
"install_type": "git-clone",
"description": "Works with RTX 4070ti 12GB.\nSimple quick wrapper for [a/https://huggingface.co/stabilityai/stable-cascade](https://huggingface.co/stabilityai/stable-cascade)\nComfy is going to implement this properly soon, this repo is just for quick testing for the impatient!"
},
{
"author": "yuvraj108c",
"title": "ComfyUI-Pronodes",
"reference": "https://github.com/yuvraj108c/ComfyUI-Pronodes",
"files": [
"https://github.com/yuvraj108c/ComfyUI-Pronodes"
],
"install_type": "git-clone",
"description": "A collection of nice utility nodes for ComfyUI"
},
{
"author": "pkpkTech",
"title": "ComfyUI-SaveQueues",
"reference": "https://github.com/pkpkTech/ComfyUI-SaveQueues",
"files": [
"https://github.com/pkpkTech/ComfyUI-SaveQueues"
],
"install_type": "git-clone",
"description": "Add a button to the menu to save and load the running queue and the pending queues.\nThis is intended to be used when you want to exit ComfyUI with queues still remaining."
},
{
"author": "jordoh",
"title": "ComfyUI Deepface",
"reference": "https://github.com/jordoh/ComfyUI-Deepface",
"files": [
"https://github.com/jordoh/ComfyUI-Deepface"
],
"install_type": "git-clone",
"description": "ComfyUI nodes wrapping the [a/deepface](https://github.com/serengil/deepface) library."
},
{
"author": "kijai",
"title": "ComfyUI StableCascade using diffusers",
"reference": "https://github.com/kijai/ComfyUI-DiffusersStableCascade",
"files": [
"https://github.com/kijai/ComfyUI-DiffusersStableCascade"
],
"install_type": "git-clone",
"description": "Simple quick wrapper for [a/https://huggingface.co/stabilityai/stable-cascade](https://huggingface.co/stabilityai/stable-cascade)\nComfy is going to implement this properly soon, this repo is just for quick testing for the impatient!"
},
{
"author": "Extraltodeus",
"title": "ComfyUI-AutomaticCFG",
"reference": "https://github.com/Extraltodeus/ComfyUI-AutomaticCFG",
"files": [
"https://github.com/Extraltodeus/ComfyUI-AutomaticCFG"
],
"install_type": "git-clone",
"description": "My own version 'from scratch' of a self-rescaling CFG. It isn't much but it's honest work.\nTLDR: set your CFG at 8 to try it. No burned images and artifacts anymore. CFG is also a bit more sensitive because it's a proportion around 8. Low scale like 4 also gives really nice results since your CFG is not the CFG anymore. Also in general even with relatively low settings it seems to improve the quality."
},
{
"author": "Mamaaaamooooo",
"title": "Batch Rembg for ComfyUI",
"reference": "https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes",
"files": [
"https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes"
],
"install_type": "git-clone",
"description": "Remove background of plural images."
},
{
"author": "ShmuelRonen",
"title": "ComfyUI-SVDResizer",
"reference": "https://github.com/ShmuelRonen/ComfyUI-SVDResizer",
"files": [
"https://github.com/ShmuelRonen/ComfyUI-SVDResizer"
],
"install_type": "git-clone",
"description": "SVDResizer is a helper for resizing the source image, according to the sizes enabled in Stable Video Diffusion. The rationale behind the possibility of changing the size of the image in steps between the ranges of 576 and 1024, is the use of the greatest common denominator of these two numbers which is 64. SVD is lenient with resizing that adheres to this rule, so the chance of coherent video that is not the standard size of 576X1024 is greater. It is advisable to keep the value 1024 constant and play with the second size to maintain the stability of the result."
},
{
"author": "xiaoxiaodesha",
"title": "hd-nodes-comfyui",
"reference": "https://github.com/xiaoxiaodesha/hd_node",
"files": [
"https://github.com/xiaoxiaodesha/hd_node"
],
"install_type": "git-clone",
"description": "Nodes:Combine HDMasks, Cover HDMasks, HD FaceIndex, HD SmoothEdge, HD GetMaskArea, HD Image Levels, HD Ultimate SD Upscale"
},
{
"author": "StartHua",
"title": "Comfyui_joytag",
"reference": "https://github.com/StartHua/Comfyui_joytag",
"files": [
"https://github.com/StartHua/Comfyui_joytag"
],
"install_type": "git-clone",
"description": "JoyTag is a state of the art AI vision model for tagging images, with a focus on sex positivity and inclusivity. It uses the Danbooru tagging schema, but works across a wide range of images, from hand drawn to photographic.\nDownload the weight and put it under checkpoints: [a/https://huggingface.co/fancyfeast/joytag/tree/main](https://huggingface.co/fancyfeast/joytag/tree/main)"
},
{
"author": "redhottensors",
"title": "ComfyUI-Prediction",
"reference": "https://github.com/redhottensors/ComfyUI-Prediction",
"files": [
"https://github.com/redhottensors/ComfyUI-Prediction"
],
"install_type": "git-clone",
"description": "Fully customizable Classifier Free Guidance for ComfyUI."
},
{
"author": "nkchocoai",
"title": "ComfyUI-TextOnSegs",
"reference": "https://github.com/nkchocoai/ComfyUI-TextOnSegs",
"files": [
"https://github.com/nkchocoai/ComfyUI-TextOnSegs"
],
"install_type": "git-clone",
"description": "Add a node for drawing text with CR Draw Text of ComfyUI_Comfyroll_CustomNodes to the area of SEGS detected by Ultralytics Detector of ComfyUI-Impact-Pack."
},
{
"author": "cubiq",
"title": "ComfyUI InstantID (Native Support)",
"reference": "https://github.com/cubiq/ComfyUI_InstantID",
"files": [
"https://github.com/cubiq/ComfyUI_InstantID"
],
"install_type": "git-clone",
"description": "Native [a/InstantID](https://github.com/InstantID/InstantID) support for ComfyUI.\nThis extension differs from the many already available as it doesn't use diffusers but instead implements InstantID natively and it fully integrates with ComfyUI.\nPlease note this still could be considered beta stage, looking forward to your feedback."
},
{
"author": "Franck-Demongin",
"title": "NX_PromptStyler",
"reference": "https://github.com/Franck-Demongin/NX_PromptStyler",
"files": [
"https://github.com/Franck-Demongin/NX_PromptStyler"
],
"install_type": "git-clone",
"description": "A custom node for ComfyUI to create a prompt based on a list of keywords saved in CSV files."
},
{
"author": "Billius-AI",
"title": "ComfyUI-Path-Helper",
"reference": "https://github.com/Billius-AI/ComfyUI-Path-Helper",
"files": [
"https://github.com/Billius-AI/ComfyUI-Path-Helper"
],
"install_type": "git-clone",
"description": "Nodes:Create Project Root, Add Folder, Add Folder Advanced, Add File Name Prefix, Add File Name Prefix Advanced, ShowPath"
},
{
"author": "mbrostami",
"title": "ComfyUI-HF",
"reference": "https://github.com/mbrostami/ComfyUI-HF",
"files": [
"https://github.com/mbrostami/ComfyUI-HF"
],
"install_type": "git-clone",
"description": "ComfyUI Node to work with Hugging Face repositories"
},
{
"author": "digitaljohn",
"title": "ComfyUI-ProPost",
"reference": "https://github.com/digitaljohn/comfyui-propost",
"files": [
"https://github.com/digitaljohn/comfyui-propost"
],
"install_type": "git-clone",
"description": "A set of custom ComfyUI nodes for performing basic post-processing effects including Film Grain and Vignette. These effects can help to take the edge off AI imagery and make them feel more natural."
},
{
"author": "deforum",
"title": "Deforum Nodes",
"reference": "https://github.com/XmYx/deforum-comfy-nodes",
"files": [
"https://github.com/XmYx/deforum-comfy-nodes"
],
"install_type": "git-clone",
"description": "Official Deforum animation pipeline tools that provide a unique way to create frame-by-frame generative motion art."
},
{
"author": "adbrasi",
"title": "ComfyUI-TrashNodes-DownloadHuggingface",
"reference": "https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface",
"files": [
"https://github.com/adbrasi/ComfyUI-TrashNodes-DownloadHuggingface"
],
"install_type": "git-clone",
"description": "ComfyUI-TrashNodes-DownloadHuggingface is a ComfyUI node designed to facilitate the download of models you have just trained and uploaded to Hugging Face. This node is particularly useful for users who employ Google Colab for training and need to quickly download their models for deployment."
},
{
"author": "DonBaronFactory",
"title": "ComfyUI-Cre8it-Nodes",
"reference": "https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes",
"files": [
"https://github.com/DonBaronFactory/ComfyUI-Cre8it-Nodes"
],
"install_type": "git-clone",
"description": "Nodes:CRE8IT Serial Prompter, CRE8IT Apply Serial Prompter, CRE8IT Image Sizer. A few simple nodes to facilitate working wiht ComfyUI Workflows"
},
{
"author": "dezi-ai",
"title": "ComfyUI Animate LCM",
"reference": "https://github.com/dezi-ai/ComfyUI-AnimateLCM",
"files": [
"https://github.com/dezi-ai/ComfyUI-AnimateLCM"
],
"install_type": "git-clone",
"description": "ComfyUI implementation for [a/AnimateLCM](https://animatelcm.github.io/) [[a/paper](https://arxiv.org/abs/2402.00769)]."
},
{
"author": "kadirnar",
"title": "ComfyUI-Transformers",
"reference": "https://github.com/kadirnar/ComfyUI-Transformers",
"files": [
"https://github.com/kadirnar/ComfyUI-Transformers"
],
"install_type": "git-clone",
"description": "ComfyUI-Transformers is a cutting-edge project combining the power of computer vision and natural language processing to create intuitive and user-friendly interfaces. Our goal is to make technology more accessible and engaging."
},
{
"author": "chaojie",
"title": "ComfyUI-DynamiCrafter",
"reference": "https://github.com/chaojie/ComfyUI-DynamiCrafter",
"files": [
"https://github.com/chaojie/ComfyUI-DynamiCrafter"
],
"install_type": "git-clone",
"description": "Better Dynamic, Higher Resolution, and Stronger Coherence!"
},
{
"author": "bilal-arikan",
"title": "ComfyUI_TextAssets",
"reference": "https://github.com/bilal-arikan/ComfyUI_TextAssets",
"files": [
"https://github.com/bilal-arikan/ComfyUI_TextAssets"
],
"install_type": "git-clone",
"description": "With this node you can upload text files to input folder from your local computer."
},
{
"author": "ZHO-ZHO-ZHO",
"title": "ComfyUI SegMoE",
"reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE",
"files": [
"https://github.com/ZHO-ZHO-ZHO/ComfyUI-SegMoE"
],
"install_type": "git-clone",
"description": "Unofficial implementation of [a/SegMoE: Segmind Mixture of Diffusion Experts](https://github.com/segmind/segmoe) for ComfyUI"
},
{
"author": "ZHO-ZHO-ZHO",
"title": "ComfyUI-SVD-ZHO (WIP)",
"reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO",
"files": [
"https://github.com/ZHO-ZHO-ZHO/ComfyUI-SVD-ZHO"
],
"install_type": "git-clone",
"description": "My Workflows + Auxiliary nodes for Stable Video Diffusion (SVD)"
},
{
"author": "MarkoCa1",
"title": "ComfyUI_Segment_Mask",
"reference": "https://github.com/MarkoCa1/ComfyUI_Segment_Mask",
"files": [
"https://github.com/MarkoCa1/ComfyUI_Segment_Mask"
],
"install_type": "git-clone",
"description": "Mask cutout based on Segment Anything."
},
{
"author": "antrobot",
"title": "antrobots-comfyUI-nodepack",
"reference": "https://github.com/antrobot1234/antrobots-comfyUI-nodepack",
"files": [
"https://github.com/antrobot1234/antrobots-comfyUI-nodepack"
],
"install_type": "git-clone",
"description": "A small node pack containing various things I felt like ought to be in base comfy-UI. Currently includes Some image handling nodes to help with inpainting, a version of KSampler (advanced) that allows for denoise, and a node that can swap it's inputs. Remember to make an issue if you experience any bugs or errors!"
},
{
"author": "dfl",
"title": "comfyui-clip-with-break",
"reference": "https://github.com/dfl/comfyui-clip-with-break",
"files": [
"https://github.com/dfl/comfyui-clip-with-break"
],
"install_type": "git-clone",
"description": "Clip text encoder with BREAK formatting like A1111 (uses conditioning concat)"
},
{
"author": "yffyhk",
"title": "comfyui_auto_danbooru",
"reference": "https://github.com/yffyhk/comfyui_auto_danbooru",
"files": [
"https://github.com/yffyhk/comfyui_auto_danbooru"
],
"install_type": "git-clone",
"description": "Nodes: Get Danbooru, Tag Encode"
},
{
"author": "Clybius",
"title": "ComfyUI Extra Samplers",
"reference": "https://github.com/Clybius/ComfyUI-Extra-Samplers",
"files": [
"https://github.com/Clybius/ComfyUI-Extra-Samplers"
],
"install_type": "git-clone",
"description": "Nodes: SamplerCustomNoise, SamplerCustomNoiseDuo, SamplerCustomModelMixtureDuo, SamplerRES_Momentumized, SamplerDPMPP_DualSDE_Momentumized, SamplerCLYB_4M_SDE_Momentumized, SamplerTTM, SamplerLCMCustom\nThis extension provides various custom samplers not offered by the default nodes in ComfyUI."
},
{
"author": "ttulttul",
"title": "ComfyUI-Tensor-Operations",
"reference": "https://github.com/ttulttul/ComfyUI-Tensor-Operations",
"files": [
"https://github.com/ttulttul/ComfyUI-Tensor-Operations"
],
"install_type": "git-clone",
"description": "This repo contains nodes for ComfyUI that implement some helpful operations on tensors, such as normalization."
},
{
"author": "davask",
"title": "🐰 MarasIT Nodes",
"reference": "https://github.com/davask/ComfyUI-MarasIT-Nodes",
"files": [
"https://github.com/davask/ComfyUI-MarasIT-Nodes"
],
"install_type": "git-clone",
"description": "This is a revised version of the Bus node from the [a/Was Node Suite](https://github.com/WASasquatch/was-node-suite-comfyui) to integrate more input/output."
},
{
"author": "chaojie",
"title": "ComfyUI-Panda3d",
"reference": "https://github.com/chaojie/ComfyUI-Panda3d",
"files": [
"https://github.com/chaojie/ComfyUI-Panda3d"
],
"install_type": "git-clone",
"description": "ComfyUI 3d engine"
},
{
"author": "shadowcz007",
"title": "Consistency Decoder",
"reference": "https://github.com/shadowcz007/comfyui-consistency-decoder",
"files": [
"https://github.com/shadowcz007/comfyui-consistency-decoder"
],
"install_type": "git-clone",
"description": "[a/openai Consistency Decoder](https://github.com/openai/consistencydecoder). After downloading the [a/OpenAI VAE model](https://openaipublic.azureedge.net/diff-vae/c9cebd3132dd9c42936d803e33424145a748843c8f716c0814838bdc8a2fe7cb/decoder.pt), place it in the `model/vae` directory for use."
},
{
"author": "pkpk",
"title": "ComfyUI-TemporaryLoader",
"reference": "https://github.com/pkpkTech/ComfyUI-TemporaryLoader",
"files": [
"https://github.com/pkpkTech/ComfyUI-TemporaryLoader"
],
"install_type": "git-clone",
"description": "This is a custom node of ComfyUI that downloads and loads models from the input URL. The model is temporarily downloaded into memory and not saved to storage.\nThis could be useful when trying out models or when using various models on machines with limited storage. Since the model is downloaded into memory, expect higher memory usage than usual."
},
{
"author": "TemryL",
"title": "ComfyS3: Amazon S3 Integration for ComfyUI",
"reference": "https://github.com/TemryL/ComfyS3",
"files": [
"https://github.com/TemryL/ComfyS3"
],
"install_type": "git-clone",
"description": "ComfyS3 seamlessly integrates with [a/Amazon S3](https://aws.amazon.com/en/s3/) in ComfyUI. This open-source project provides custom nodes for effortless loading and saving of images, videos, and checkpoint models directly from S3 buckets within the ComfyUI graph interface."
},
{
"author": "trumanwong",
"title": "ComfyUI-NSFW-Detection",
"reference": "https://github.com/trumanwong/ComfyUI-NSFW-Detection",
"files": [
"https://github.com/trumanwong/ComfyUI-NSFW-Detection"
],
"install_type": "git-clone",
"description": "An implementation of NSFW Detection for ComfyUI"
},
{
"author": "AIGODLIKE",
"title": "AIGODLIKE-ComfyUI-Studio",
"reference": "https://github.com/AIGODLIKE/AIGODLIKE-ComfyUI-Studio",
"files": [
"https://github.com/AIGODLIKE/AIGODLIKE-ComfyUI-Studio"
],
"install_type": "git-clone",
"description": "Improve the interactive experience of using ComfyUI, such as making the loading of ComfyUI models more intuitive and making it easier to create model thumbnails"
},
{
"author": "Chan-0312",
"title": "ComfyUI-IPAnimate",
"reference": "https://github.com/Chan-0312/ComfyUI-IPAnimate",
"files": [
"https://github.com/Chan-0312/ComfyUI-IPAnimate"
],
"install_type": "git-clone",
"description": "This is a project that generates videos frame by frame based on IPAdapter+ControlNet. Unlike [a/Steerable-motion](https://github.com/banodoco/Steerable-Motion), we do not rely on AnimateDiff. This decision is primarily due to the fact that the videos generated by AnimateDiff are often blurry. Through frame-by-frame control using IPAdapter+ControlNet, we can produce higher definition and more controllable videos."
},
{
"author": "LyazS",
"title": "Anime Character Segmentation node for comfyui",
"reference": "https://github.com/LyazS/comfyui-anime-seg",
"files": [
"https://github.com/LyazS/comfyui-anime-seg"
],
"install_type": "git-clone",
"description": "A Anime Character Segmentation node for comfyui, based on [this hf space](https://huggingface.co/spaces/skytnt/anime-remove-background)."
},
{
"author": "zhongpei",
"title": "ComfyUI for InstructIR",
"reference": "https://github.com/zhongpei/ComfyUI-InstructIR",
"files": [
"https://github.com/zhongpei/ComfyUI-InstructIR"
],
"install_type": "git-clone",
"description": "Enhancing Image Restoration. (ref:[a/InstructIR](https://github.com/mv-lab/InstructIR))"
},
{
"author": "nosiu",
"title": "ComfyUI InstantID Faceswapper",
"reference": "https://github.com/nosiu/comfyui-instantId-faceswap",
"files": [
"https://github.com/nosiu/comfyui-instantId-faceswap"
],
"install_type": "git-clone",
"description": "Implementation of [a/faceswap](https://github.com/nosiu/InstantID-faceswap/tree/main) based on [a/InstantID](https://github.com/InstantID/InstantID) for ComfyUI. Allows usage of [a/LCM Lora](https://huggingface.co/latent-consistency/lcm-lora-sdxl) which can produce good results in only a few generation steps.\nNOTE:Works ONLY with SDXL checkpoints."
},
{
"author": "ricklove",
"title": "comfyui-ricklove",
"reference": "https://github.com/ricklove/comfyui-ricklove",
"files": [
"https://github.com/ricklove/comfyui-ricklove"
],
"install_type": "git-clone",
"description": "Nodes: Image Crop and Resize by Mask, Image Uncrop, Image Shadow, Optical Flow (Dip), Warp Image with Flow, Image Threshold (Channels), Finetune Variable, Finetune Analyze, Finetune Analyze Batch, ... Misc ComfyUI nodes by Rick Love"
},
{
"author": "chaojie",
"title": "ComfyUI-Pymunk",
"reference": "https://github.com/chaojie/ComfyUI-Pymunk",
"files": [
"https://github.com/chaojie/ComfyUI-Pymunk"
],
"install_type": "git-clone",
"description": "Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python"
},
{
"author": "ZHO-ZHO-ZHO",
"title": "ComfyUI-Qwen-VL-API",
"reference": "https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API",
"files": [
"https://github.com/ZHO-ZHO-ZHO/ComfyUI-Qwen-VL-API"
],
"install_type": "git-clone",
"description": "QWen-VL-Plus & QWen-VL-Max in ComfyUI"
},
{
"author": "shadowcz007",
"title": "comfyui-ultralytics-yolo",
"reference": "https://github.com/shadowcz007/comfyui-ultralytics-yolo",
"files": [
"https://github.com/shadowcz007/comfyui-ultralytics-yolo"
],
"install_type": "git-clone",
"description": "Nodes:Detect By Label."
},
{
"author": "StartHua",
"title": "ComfyUI_Seg_VITON",
"reference": "https://github.com/StartHua/ComfyUI_Seg_VITON",
"files": [
"https://github.com/StartHua/ComfyUI_Seg_VITON"
],
"install_type": "git-clone",
"description": "Nodes:segformer_clothes, segformer_agnostic, segformer_remove_bg, stabel_vition. Nodes for model dress up."
},
{
"author": "HaydenReeve",
"title": "ComfyUI Better Strings",
"reference": "https://github.com/HaydenReeve/ComfyUI-Better-Strings",
"files": [
"https://github.com/HaydenReeve/ComfyUI-Better-Strings"
],
"install_type": "git-clone",
"description": "Strings should be easy, and simple. This extension aims to provide a set of nodes that make working with strings in ComfyUI a little bit easier."
},
{
"author": "Loewen-Hob",
"title": "Rembg Background Removal Node for ComfyUI",
"reference": "https://github.com/Loewen-Hob/rembg-comfyui-node-better",
"files": [
"https://github.com/Loewen-Hob/rembg-comfyui-node-better"
],
"install_type": "git-clone",
"description": "This custom node is based on the [a/rembg-comfyui-node](https://github.com/Jcd1230/rembg-comfyui-node) but provides additional functionality to select ONNX models."
},
{
"author": "mape",
"title": "mape's ComfyUI Helpers",
"reference": "https://github.com/mape/ComfyUI-mape-Helpers",
"files": [
"https://github.com/mape/ComfyUI-mape-Helpers"
],
"install_type": "git-clone",
"description": "A project that combines all my qualify of life improvements for ComyUI. For more info visit: [a/https://comfyui.ma.pe/](https://comfyui.ma.pe/)"
}
]
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/extension-node-map.json
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workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/new/model-list.json
-677
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@@ -1,677 +0,0 @@
{
"models": [
{
"name": "SDXL Lightning LoRA (2step)",
"type": "lora",
"base": "SDXL",
"save_path": "loras/SDXL-Lightning",
"description": "SDXL Lightning LoRA (2step)",
"reference": "https://huggingface.co/ByteDance/SDXL-Lightning",
"filename": "sdxl_lightning_2step_lora.safetensors",
"url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_2step_lora.safetensors"
},
{
"name": "SDXL Lightning LoRA (4step)",
"type": "lora",
"base": "SDXL",
"save_path": "loras/SDXL-Lightning",
"description": "SDXL Lightning LoRA (4step)",
"reference": "https://huggingface.co/ByteDance/SDXL-Lightning",
"filename": "sdxl_lightning_4step_lora.safetensors",
"url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_4step_lora.safetensors"
},
{
"name": "SDXL Lightning LoRA (8step)",
"type": "lora",
"base": "SDXL",
"save_path": "loras/SDXL-Lightning",
"description": "SDXL Lightning LoRA (8tep)",
"reference": "https://huggingface.co/ByteDance/SDXL-Lightning",
"filename": "sdxl_lightning_8step_lora.safetensors",
"url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_8step_lora.safetensors"
},
{
"name": "shape_predictor_68_face_landmarks.dat [Face Analysis]",
"type": "Shape Predictor",
"base": "DLIB",
"save_path": "custom_nodes/ComfyUI_FaceAnalysis/dlib",
"description": "To use the Face Analysis for ComfyUI custom node, installation of this model is needed.",
"reference": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/tree/main",
"filename": "shape_predictor_68_face_landmarks.dat",
"url": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/resolve/main/shape_predictor_68_face_landmarks.dat"
},
{
"name": "dlib_face_recognition_resnet_model_v1.dat [Face Analysis]",
"type": "Face Recognition",
"base": "DLIB",
"save_path": "custom_nodes/ComfyUI_FaceAnalysis/dlib",
"description": "To use the Face Analysis for ComfyUI custom node, installation of this model is needed.",
"reference": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/tree/main",
"filename": "dlib_face_recognition_resnet_model_v1.dat",
"url": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/resolve/main/dlib_face_recognition_resnet_model_v1.dat"
},
{
"name": "efficient_sam_s_cpu.jit [ComfyUI-YoloWorld-EfficientSAM]",
"type": "efficient_sam",
"base": "efficient_sam",
"save_path": "custom_nodes/ComfyUI-YoloWorld-EfficientSAM",
"description": "Install efficient_sam_s_cpu.jit into ComfyUI-YoloWorld-EfficientSAM",
"reference": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/tree/main",
"filename": "efficient_sam_s_cpu.jit",
"url": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/resolve/main/efficient_sam_s_cpu.jit"
},
{
"name": "efficient_sam_s_gpu.jit [ComfyUI-YoloWorld-EfficientSAM]",
"type": "efficient_sam",
"base": "efficient_sam",
"save_path": "custom_nodes/ComfyUI-YoloWorld-EfficientSAM",
"description": "Install efficient_sam_s_gpu.jit into ComfyUI-YoloWorld-EfficientSAM",
"reference": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/tree/main",
"filename": "efficient_sam_s_gpu.jit",
"url": "https://huggingface.co/camenduru/YoloWorld-EfficientSAM/resolve/main/efficient_sam_s_gpu.jit"
},
{
"name": "stabilityai/comfyui_checkpoints/stable_cascade_stage_b.safetensors",
"type": "checkpoints",
"base": "Stable Cascade",
"save_path": "checkpoints/Stable-Cascade",
"description": "[4.55GB] Stable Cascade stage_b checkpoints",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stable_cascade_stage_b.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_b.safetensors"
},
{
"name": "stabilityai/comfyui_checkpoints/stable_cascade_stage_c.safetensors",
"type": "checkpoints",
"base": "Stable Cascade",
"save_path": "checkpoints/Stable-Cascade",
"description": "[9.22GB] Stable Cascade stage_c checkpoints",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stable_cascade_stage_c.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_c.safetensors"
},
{
"name": "stabilityai/Stable Cascade: effnet_encoder.safetensors (VAE)",
"type": "VAE",
"base": "Stable Cascade",
"save_path": "vae/Stable-Cascade",
"description": "[81.5MB] Stable Cascade: effnet_encoder.\nVAE encoder for stage_c latent.",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "effnet_encoder.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/effnet_encoder.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_a.safetensors (VAE)",
"type": "VAE",
"base": "Stable Cascade",
"save_path": "vae/Stable-Cascade",
"description": "[73.7MB] Stable Cascade: stage_a",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_a.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_a.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_b.safetensors (UNET)",
"type": "unet",
"base": "Stable Cascade",
"save_path": "unet/Stable-Cascade",
"description": "[6.25GB] Stable Cascade: stage_b",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_b.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_b_bf16.safetensors (UNET)",
"type": "unet",
"base": "Stable Cascade",
"save_path": "unet/Stable-Cascade",
"description": "[3.13GB] Stable Cascade: stage_b/bf16",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_b_bf16.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_bf16.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_b_lite.safetensors (UNET)",
"type": "unet",
"base": "Stable Cascade",
"save_path": "unet/Stable-Cascade",
"description": "[2.8GB] Stable Cascade: stage_b/lite",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_b_lite.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_lite.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_b_lite.safetensors (UNET)",
"type": "unet",
"base": "Stable Cascade",
"save_path": "unet/Stable-Cascade",
"description": "[1.4GB] Stable Cascade: stage_b/bf16,lite",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_b_lite_bf16.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_lite_bf16.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_c.safetensors (UNET)",
"type": "unet",
"base": "Stable Cascade",
"save_path": "unet/Stable-Cascade",
"description": "[14.4GB] Stable Cascade: stage_c",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_c.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_c_bf16.safetensors (UNET)",
"type": "unet",
"base": "Stable Cascade",
"save_path": "unet/Stable-Cascade",
"description": "[7.18GB] Stable Cascade: stage_c/bf16",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_c_bf16.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_bf16.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_c_lite.safetensors (UNET)",
"type": "unet",
"base": "Stable Cascade",
"save_path": "unet/Stable-Cascade",
"description": "[4.12GB] Stable Cascade: stage_c/lite",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_c_lite.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_lite.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_c_lite.safetensors (UNET)",
"type": "unet",
"base": "Stable Cascade",
"save_path": "unet/Stable-Cascade",
"description": "[2.06GB] Stable Cascade: stage_c/bf16,lite",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_c_lite_bf16.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_lite_bf16.safetensors"
},
{
"name": "stabilityai/Stable Cascade: text_encoder (CLIP)",
"type": "clip",
"base": "Stable Cascade",
"save_path": "clip/Stable-Cascade",
"description": "[1.39GB] Stable Cascade: text_encoder",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "model.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/text_encoder/model.safetensors"
},
{
"name": "1k3d68.onnx",
"type": "insightface",
"base": "inswapper",
"save_path": "insightface/models/antelopev2",
"description": "Antelopev2 1k3d68.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
"reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
"filename": "1k3d68.onnx",
"url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/1k3d68.onnx"
},
{
"name": "2d106det.onnx",
"type": "insightface",
"base": "inswapper",
"save_path": "insightface/models/antelopev2",
"description": "Antelopev2 2d106det.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
"reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
"filename": "2d106det.onnx",
"url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/2d106det.onnx"
},
{
"name": "genderage.onnx",
"type": "insightface",
"base": "inswapper",
"save_path": "insightface/models/antelopev2",
"description": "Antelopev2 genderage.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
"reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
"filename": "genderage.onnx",
"url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/genderage.onnx"
},
{
"name": "glintr100.onnx",
"type": "insightface",
"base": "inswapper",
"save_path": "insightface/models/antelopev2",
"description": "Antelopev2 glintr100.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
"reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
"filename": "glintr100.onnx",
"url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/glintr100.onnx"
},
{
"name": "scrfd_10g_bnkps.onnx",
"type": "insightface",
"base": "inswapper",
"save_path": "insightface/models/antelopev2",
"description": "Antelopev2 scrfd_10g_bnkps.onnx model for InstantId. (InstantId needs all Antelopev2 models)",
"reference": "https://github.com/cubiq/ComfyUI_InstantID#installation",
"filename": "scrfd_10g_bnkps.onnx",
"url": "https://huggingface.co/MonsterMMORPG/tools/resolve/main/scrfd_10g_bnkps.onnx"
},
{
"name": "photomaker-v1.bin",
"type": "photomaker",
"base": "SDXL",
"save_path": "photomaker",
"description": "PhotoMaker model. This model is compatible with SDXL.",
"reference": "https://huggingface.co/TencentARC/PhotoMaker",
"filename": "photomaker-v1.bin",
"url": "https://huggingface.co/TencentARC/PhotoMaker/resolve/main/photomaker-v1.bin"
},
{
"name": "ip-adapter-faceid_sdxl.bin",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "IP-Adapter-FaceID Model (SDXL) [ipadapter]",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid_sdxl.bin",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sdxl.bin"
},
{
"name": "ip-adapter-faceid-plusv2_sdxl.bin",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "IP-Adapter-FaceID Plus Model (SDXL) [ipadapter]",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid-plusv2_sdxl.bin",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sdxl.bin"
},
{
"name": "ip-adapter-faceid_sdxl_lora.safetensors",
"type": "lora",
"base": "SDXL",
"save_path": "loras/ipadapter",
"description": "IP-Adapter-FaceID LoRA Model (SDXL) [ipadapter]",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid_sdxl_lora.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sdxl_lora.safetensors"
},
{
"name": "ip-adapter-faceid-plusv2_sdxl_lora.safetensors",
"type": "lora",
"base": "SDXL",
"save_path": "loras/ipadapter",
"description": "IP-Adapter-FaceID-Plus V2 LoRA Model (SDXL) [ipadapter]",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid-plusv2_sdxl_lora.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sdxl_lora.safetensors"
},
{
"name": "TencentARC/motionctrl.pth",
"type": "checkpoints",
"base": "MotionCtrl",
"save_path": "checkpoints/motionctrl",
"description": "To use the ComfyUI-MotionCtrl extension, downloading this model is required.",
"reference": "https://huggingface.co/TencentARC/MotionCtrl",
"filename": "motionctrl.pth",
"url": "https://huggingface.co/TencentARC/MotionCtrl/resolve/main/motionctrl.pth"
},
{
"name": "ip-adapter-faceid-plusv2_sd15.bin",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "IP-Adapter-FaceID-Plus V2 Model (SD1.5)",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid-plusv2_sd15.bin",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sd15.bin"
},
{
"name": "ip-adapter-faceid-plusv2_sd15_lora.safetensors",
"type": "lora",
"base": "SD1.5",
"save_path": "loras/ipadapter",
"description": "IP-Adapter-FaceID-Plus V2 LoRA Model (SD1.5)",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid-plusv2_sd15_lora.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sd15_lora.safetensors"
},
{
"name": "ip-adapter-faceid-plus_sd15_lora.safetensors",
"type": "lora",
"base": "SD1.5",
"save_path": "loras/ipadapter",
"description": "IP-Adapter-FaceID Plus LoRA Model (SD1.5) [ipadapter]",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid-plus_sd15_lora.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plus_sd15_lora.safetensors"
},
{
"name": "ControlNet-HandRefiner-pruned (inpaint-depth-hand; fp16)",
"type": "controlnet",
"base": "SD1.5",
"save_path": "default",
"description": "This inpaint-depth controlnet model is specialized for the hand refiner.",
"reference": "https://huggingface.co/hr16/ControlNet-HandRefiner-pruned",
"filename": "control_sd15_inpaint_depth_hand_fp16.safetensors",
"url": "https://huggingface.co/hr16/ControlNet-HandRefiner-pruned/resolve/main/control_sd15_inpaint_depth_hand_fp16.safetensors"
},
{
"name": "stabilityai/stable-diffusion-x4-upscaler",
"type": "checkpoints",
"base": "upscale",
"save_path": "checkpoints/upscale",
"description": "[3.53GB] This upscaling model is a latent text-guided diffusion model and should be used with SD_4XUpscale_Conditioning and KSampler.",
"reference": "https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler",
"filename": "x4-upscaler-ema.safetensors",
"url": "https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler/resolve/main/x4-upscaler-ema.safetensors"
},
{
"name": "LDSR(Latent Diffusion Super Resolution)",
"type": "upscale",
"base": "upscale",
"save_path": "upscale_models/ldsr",
"description": "LDSR upscale model. Through the [a/ComfyUI-Flowty-LDSR](https://github.com/flowtyone/ComfyUI-Flowty-LDSR) extension, the upscale model can be utilized.",
"reference": "https://github.com/CompVis/latent-diffusion",
"filename": "last.ckpt",
"url": "https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1"
},
{
"name": "control_boxdepth_LooseControlfp16 (fp16)",
"type": "controlnet",
"base": "SD1.5",
"save_path": "default",
"description": "Loose ControlNet model",
"reference": "https://huggingface.co/ioclab/LooseControl_WebUICombine",
"filename": "control_boxdepth_LooseControlfp16.safetensors",
"url": "https://huggingface.co/ioclab/LooseControl_WebUICombine/resolve/main/control_boxdepth_LooseControlfp16.safetensors"
},
{
"name": "ip-adapter-faceid-portrait_sd15.bin",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "IP-Adapter-FaceID Portrait Model (SD1.5) [ipadapter]",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid-portrait_sd15.bin",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait_sd15.bin"
},
{
"name": "ip-adapter-faceid-plus_sd15.bin",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "IP-Adapter-FaceID Plus Model (SD1.5) [ipadapter]",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid-plus_sd15.bin",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plus_sd15.bin"
},
{
"name": "ip-adapter-faceid_sd15.bin",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "IP-Adapter-FaceID Model (SD1.5)",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid_sd15.bin",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sd15.bin"
},
{
"name": "ip-adapter-faceid_sd15_lora.safetensors",
"type": "lora",
"base": "SD1.5",
"save_path": "loras/ipadapter",
"description": "IP-Adapter-FaceID LoRA Model (SD1.5)",
"reference": "https://huggingface.co/h94/IP-Adapter-FaceID",
"filename": "ip-adapter-faceid_sd15_lora.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sd15_lora.safetensors"
},
{
"name": "LongAnimatediff/lt_long_mm_16_64_frames_v1.1.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
"type": "animatediff",
"base": "SD1.x",
"save_path": "animatediff_models",
"description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
"reference": "https://huggingface.co/Lightricks/LongAnimateDiff",
"filename": "lt_long_mm_16_64_frames_v1.1.ckpt",
"url": "https://huggingface.co/Lightricks/LongAnimateDiff/resolve/main/lt_long_mm_16_64_frames_v1.1.ckpt"
},
{
"name": "animatediff/v3_sd15_sparsectrl_rgb.ckpt (ComfyUI-AnimateDiff-Evolved)",
"type": "controlnet",
"base": "SD1.x",
"save_path": "controlnet/SD1.5/animatediff",
"description": "AnimateDiff SparseCtrl RGB ControlNet model",
"reference": "https://huggingface.co/guoyww/animatediff",
"filename": "v3_sd15_sparsectrl_rgb.ckpt",
"url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_sparsectrl_rgb.ckpt"
},
{
"name": "animatediff/v3_sd15_sparsectrl_scribble.ckpt",
"type": "controlnet",
"base": "SD1.x",
"save_path": "controlnet/SD1.5/animatediff",
"description": "AnimateDiff SparseCtrl Scribble ControlNet model",
"reference": "https://huggingface.co/guoyww/animatediff",
"filename": "v3_sd15_sparsectrl_scribble.ckpt",
"url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_sparsectrl_scribble.ckpt"
},
{
"name": "animatediff/v3_sd15_mm.ckpt (ComfyUI-AnimateDiff-Evolved)",
"type": "animatediff",
"base": "SD1.x",
"save_path": "custom_nodes/ComfyUI-AnimateDiff-Evolved/models",
"description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
"reference": "https://huggingface.co/guoyww/animatediff",
"filename": "v3_sd15_mm.ckpt",
"url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_mm.ckpt"
},
{
"name": "animatediff/v3_sd15_adapter.ckpt",
"type": "lora",
"base": "SD1.x",
"save_path": "loras/SD1.5/animatediff",
"description": "AnimateDiff Adapter LoRA (SD1.5)",
"reference": "https://huggingface.co/guoyww/animatediff",
"filename": "v3_sd15_adapter.ckpt",
"url": "https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_adapter.ckpt"
},
{
"name": "Segmind-Vega",
"type": "checkpoints",
"base": "segmind-vega",
"save_path": "checkpoints/segmind-vega",
"description": "The Segmind-Vega Model is a distilled version of the Stable Diffusion XL (SDXL), offering a remarkable 70% reduction in size and an impressive 100% speedup while retaining high-quality text-to-image generation capabilities.",
"reference": "https://huggingface.co/segmind/Segmind-Vega",
"filename": "segmind-vega.safetensors",
"url": "https://huggingface.co/segmind/Segmind-Vega/resolve/main/segmind-vega.safetensors"
},
{
"name": "Segmind-VegaRT - Latent Consistency Model (LCM) LoRA of Segmind-Vega",
"type": "lora",
"base": "segmind-vega",
"save_path": "loras/segmind-vega",
"description": "Segmind-VegaRT a distilled consistency adapter for Segmind-Vega that allows to reduce the number of inference steps to only between 2 - 8 steps.",
"reference": "https://huggingface.co/segmind/Segmind-VegaRT",
"filename": "pytorch_lora_weights.safetensors",
"url": "https://huggingface.co/segmind/Segmind-VegaRT/resolve/main/pytorch_lora_weights.safetensors"
},
{
"name": "stabilityai/Stable Zero123",
"type": "zero123",
"base": "zero123",
"save_path": "checkpoints/zero123",
"description": "Stable Zero123 is a model for view-conditioned image generation based on [a/Zero123](https://github.com/cvlab-columbia/zero123).",
"reference": "https://huggingface.co/stabilityai/stable-zero123",
"filename": "stable_zero123.ckpt",
"url": "https://huggingface.co/stabilityai/stable-zero123/resolve/main/stable_zero123.ckpt"
},
{
"name": "LongAnimatediff/lt_long_mm_32_frames.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
"type": "animatediff",
"base": "SD1.x",
"save_path": "animatediff_models",
"description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
"reference": "https://huggingface.co/Lightricks/LongAnimateDiff",
"filename": "lt_long_mm_32_frames.ckpt",
"url": "https://huggingface.co/Lightricks/LongAnimateDiff/resolve/main/lt_long_mm_32_frames.ckpt"
},
{
"name": "LongAnimatediff/lt_long_mm_16_64_frames.ckpt (ComfyUI-AnimateDiff-Evolved) (Updated path)",
"type": "animatediff",
"base": "SD1.x",
"save_path": "animatediff_models",
"description": "Pressing 'install' directly downloads the model from the Kosinkadink/ComfyUI-AnimateDiff-Evolved extension node.",
"reference": "https://huggingface.co/Lightricks/LongAnimateDiff",
"filename": "lt_long_mm_16_64_frames.ckpt",
"url": "https://huggingface.co/Lightricks/LongAnimateDiff/resolve/main/lt_long_mm_16_64_frames.ckpt"
},
{
"name": "ip-adapter_sd15.safetensors",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter_sd15.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.safetensors"
},
{
"name": "ip-adapter_sd15_light.safetensors",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter_sd15_light.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_light.safetensors"
},
{
"name": "ip-adapter_sd15_vit-G.safetensors",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter_sd15_vit-G.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_vit-G.safetensors"
},
{
"name": "ip-adapter-plus_sd15.safetensors",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter-plus_sd15.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus_sd15.safetensors"
},
{
"name": "ip-adapter-plus-face_sd15.safetensors",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter-plus-face_sd15.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus-face_sd15.safetensors"
},
{
"name": "ip-adapter-full-face_sd15.safetensors",
"type": "IP-Adapter",
"base": "SD1.5",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter-full-face_sd15.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-full-face_sd15.safetensors"
},
{
"name": "ip-adapter_sdxl.safetensors",
"type": "IP-Adapter",
"base": "SDXL",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter_sdxl.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl.safetensors"
},
{
"name": "ip-adapter_sdxl_vit-h.safetensors",
"type": "IP-Adapter",
"base": "SDXL",
"save_path": "ipadapter",
"description": "This model requires the use of the SD1.5 encoder despite being for SDXL checkpoints",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter_sdxl_vit-h.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl_vit-h.safetensors"
},
{
"name": "ip-adapter-plus_sdxl_vit-h.safetensors",
"type": "IP-Adapter",
"base": "SDXL",
"save_path": "ipadapter",
"description": "This model requires the use of the SD1.5 encoder despite being for SDXL checkpoints",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter-plus_sdxl_vit-h.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.safetensors"
},
{
"name": "ip-adapter-plus-face_sdxl_vit-h.safetensors",
"type": "IP-Adapter",
"base": "SDXL",
"save_path": "ipadapter",
"description": "This model requires the use of the SD1.5 encoder despite being for SDXL checkpoints",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "ip-adapter-plus-face_sdxl_vit-h.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus-face_sdxl_vit-h.safetensors"
},
{
"name": "SDXL-Turbo 1.0 (fp16)",
"type": "checkpoints",
"base": "SDXL",
"save_path": "checkpoints/SDXL-TURBO",
"description": "[6.9GB] SDXL-Turbo 1.0 fp16",
"reference": "https://huggingface.co/stabilityai/sdxl-turbo",
"filename": "sd_xl_turbo_1.0_fp16.safetensors",
"url": "https://huggingface.co/stabilityai/sdxl-turbo/resolve/main/sd_xl_turbo_1.0_fp16.safetensors"
},
{
"name": "SDXL-Turbo 1.0",
"type": "checkpoints",
"base": "SDXL",
"save_path": "checkpoints/SDXL-TURBO",
"description": "[13.9GB] SDXL-Turbo 1.0",
"reference": "https://huggingface.co/stabilityai/sdxl-turbo",
"filename": "sd_xl_turbo_1.0.safetensors",
"url": "https://huggingface.co/stabilityai/sdxl-turbo/resolve/main/sd_xl_turbo_1.0.safetensors"
},
{
"name": "Stable Video Diffusion Image-to-Video",
"type": "checkpoints",
"base": "SVD",
"save_path": "checkpoints/SVD",
"description": "Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.\nNOTE: 14 frames @ 576x1024",
"reference": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid",
"filename": "svd.safetensors",
"url": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid/resolve/main/svd.safetensors"
},
{
"name": "Stable Video Diffusion Image-to-Video (XT)",
"type": "checkpoints",
"base": "SVD",
"save_path": "checkpoints/SVD",
"description": "Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.\nNOTE: 25 frames @ 576x1024 ",
"reference": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt",
"filename": "svd_xt.safetensors",
"url": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt/resolve/main/svd_xt.safetensors"
}
]
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/custom-node-list.json
-134
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@@ -1,134 +0,0 @@
{
"custom_nodes": [
{
"author": "Suzie1",
"title": "Guide To Making Custom Nodes in ComfyUI",
"reference": "https://github.com/Suzie1/ComfyUI_Guide_To_Making_Custom_Nodes",
"files": [
"https://github.com/Suzie1/ComfyUI_Guide_To_Making_Custom_Nodes"
],
"install_type": "git-clone",
"description": "There is a small node pack attached to this guide. This includes the init file and 3 nodes associated with the tutorials."
},
{
"author": "dynamixar",
"title": "Atluris",
"reference": "https://github.com/dynamixar/Atluris",
"files": [
"https://github.com/dynamixar/Atluris"
],
"install_type": "git-clone",
"description": "Nodes:Random Line"
},
{
"author": "et118",
"title": "ComfyUI-ElGogh-Nodes",
"reference": "https://github.com/et118/ComfyUI-ElGogh-Nodes",
"files": [
"https://github.com/et118/ComfyUI-ElGogh-Nodes"
],
"install_type": "git-clone",
"description": "Nodes:ElGogh Positive Prompt, ElGogh NEGATIVE Prompt, ElGogh Empty Latent Image, ElGogh Checkpoint Loader Simple"
},
{
"author": "LarryJane491",
"title": "Custom-Node-Base",
"reference": "https://github.com/LarryJane491/Custom-Node-Base",
"files": [
"https://github.com/LarryJane491/Custom-Node-Base"
],
"install_type": "git-clone",
"description": "This project is an `empty` custom node that is already in its own folder. It serves as a base to build any custom node. Whenever you want to create a custom node, you can download that, put it in custom_nodes, then you just have to change the names and fill it with code!"
},
{
"author": "foxtrot-roger",
"title": "comfyui-custom-nodes",
"reference": "https://github.com/foxtrot-roger/comfyui-custom-nodes",
"files": [
"https://github.com/foxtrot-roger/comfyui-custom-nodes"
],
"install_type": "git-clone",
"description": "Tutorial nodes"
},
{
"author": "GraftingRayman",
"title": "ComfyUI-Trajectory",
"reference": "https://github.com/GraftingRayman/ComfyUI-Trajectory",
"files": [
"https://github.com/GraftingRayman/ComfyUI-Trajectory"
],
"install_type": "git-clone",
"description": "Nodes:GR Trajectory"
},
{
"author": "wailovet",
"title": "ComfyUI-WW",
"reference": "https://github.com/wailovet/ComfyUI-WW",
"files": [
"https://github.com/wailovet/ComfyUI-WW"
],
"install_type": "git-clone",
"description": "Nodes:WW_ImageResize"
},
{
"author": "bmz55",
"title": "bmz nodes",
"reference": "https://github.com/bmz55/comfyui-bmz-nodes",
"files": [
"https://github.com/bmz55/comfyui-bmz-nodes"
],
"install_type": "git-clone",
"description": "Nodes:Load Images From Dir With Name (Inspire - BMZ), Count Images In Dir (BMZ), Get Level Text (BMZ), Get Level Float (BMZ)"
},
{
"author": "azure-dragon-ai",
"title": "ComfyUI-HPSv2-Nodes",
"reference": "https://github.com/azure-dragon-ai/ComfyUI-HPSv2-Nodes",
"files": [
"https://github.com/azure-dragon-ai/ComfyUI-HPSv2-Nodes"
],
"install_type": "git-clone",
"description": "Nodes:Loader, Image Processor, Text Processor, ImageScore"
},
{
"author": "kappa54m",
"title": "ComfyUI-HPSv2-Nodes",
"reference": "https://github.com/kappa54m/ComfyUI_Usability",
"files": [
"https://github.com/kappa54m/ComfyUI_Usability"
],
"install_type": "git-clone",
"description": "Nodes:Load Image Dedup"
},
{
"author": "IvanRybakov",
"title": "comfyui-node-int-to-string-convertor",
"reference": "https://github.com/IvanRybakov/comfyui-node-int-to-string-convertor",
"files": [
"https://github.com/IvanRybakov/comfyui-node-int-to-string-convertor"
],
"install_type": "git-clone",
"description": "Nodes:Int To String Convertor"
},
{
"author": "yowipr",
"title": "ComfyUI-Manual",
"reference": "https://github.com/yowipr/ComfyUI-Manual",
"files": [
"https://github.com/yowipr/ComfyUI-Manual"
],
"install_type": "git-clone",
"description": "Nodes:M_Layer, M_Output"
},
{
"author": "andrewharp",
"title": "ComfyUI Function Annotator",
"reference": "https://github.com/andrewharp/ComfyUI-Annotations",
"files": [
"https://github.com/andrewharp/ComfyUI-Annotations"
],
"install_type": "git-clone",
"description": "This module provides an annotation @ComfyFunc to streamline adding custom node types in ComfyUI. It processes your function's signature to create a wrapped function and custom node definition required for ComfyUI, eliminating all the boilerplate code. In most cases you can just add a @ComfyFunc(\"category\") annotation to your existing function."
}
]
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/extension-node-map.json
-1
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@@ -1 +0,0 @@
{}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/model-list.json
-3
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@@ -1,3 +0,0 @@
{
"models": []
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/node_db/tutorial/scan.sh
-4
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@@ -1,4 +0,0 @@
#!/bin/bash
source ../../../../venv/bin/activate
rm .tmp/*.py > /dev/null
python ../../scanner.py
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/notebooks/comfyui_colab_with_manager.ipynb
-353
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@@ -1,353 +0,0 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "aaaaaaaaaa"
},
"source": [
"Git clone the repo and install the requirements. (ignore the pip errors about protobuf)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "bbbbbbbbbb"
},
"outputs": [],
"source": [
"# #@title Environment Setup\n",
"\n",
"from pathlib import Path\n",
"\n",
"OPTIONS = {}\n",
"\n",
"USE_GOOGLE_DRIVE = True #@param {type:\"boolean\"}\n",
"UPDATE_COMFY_UI = True #@param {type:\"boolean\"}\n",
"USE_COMFYUI_MANAGER = True #@param {type:\"boolean\"}\n",
"INSTALL_CUSTOM_NODES_DEPENDENCIES = True #@param {type:\"boolean\"}\n",
"OPTIONS['USE_GOOGLE_DRIVE'] = USE_GOOGLE_DRIVE\n",
"OPTIONS['UPDATE_COMFY_UI'] = UPDATE_COMFY_UI\n",
"OPTIONS['USE_COMFYUI_MANAGER'] = USE_COMFYUI_MANAGER\n",
"OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES'] = INSTALL_CUSTOM_NODES_DEPENDENCIES\n",
"\n",
"current_dir = !pwd\n",
"WORKSPACE = f\"{current_dir[0]}/ComfyUI\"\n",
"\n",
"if OPTIONS['USE_GOOGLE_DRIVE']:\n",
" !echo \"Mounting Google Drive...\"\n",
" %cd /\n",
"\n",
" from google.colab import drive\n",
" drive.mount('/content/drive')\n",
"\n",
" WORKSPACE = \"/content/drive/MyDrive/ComfyUI\"\n",
" %cd /content/drive/MyDrive\n",
"\n",
"![ ! -d $WORKSPACE ] && echo -= Initial setup ComfyUI =- && git clone https://github.com/comfyanonymous/ComfyUI\n",
"%cd $WORKSPACE\n",
"\n",
"if OPTIONS['UPDATE_COMFY_UI']:\n",
" !echo -= Updating ComfyUI =-\n",
" !git pull\n",
"\n",
"!echo -= Install dependencies =-\n",
"#Remove cu121 as it causes issues in Colab.\n",
"#!pip install xformers!=0.0.18 -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu121 --extra-index-url https://download.pytorch.org/whl/cu118 --extra-index-url https://download.pytorch.org/whl/cu117\n",
"!pip3 install accelerate\n",
"!pip3 install einops transformers>=4.25.1 safetensors>=0.3.0 aiohttp pyyaml Pillow scipy tqdm psutil\n",
"!pip3 install xformers!=0.0.18 torch==2.1.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121\n",
"!pip3 install torchsde\n",
"\n",
"if OPTIONS['USE_COMFYUI_MANAGER']:\n",
" %cd custom_nodes\n",
" ![ ! -d ComfyUI-Manager ] && echo -= Initial setup ComfyUI-Manager =- && git clone https://github.com/ltdrdata/ComfyUI-Manager\n",
" %cd ComfyUI-Manager\n",
" !git pull\n",
"\n",
"%cd $WORKSPACE\n",
"\n",
"if OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES']:\n",
" !pwd\n",
" !echo -= Install custom nodes dependencies =-\n",
" ![ -f \"custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py\" ] && python \"custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py\"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "cccccccccc"
},
"source": [
"Download some models/checkpoints/vae or custom comfyui nodes (uncomment the commands for the ones you want)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "dddddddddd"
},
"outputs": [],
"source": [
"# Checkpoints\n",
"\n",
"### SDXL\n",
"### I recommend these workflow examples: https://comfyanonymous.github.io/ComfyUI_examples/sdxl/\n",
"\n",
"#!wget -c https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors -P ./models/checkpoints/\n",
"#!wget -c https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors -P ./models/checkpoints/\n",
"\n",
"# SDXL ReVision\n",
"#!wget -c https://huggingface.co/comfyanonymous/clip_vision_g/resolve/main/clip_vision_g.safetensors -P ./models/clip_vision/\n",
"\n",
"# SD1.5\n",
"!wget -c https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt -P ./models/checkpoints/\n",
"\n",
"# SD2\n",
"#!wget -c https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-ema-pruned.safetensors -P ./models/checkpoints/\n",
"#!wget -c https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.safetensors -P ./models/checkpoints/\n",
"\n",
"# Some SD1.5 anime style\n",
"#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix2/AbyssOrangeMix2_hard.safetensors -P ./models/checkpoints/\n",
"#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A1_orangemixs.safetensors -P ./models/checkpoints/\n",
"#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A3_orangemixs.safetensors -P ./models/checkpoints/\n",
"#!wget -c https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/anything-v3-fp16-pruned.safetensors -P ./models/checkpoints/\n",
"\n",
"# Waifu Diffusion 1.5 (anime style SD2.x 768-v)\n",
"#!wget -c https://huggingface.co/waifu-diffusion/wd-1-5-beta3/resolve/main/wd-illusion-fp16.safetensors -P ./models/checkpoints/\n",
"\n",
"\n",
"# unCLIP models\n",
"#!wget -c https://huggingface.co/comfyanonymous/illuminatiDiffusionV1_v11_unCLIP/resolve/main/illuminatiDiffusionV1_v11-unclip-h-fp16.safetensors -P ./models/checkpoints/\n",
"#!wget -c https://huggingface.co/comfyanonymous/wd-1.5-beta2_unCLIP/resolve/main/wd-1-5-beta2-aesthetic-unclip-h-fp16.safetensors -P ./models/checkpoints/\n",
"\n",
"\n",
"# VAE\n",
"!wget -c https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors -P ./models/vae/\n",
"#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/VAEs/orangemix.vae.pt -P ./models/vae/\n",
"#!wget -c https://huggingface.co/hakurei/waifu-diffusion-v1-4/resolve/main/vae/kl-f8-anime2.ckpt -P ./models/vae/\n",
"\n",
"\n",
"# Loras\n",
"#!wget -c https://civitai.com/api/download/models/10350 -O ./models/loras/theovercomer8sContrastFix_sd21768.safetensors #theovercomer8sContrastFix SD2.x 768-v\n",
"#!wget -c https://civitai.com/api/download/models/10638 -O ./models/loras/theovercomer8sContrastFix_sd15.safetensors #theovercomer8sContrastFix SD1.x\n",
"#!wget -c https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors -P ./models/loras/ #SDXL offset noise lora\n",
"\n",
"\n",
"# T2I-Adapter\n",
"#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_depth_sd14v1.pth -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_seg_sd14v1.pth -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_sketch_sd14v1.pth -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_keypose_sd14v1.pth -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_openpose_sd14v1.pth -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_color_sd14v1.pth -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_canny_sd14v1.pth -P ./models/controlnet/\n",
"\n",
"# T2I Styles Model\n",
"#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_style_sd14v1.pth -P ./models/style_models/\n",
"\n",
"# CLIPVision model (needed for styles model)\n",
"#!wget -c https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/pytorch_model.bin -O ./models/clip_vision/clip_vit14.bin\n",
"\n",
"\n",
"# ControlNet\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_canny_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_lineart_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_openpose_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_scribble_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_seg_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_softedge_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11u_sd15_tile_fp16.safetensors -P ./models/controlnet/\n",
"\n",
"# ControlNet SDXL\n",
"#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-canny-rank256.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-depth-rank256.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-recolor-rank256.safetensors -P ./models/controlnet/\n",
"#!wget -c https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-sketch-rank256.safetensors -P ./models/controlnet/\n",
"\n",
"# Controlnet Preprocessor nodes by Fannovel16\n",
"#!cd custom_nodes && git clone https://github.com/Fannovel16/comfy_controlnet_preprocessors; cd comfy_controlnet_preprocessors && python install.py\n",
"\n",
"\n",
"# GLIGEN\n",
"#!wget -c https://huggingface.co/comfyanonymous/GLIGEN_pruned_safetensors/resolve/main/gligen_sd14_textbox_pruned_fp16.safetensors -P ./models/gligen/\n",
"\n",
"\n",
"# ESRGAN upscale model\n",
"#!wget -c https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P ./models/upscale_models/\n",
"#!wget -c https://huggingface.co/sberbank-ai/Real-ESRGAN/resolve/main/RealESRGAN_x2.pth -P ./models/upscale_models/\n",
"#!wget -c https://huggingface.co/sberbank-ai/Real-ESRGAN/resolve/main/RealESRGAN_x4.pth -P ./models/upscale_models/\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "kkkkkkkkkkkkkkk"
},
"source": [
"### Run ComfyUI with cloudflared (Recommended Way)\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "jjjjjjjjjjjjjj"
},
"outputs": [],
"source": [
"!wget https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb\n",
"!dpkg -i cloudflared-linux-amd64.deb\n",
"\n",
"import subprocess\n",
"import threading\n",
"import time\n",
"import socket\n",
"import urllib.request\n",
"\n",
"def iframe_thread(port):\n",
" while True:\n",
" time.sleep(0.5)\n",
" sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
" result = sock.connect_ex(('127.0.0.1', port))\n",
" if result == 0:\n",
" break\n",
" sock.close()\n",
" print(\"\\nComfyUI finished loading, trying to launch cloudflared (if it gets stuck here cloudflared is having issues)\\n\")\n",
"\n",
" p = subprocess.Popen([\"cloudflared\", \"tunnel\", \"--url\", \"http://127.0.0.1:{}\".format(port)], stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n",
" for line in p.stderr:\n",
" l = line.decode()\n",
" if \"trycloudflare.com \" in l:\n",
" print(\"This is the URL to access ComfyUI:\", l[l.find(\"http\"):], end='')\n",
" #print(l, end='')\n",
"\n",
"\n",
"threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
"\n",
"!python main.py --dont-print-server"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "kkkkkkkkkkkkkk"
},
"source": [
"### Run ComfyUI with localtunnel\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "jjjjjjjjjjjjj"
},
"outputs": [],
"source": [
"!npm install -g localtunnel\n",
"\n",
"import subprocess\n",
"import threading\n",
"import time\n",
"import socket\n",
"import urllib.request\n",
"\n",
"def iframe_thread(port):\n",
" while True:\n",
" time.sleep(0.5)\n",
" sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
" result = sock.connect_ex(('127.0.0.1', port))\n",
" if result == 0:\n",
" break\n",
" sock.close()\n",
" print(\"\\nComfyUI finished loading, trying to launch localtunnel (if it gets stuck here localtunnel is having issues)\\n\")\n",
"\n",
" print(\"The password/enpoint ip for localtunnel is:\", urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\"))\n",
" p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
" for line in p.stdout:\n",
" print(line.decode(), end='')\n",
"\n",
"\n",
"threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
"\n",
"!python main.py --dont-print-server"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "gggggggggg"
},
"source": [
"### Run ComfyUI with colab iframe (use only in case the previous way with localtunnel doesn't work)\n",
"\n",
"You should see the ui appear in an iframe. If you get a 403 error, it's your firefox settings or an extension that's messing things up.\n",
"\n",
"If you want to open it in another window use the link.\n",
"\n",
"Note that some UI features like live image previews won't work because the colab iframe blocks websockets."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "hhhhhhhhhh"
},
"outputs": [],
"source": [
"import threading\n",
"import time\n",
"import socket\n",
"def iframe_thread(port):\n",
" while True:\n",
" time.sleep(0.5)\n",
" sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
" result = sock.connect_ex(('127.0.0.1', port))\n",
" if result == 0:\n",
" break\n",
" sock.close()\n",
" from google.colab import output\n",
" output.serve_kernel_port_as_iframe(port, height=1024)\n",
" print(\"to open it in a window you can open this link here:\")\n",
" output.serve_kernel_port_as_window(port)\n",
"\n",
"threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
"\n",
"!python main.py --dont-print-server"
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"provenance": []
},
"gpuClass": "standard",
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/prestartup_script.py
-525
View File
@@ -1,525 +0,0 @@
import datetime
import os
import subprocess
import sys
import atexit
import threading
import re
import locale
import platform
glob_path = os.path.join(os.path.dirname(__file__), "glob")
sys.path.append(glob_path)
import cm_global
message_collapses = []
import_failed_extensions = set()
cm_global.variables['cm.on_revision_detected_handler'] = []
enable_file_logging = True
def register_message_collapse(f):
global message_collapses
message_collapses.append(f)
def is_import_failed_extension(name):
global import_failed_extensions
return name in import_failed_extensions
def check_file_logging():
global enable_file_logging
try:
import configparser
config_path = os.path.join(os.path.dirname(__file__), "config.ini")
config = configparser.ConfigParser()
config.read(config_path)
default_conf = config['default']
if 'file_logging' in default_conf and default_conf['file_logging'].lower() == 'false':
enable_file_logging = False
except Exception:
pass
check_file_logging()
sys.__comfyui_manager_register_message_collapse = register_message_collapse
sys.__comfyui_manager_is_import_failed_extension = is_import_failed_extension
cm_global.register_api('cm.register_message_collapse', register_message_collapse)
cm_global.register_api('cm.is_import_failed_extension', is_import_failed_extension)
comfyui_manager_path = os.path.dirname(__file__)
custom_nodes_path = os.path.abspath(os.path.join(comfyui_manager_path, ".."))
startup_script_path = os.path.join(comfyui_manager_path, "startup-scripts")
restore_snapshot_path = os.path.join(startup_script_path, "restore-snapshot.json")
git_script_path = os.path.join(comfyui_manager_path, "git_helper.py")
std_log_lock = threading.Lock()
class TerminalHook:
def __init__(self):
self.hooks = {}
def add_hook(self, k, v):
self.hooks[k] = v
def remove_hook(self, k):
if k in self.hooks:
del self.hooks[k]
def write_stderr(self, msg):
for v in self.hooks.values():
try:
v.write_stderr(msg)
except Exception:
pass
def write_stdout(self, msg):
for v in self.hooks.values():
try:
v.write_stdout(msg)
except Exception:
pass
terminal_hook = TerminalHook()
sys.__comfyui_manager_terminal_hook = terminal_hook
def handle_stream(stream, prefix):
stream.reconfigure(encoding=locale.getpreferredencoding(), errors='replace')
for msg in stream:
if prefix == '[!]' and ('it/s]' in msg or 's/it]' in msg) and ('%|' in msg or 'it [' in msg):
if msg.startswith('100%'):
print('\r' + msg, end="", file=sys.stderr),
else:
print('\r' + msg[:-1], end="", file=sys.stderr),
else:
if prefix == '[!]':
print(prefix, msg, end="", file=sys.stderr)
else:
print(prefix, msg, end="")
def process_wrap(cmd_str, cwd_path, handler=None):
process = subprocess.Popen(cmd_str, cwd=cwd_path, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1)
if handler is None:
handler = handle_stream
stdout_thread = threading.Thread(target=handler, args=(process.stdout, ""))
stderr_thread = threading.Thread(target=handler, args=(process.stderr, "[!]"))
stdout_thread.start()
stderr_thread.start()
stdout_thread.join()
stderr_thread.join()
return process.wait()
try:
if '--port' in sys.argv:
port_index = sys.argv.index('--port')
if port_index + 1 < len(sys.argv):
port = int(sys.argv[port_index + 1])
postfix = f"_{port}"
else:
postfix = ""
# Logger setup
if enable_file_logging:
if os.path.exists(f"comfyui{postfix}.log"):
if os.path.exists(f"comfyui{postfix}.prev.log"):
if os.path.exists(f"comfyui{postfix}.prev2.log"):
os.remove(f"comfyui{postfix}.prev2.log")
os.rename(f"comfyui{postfix}.prev.log", f"comfyui{postfix}.prev2.log")
os.rename(f"comfyui{postfix}.log", f"comfyui{postfix}.prev.log")
log_file = open(f"comfyui{postfix}.log", "w", encoding="utf-8", errors="ignore")
log_lock = threading.Lock()
original_stdout = sys.stdout
original_stderr = sys.stderr
if original_stdout.encoding.lower() == 'utf-8':
write_stdout = original_stdout.write
write_stderr = original_stderr.write
else:
def wrapper_stdout(msg):
original_stdout.write(msg.encode('utf-8').decode(original_stdout.encoding, errors="ignore"))
def wrapper_stderr(msg):
original_stderr.write(msg.encode('utf-8').decode(original_stderr.encoding, errors="ignore"))
write_stdout = wrapper_stdout
write_stderr = wrapper_stderr
pat_tqdm = r'\d+%.*\[(.*?)\]'
pat_import_fail = r'seconds \(IMPORT FAILED\):'
pat_custom_node = r'[/\\]custom_nodes[/\\](.*)$'
is_start_mode = True
is_import_fail_mode = False
class ComfyUIManagerLogger:
def __init__(self, is_stdout):
self.is_stdout = is_stdout
self.encoding = "utf-8"
self.last_char = ''
def fileno(self):
try:
if self.is_stdout:
return original_stdout.fileno()
else:
return original_stderr.fileno()
except AttributeError:
# Handle error
raise ValueError("The object does not have a fileno method")
def write(self, message):
global is_start_mode
global is_import_fail_mode
if any(f(message) for f in message_collapses):
return
if is_start_mode:
if is_import_fail_mode:
match = re.search(pat_custom_node, message)
if match:
import_failed_extensions.add(match.group(1))
is_import_fail_mode = False
else:
match = re.search(pat_import_fail, message)
if match:
is_import_fail_mode = True
else:
is_import_fail_mode = False
if 'Starting server' in message:
is_start_mode = False
if not self.is_stdout:
match = re.search(pat_tqdm, message)
if match:
message = re.sub(r'([#|])\d', r'\1▌', message)
message = re.sub('#', '█', message)
if '100%' in message:
self.sync_write(message)
else:
write_stderr(message)
original_stderr.flush()
else:
self.sync_write(message)
else:
self.sync_write(message)
def sync_write(self, message):
with log_lock:
timestamp = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')[:-3]
if self.last_char != '\n':
log_file.write(message)
else:
log_file.write(f"[{timestamp}] {message}")
log_file.flush()
self.last_char = message if message == '' else message[-1]
with std_log_lock:
if self.is_stdout:
write_stdout(message)
original_stdout.flush()
terminal_hook.write_stderr(message)
else:
write_stderr(message)
original_stderr.flush()
terminal_hook.write_stdout(message)
def flush(self):
log_file.flush()
with std_log_lock:
if self.is_stdout:
original_stdout.flush()
else:
original_stderr.flush()
def close(self):
self.flush()
def reconfigure(self, *args, **kwargs):
pass
# You can close through sys.stderr.close_log()
def close_log(self):
sys.stderr = original_stderr
sys.stdout = original_stdout
log_file.close()
def close_log():
sys.stderr = original_stderr
sys.stdout = original_stdout
log_file.close()
if enable_file_logging:
sys.stdout = ComfyUIManagerLogger(True)
sys.stderr = ComfyUIManagerLogger(False)
atexit.register(close_log)
else:
sys.stdout.close_log = lambda: None
except Exception as e:
print(f"[ComfyUI-Manager] Logging failed: {e}")
print("** ComfyUI startup time:", datetime.datetime.now())
print("** Platform:", platform.system())
print("** Python version:", sys.version)
print("** Python executable:", sys.executable)
if enable_file_logging:
print("** Log path:", os.path.abspath('comfyui.log'))
else:
print("** Log path: file logging is disabled")
def check_bypass_ssl():
try:
import configparser
import ssl
config_path = os.path.join(os.path.dirname(__file__), "config.ini")
config = configparser.ConfigParser()
config.read(config_path)
default_conf = config['default']
if 'bypass_ssl' in default_conf and default_conf['bypass_ssl'].lower() == 'true':
print(f"[ComfyUI-Manager] WARN: Unsafe - SSL verification bypass option is Enabled. (see ComfyUI-Manager/config.ini)")
ssl._create_default_https_context = ssl._create_unverified_context # SSL certificate error fix.
except Exception:
pass
check_bypass_ssl()
# Perform install
processed_install = set()
script_list_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "startup-scripts", "install-scripts.txt")
pip_list = None
def get_installed_packages():
global pip_list
if pip_list is None:
try:
result = subprocess.check_output([sys.executable, '-m', 'pip', 'list'], universal_newlines=True)
pip_list = set([line.split()[0].lower() for line in result.split('\n') if line.strip()])
except subprocess.CalledProcessError as e:
print(f"[ComfyUI-Manager] Failed to retrieve the information of installed pip packages.")
return set()
return pip_list
def is_installed(name):
name = name.strip()
if name.startswith('#'):
return True
pattern = r'([^<>!=]+)([<>!=]=?)'
match = re.search(pattern, name)
if match:
name = match.group(1)
return name.lower() in get_installed_packages()
if os.path.exists(restore_snapshot_path):
try:
import json
cloned_repos = []
def msg_capture(stream, prefix):
stream.reconfigure(encoding=locale.getpreferredencoding(), errors='replace')
for msg in stream:
if msg.startswith("CLONE: "):
cloned_repos.append(msg[7:])
if prefix == '[!]':
print(prefix, msg, end="", file=sys.stderr)
else:
print(prefix, msg, end="")
elif prefix == '[!]' and ('it/s]' in msg or 's/it]' in msg) and ('%|' in msg or 'it [' in msg):
if msg.startswith('100%'):
print('\r' + msg, end="", file=sys.stderr),
else:
print('\r'+msg[:-1], end="", file=sys.stderr),
else:
if prefix == '[!]':
print(prefix, msg, end="", file=sys.stderr)
else:
print(prefix, msg, end="")
print(f"[ComfyUI-Manager] Restore snapshot.")
cmd_str = [sys.executable, git_script_path, '--apply-snapshot', restore_snapshot_path]
exit_code = process_wrap(cmd_str, custom_nodes_path, handler=msg_capture)
with open(restore_snapshot_path, 'r', encoding="UTF-8", errors="ignore") as json_file:
info = json.load(json_file)
for url in cloned_repos:
try:
repository_name = url.split("/")[-1].strip()
repo_path = os.path.join(custom_nodes_path, repository_name)
repo_path = os.path.abspath(repo_path)
requirements_path = os.path.join(repo_path, 'requirements.txt')
install_script_path = os.path.join(repo_path, 'install.py')
this_exit_code = 0
if os.path.exists(requirements_path):
with open(requirements_path, 'r', encoding="UTF-8", errors="ignore") as file:
for line in file:
package_name = line.strip()
if package_name and not is_installed(package_name):
install_cmd = [sys.executable, "-m", "pip", "install", package_name]
this_exit_code += process_wrap(install_cmd, repo_path)
if os.path.exists(install_script_path) and f'{repo_path}/install.py' not in processed_install:
processed_install.add(f'{repo_path}/install.py')
install_cmd = [sys.executable, install_script_path]
print(f">>> {install_cmd} / {repo_path}")
this_exit_code += process_wrap(install_cmd, repo_path)
if this_exit_code != 0:
print(f"[ComfyUI-Manager] Restoring '{repository_name}' is failed.")
except Exception as e:
print(e)
print(f"[ComfyUI-Manager] Restoring '{repository_name}' is failed.")
if exit_code != 0:
print(f"[ComfyUI-Manager] Restore snapshot failed.")
else:
print(f"[ComfyUI-Manager] Restore snapshot done.")
except Exception as e:
print(e)
print(f"[ComfyUI-Manager] Restore snapshot failed.")
os.remove(restore_snapshot_path)
def execute_lazy_install_script(repo_path, executable):
global processed_install
install_script_path = os.path.join(repo_path, "install.py")
requirements_path = os.path.join(repo_path, "requirements.txt")
if os.path.exists(requirements_path):
print(f"Install: pip packages for '{repo_path}'")
with open(requirements_path, "r") as requirements_file:
for line in requirements_file:
package_name = line.strip()
if package_name and not is_installed(package_name):
install_cmd = [executable, "-m", "pip", "install", package_name]
process_wrap(install_cmd, repo_path)
if os.path.exists(install_script_path) and f'{repo_path}/install.py' not in processed_install:
processed_install.add(f'{repo_path}/install.py')
print(f"Install: install script for '{repo_path}'")
install_cmd = [executable, "install.py"]
process_wrap(install_cmd, repo_path)
# Check if script_list_path exists
if os.path.exists(script_list_path):
print("\n#######################################################################")
print("[ComfyUI-Manager] Starting dependency installation/(de)activation for the extension\n")
executed = set()
# Read each line from the file and convert it to a list using eval
with open(script_list_path, 'r', encoding="UTF-8", errors="ignore") as file:
for line in file:
if line in executed:
continue
executed.add(line)
try:
script = eval(line)
if script[1].startswith('#') and script[1] != '#FORCE':
if script[1] == "#LAZY-INSTALL-SCRIPT":
execute_lazy_install_script(script[0], script[2])
elif os.path.exists(script[0]):
if script[1] == "#FORCE":
del script[1]
else:
if 'pip' in script[1:] and 'install' in script[1:] and is_installed(script[-1]):
continue
print(f"\n## ComfyUI-Manager: EXECUTE => {script[1:]}")
print(f"\n## Execute install/(de)activation script for '{script[0]}'")
exit_code = process_wrap(script[1:], script[0])
if exit_code != 0:
print(f"install/(de)activation script failed: {script[0]}")
else:
print(f"\n## ComfyUI-Manager: CANCELED => {script[1:]}")
except Exception as e:
print(f"[ERROR] Failed to execute install/(de)activation script: {line} / {e}")
# Remove the script_list_path file
if os.path.exists(script_list_path):
os.remove(script_list_path)
print("\n[ComfyUI-Manager] Startup script completed.")
print("#######################################################################\n")
del processed_install
del pip_list
def check_windows_event_loop_policy():
try:
import configparser
config_path = os.path.join(os.path.dirname(__file__), "config.ini")
config = configparser.ConfigParser()
config.read(config_path)
default_conf = config['default']
if 'windows_selector_event_loop_policy' in default_conf and default_conf['windows_selector_event_loop_policy'].lower() == 'true':
try:
import asyncio
import asyncio.windows_events
asyncio.set_event_loop_policy(asyncio.windows_events.WindowsSelectorEventLoopPolicy())
print(f"[ComfyUI-Manager] Windows event loop policy mode enabled")
except Exception as e:
print(f"[ComfyUI-Manager] WARN: Windows initialization fail: {e}")
except Exception:
pass
if platform.system() == 'Windows':
check_windows_event_loop_policy()
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/requirements.txt
-4
View File
@@ -1,4 +0,0 @@
GitPython
matrix-client==0.4.0
transformers
huggingface-hub>0.20
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/scan.sh
-7
View File
@@ -1,7 +0,0 @@
#!/bin/bash
rm ~/.tmp/default/*.py > /dev/null 2>&1
python scanner.py ~/.tmp/default
cp extension-node-map.json node_db/new/.
echo Integrity check
./check.sh
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/scanner.py
-336
View File
@@ -1,336 +0,0 @@
import ast
import re
import os
import json
from git import Repo
from torchvision.datasets.utils import download_url
import concurrent
builtin_nodes = set()
import sys
# prepare temp dir
if len(sys.argv) > 1:
temp_dir = sys.argv[1]
else:
temp_dir = os.path.join(os.getcwd(), ".tmp")
if not os.path.exists(temp_dir):
os.makedirs(temp_dir)
print(f"TEMP DIR: {temp_dir}")
def extract_nodes(code_text):
try:
parsed_code = ast.parse(code_text)
assignments = (node for node in parsed_code.body if isinstance(node, ast.Assign))
for assignment in assignments:
if isinstance(assignment.targets[0], ast.Name) and assignment.targets[0].id == 'NODE_CLASS_MAPPINGS':
node_class_mappings = assignment.value
break
else:
node_class_mappings = None
if node_class_mappings:
s = set([key.s.strip() for key in node_class_mappings.keys if key is not None])
return s
else:
return set()
except:
return set()
# scan
def scan_in_file(filename, is_builtin=False):
global builtin_nodes
try:
with open(filename, encoding='utf-8') as file:
code = file.read()
except UnicodeDecodeError:
with open(filename, encoding='cp949') as file:
code = file.read()
pattern = r"_CLASS_MAPPINGS\s*=\s*{([^}]*)}"
regex = re.compile(pattern, re.MULTILINE | re.DOTALL)
nodes = set()
class_dict = {}
nodes |= extract_nodes(code)
pattern2 = r'^[^=]*_CLASS_MAPPINGS\["(.*?)"\]'
keys = re.findall(pattern2, code)
for key in keys:
nodes.add(key.strip())
pattern3 = r'^[^=]*_CLASS_MAPPINGS\[\'(.*?)\'\]'
keys = re.findall(pattern3, code)
for key in keys:
nodes.add(key.strip())
matches = regex.findall(code)
for match in matches:
dict_text = match
key_value_pairs = re.findall(r"\"([^\"]*)\"\s*:\s*([^,\n]*)", dict_text)
for key, value in key_value_pairs:
class_dict[key.strip()] = value.strip()
key_value_pairs = re.findall(r"'([^']*)'\s*:\s*([^,\n]*)", dict_text)
for key, value in key_value_pairs:
class_dict[key.strip()] = value.strip()
for key, value in class_dict.items():
nodes.add(key.strip())
update_pattern = r"_CLASS_MAPPINGS.update\s*\({([^}]*)}\)"
update_match = re.search(update_pattern, code)
if update_match:
update_dict_text = update_match.group(1)
update_key_value_pairs = re.findall(r"\"([^\"]*)\"\s*:\s*([^,\n]*)", update_dict_text)
for key, value in update_key_value_pairs:
class_dict[key.strip()] = value.strip()
nodes.add(key.strip())
metadata = {}
lines = code.strip().split('\n')
for line in lines:
if line.startswith('@'):
if line.startswith("@author:") or line.startswith("@title:") or line.startswith("@nickname:") or line.startswith("@description:"):
key, value = line[1:].strip().split(':', 1)
metadata[key.strip()] = value.strip()
if is_builtin:
builtin_nodes += set(nodes)
else:
for x in builtin_nodes:
if x in nodes:
nodes.remove(x)
return nodes, metadata
def get_py_file_paths(dirname):
file_paths = []
for root, dirs, files in os.walk(dirname):
if ".git" in root or "__pycache__" in root:
continue
for file in files:
if file.endswith(".py"):
file_path = os.path.join(root, file)
file_paths.append(file_path)
return file_paths
def get_nodes(target_dir):
py_files = []
directories = []
for item in os.listdir(target_dir):
if ".git" in item or "__pycache__" in item:
continue
path = os.path.abspath(os.path.join(target_dir, item))
if os.path.isfile(path) and item.endswith(".py"):
py_files.append(path)
elif os.path.isdir(path):
directories.append(path)
return py_files, directories
def get_git_urls_from_json(json_file):
with open(json_file, encoding='utf-8') as file:
data = json.load(file)
custom_nodes = data.get('custom_nodes', [])
git_clone_files = []
for node in custom_nodes:
if node.get('install_type') == 'git-clone':
files = node.get('files', [])
if files:
git_clone_files.append((files[0], node.get('title'), node.get('nodename_pattern')))
git_clone_files.append(("https://github.com/comfyanonymous/ComfyUI", "ComfyUI", None))
return git_clone_files
def get_py_urls_from_json(json_file):
with open(json_file, encoding='utf-8') as file:
data = json.load(file)
custom_nodes = data.get('custom_nodes', [])
py_files = []
for node in custom_nodes:
if node.get('install_type') == 'copy':
files = node.get('files', [])
if files:
py_files.append((files[0], node.get('title'), node.get('nodename_pattern')))
return py_files
def clone_or_pull_git_repository(git_url):
repo_name = git_url.split("/")[-1].split(".")[0]
repo_dir = os.path.join(temp_dir, repo_name)
if os.path.exists(repo_dir):
try:
repo = Repo(repo_dir)
origin = repo.remote(name="origin")
origin.pull(rebase=True)
repo.git.submodule('update', '--init', '--recursive')
print(f"Pulling {repo_name}...")
except Exception as e:
print(f"Pulling {repo_name} failed: {e}")
else:
try:
Repo.clone_from(git_url, repo_dir, recursive=True)
print(f"Cloning {repo_name}...")
except Exception as e:
print(f"Cloning {repo_name} failed: {e}")
def update_custom_nodes():
if not os.path.exists(temp_dir):
os.makedirs(temp_dir)
node_info = {}
git_url_titles = get_git_urls_from_json('custom-node-list.json')
def process_git_url_title(url, title, node_pattern):
name = os.path.basename(url)
if name.endswith(".git"):
name = name[:-4]
node_info[name] = (url, title, node_pattern)
clone_or_pull_git_repository(url)
with concurrent.futures.ThreadPoolExecutor(10) as executor:
for url, title, node_pattern in git_url_titles:
executor.submit(process_git_url_title, url, title, node_pattern)
py_url_titles_and_pattern = get_py_urls_from_json('custom-node-list.json')
def download_and_store_info(url_title_and_pattern):
url, title, node_pattern = url_title_and_pattern
name = os.path.basename(url)
if name.endswith(".py"):
node_info[name] = (url, title, node_pattern)
try:
download_url(url, temp_dir)
except:
print(f"[ERROR] Cannot download '{url}'")
with concurrent.futures.ThreadPoolExecutor(10) as executor:
executor.map(download_and_store_info, py_url_titles_and_pattern)
return node_info
def gen_json(node_info):
# scan from .py file
node_files, node_dirs = get_nodes(temp_dir)
comfyui_path = os.path.abspath(os.path.join(temp_dir, "ComfyUI"))
node_dirs.remove(comfyui_path)
node_dirs = [comfyui_path] + node_dirs
data = {}
for dirname in node_dirs:
py_files = get_py_file_paths(dirname)
metadata = {}
nodes = set()
for py in py_files:
nodes_in_file, metadata_in_file = scan_in_file(py, dirname == "ComfyUI")
nodes.update(nodes_in_file)
metadata.update(metadata_in_file)
dirname = os.path.basename(dirname)
if len(nodes) > 0 or (dirname in node_info and node_info[dirname][2] is not None):
nodes = list(nodes)
nodes.sort()
if dirname in node_info:
git_url, title, node_pattern = node_info[dirname]
metadata['title_aux'] = title
if node_pattern is not None:
metadata['nodename_pattern'] = node_pattern
data[git_url] = (nodes, metadata)
else:
print(f"WARN: {dirname} is removed from custom-node-list.json")
for file in node_files:
nodes, metadata = scan_in_file(file)
if len(nodes) > 0 or (dirname in node_info and node_info[dirname][2] is not None):
nodes = list(nodes)
nodes.sort()
file = os.path.basename(file)
if file in node_info:
url, title, node_pattern = node_info[file]
metadata['title_aux'] = title
if node_pattern is not None:
metadata['nodename_pattern'] = node_pattern
data[url] = (nodes, metadata)
else:
print(f"Missing info: {file}")
# scan from node_list.json file
extensions = [name for name in os.listdir(temp_dir) if os.path.isdir(os.path.join(temp_dir, name))]
for extension in extensions:
node_list_json_path = os.path.join(temp_dir, extension, 'node_list.json')
if os.path.exists(node_list_json_path):
git_url, title, node_pattern = node_info[extension]
with open(node_list_json_path, 'r', encoding='utf-8') as f:
node_list_json = json.load(f)
metadata_in_url = {}
if git_url not in data:
nodes = set()
else:
nodes_in_url, metadata_in_url = data[git_url]
nodes = set(nodes_in_url)
for x, desc in node_list_json.items():
nodes.add(x.strip())
metadata_in_url['title_aux'] = title
if node_pattern is not None:
metadata_in_url['nodename_pattern'] = node_pattern
nodes = list(nodes)
nodes.sort()
data[git_url] = (nodes, metadata_in_url)
json_path = f"extension-node-map.json"
with open(json_path, "w", encoding='utf-8') as file:
json.dump(data, file, indent=4, sort_keys=True)
print("### ComfyUI Manager Node Scanner ###")
print("\n# Updating extensions\n")
updated_node_info = update_custom_nodes()
print("\n# 'extension-node-map.json' file is generated.\n")
gen_json(updated_node_info)
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py
-39
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@@ -1,39 +0,0 @@
import os
import subprocess
def get_enabled_subdirectories_with_files(base_directory):
subdirs_with_files = []
for subdir in os.listdir(base_directory):
try:
full_path = os.path.join(base_directory, subdir)
if os.path.isdir(full_path) and not subdir.endswith(".disabled") and not subdir.startswith('.') and subdir != '__pycache__':
print(f"## Install dependencies for '{subdir}'")
requirements_file = os.path.join(full_path, "requirements.txt")
install_script = os.path.join(full_path, "install.py")
if os.path.exists(requirements_file) or os.path.exists(install_script):
subdirs_with_files.append((full_path, requirements_file, install_script))
except Exception as e:
print(f"EXCEPTION During Dependencies INSTALL on '{subdir}':\n{e}")
return subdirs_with_files
def install_requirements(requirements_file_path):
if os.path.exists(requirements_file_path):
subprocess.run(["pip", "install", "-r", requirements_file_path])
def run_install_script(install_script_path):
if os.path.exists(install_script_path):
subprocess.run(["python", install_script_path])
custom_nodes_directory = "custom_nodes"
subdirs_with_files = get_enabled_subdirectories_with_files(custom_nodes_directory)
for subdir, requirements_file, install_script in subdirs_with_files:
install_requirements(requirements_file)
run_install_script(install_script)
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-comfyui-venv-linux.sh
-21
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@@ -1,21 +0,0 @@
git clone https://github.com/comfyanonymous/ComfyUI
cd ComfyUI/custom_nodes
git clone https://github.com/ltdrdata/ComfyUI-Manager
cd ..
python -m venv venv
source venv/bin/activate
python -m pip install -r requirements.txt
python -m pip install -r custom_nodes/ComfyUI-Manager/requirements.txt
python -m pip install torchvision
cd ..
echo "#!/bin/bash" > run_gpu.sh
echo "cd ComfyUI" >> run_gpu.sh
echo "source venv/bin/activate" >> run_gpu.sh
echo "python main.py --preview-method auto" >> run_gpu.sh
chmod +x run_gpu.sh
echo "#!/bin/bash" > run_cpu.sh
echo "cd ComfyUI" >> run_cpu.sh
echo "source venv/bin/activate" >> run_cpu.sh
echo "python main.py --preview-method auto --cpu" >> run_cpu.sh
chmod +x run_cpu.sh
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-comfyui-venv-win.bat
-20
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@@ -1,20 +0,0 @@
git clone https://github.com/comfyanonymous/ComfyUI
cd ComfyUI/custom_nodes
git clone https://github.com/ltdrdata/ComfyUI-Manager
cd ..
python -m venv venv
call venv/Scripts/activate
python -m pip install -r requirements.txt
python -m pip install -r custom_nodes/ComfyUI-Manager/requirements.txt
python -m pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu118 xformers
cd ..
echo "cd ComfyUI" >> run_gpu.sh
echo "call venv/Scripts/activate" >> run_gpu.sh
echo "python main.py" >> run_gpu.sh
chmod +x run_gpu.sh
echo "#!/bin/bash" > run_cpu.sh
echo "cd ComfyUI" >> run_cpu.sh
echo "call venv/Scripts/activate" >> run_cpu.sh
echo "python main.py --cpu" >> run_cpu.sh
chmod +x run_cpu.sh
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/install-manager-for-portable-version.bat
-2
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@@ -1,2 +0,0 @@
.\python_embeded\python.exe -s -m pip install gitpython
.\python_embeded\python.exe -c "import git; git.Repo.clone_from('https://github.com/ltdrdata/ComfyUI-Manager', './ComfyUI/custom_nodes/ComfyUI-Manager')"
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/scripts/update-fix.py
-12
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@@ -1,12 +0,0 @@
import git
commit_hash = "a361cc1"
repo = git.Repo('.')
if repo.is_dirty():
repo.git.stash()
repo.git.update_ref("refs/remotes/origin/main", commit_hash)
repo.remotes.origin.fetch()
repo.git.pull("origin", "main")
workflows/comfy/ComfyUI/custom_nodes/ComfyUI-Manager/snapshots/the_snapshot_files_are_located_here
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