mirror of
https://github.com/storytold/FineTrainers-Conditioning.git
synced 2026-10-09 00:09:45 +00:00
Aryan
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
import os
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DEFAULT_HEIGHT_BUCKETS = [256, 320, 384, 480, 512, 576, 720, 768, 960, 1024, 1280, 1536]
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DEFAULT_WIDTH_BUCKETS = [256, 320, 384, 480, 512, 576, 720, 768, 960, 1024, 1280, 1536]
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DEFAULT_FRAME_BUCKETS = [49]
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DEFAULT_IMAGE_RESOLUTION_BUCKETS = []
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for height in DEFAULT_HEIGHT_BUCKETS:
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for width in DEFAULT_WIDTH_BUCKETS:
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DEFAULT_IMAGE_RESOLUTION_BUCKETS.append((height, width))
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DEFAULT_VIDEO_RESOLUTION_BUCKETS = []
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for frames in DEFAULT_FRAME_BUCKETS:
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for height in DEFAULT_HEIGHT_BUCKETS:
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for width in DEFAULT_WIDTH_BUCKETS:
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DEFAULT_VIDEO_RESOLUTION_BUCKETS.append((frames, height, width))
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FINETRAINERS_LOG_LEVEL = os.environ.get("FINETRAINERS_LOG_LEVEL", "INFO")
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PRECOMPUTED_DIR_NAME = "precomputed"
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PRECOMPUTED_CONDITIONS_DIR_NAME = "conditions"
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PRECOMPUTED_LATENTS_DIR_NAME = "latents"
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MODEL_DESCRIPTION = r"""
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\# {model_id} {training_type} finetune
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<Gallery />
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\#\# Model Description
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This model is a {training_type} of the `{model_id}` model.
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This model was trained using the `fine-video-trainers` library - a repository containing memory-optimized scripts for training video models with [Diffusers](https://github.com/huggingface/diffusers).
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\#\# Download model
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[Download LoRA]({repo_id}/tree/main) in the Files & Versions tab.
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\#\# Usage
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Requires [🧨 Diffusers](https://github.com/huggingface/diffusers) installed.
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```python
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{model_example}
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) on loading LoRAs in diffusers.
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\#\# License
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Please adhere to the license of the base model.
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""".strip()
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