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add some script of lora test (#66)

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* multi resolutions support

* full chinese readme

* Update README.md

* Update README.md

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* reformat from pycharm

* dataset.md

* Update README.md

* for merge

* mergeing

* torch update for use

* add test lora script

* Update test_lora_inference.py

* Update requirements.txt

* Update requirements.txt

---------

Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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Yuxuan.Zhang
2024-10-30 18:55:14 +08:00
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@@ -53,6 +53,8 @@ video = pipe("<my-awesome-prompt>").frames[0]
export_to_video(video, "output.mp4", fps=8)
```
You can also check if your LoRA is correctly mounted [here](tests/test_lora_inference.py).
**Note:** For Image-to-Video finetuning, you must install diffusers from [this](https://github.com/huggingface/diffusers/pull/9482) branch (which adds lora loading support in CogVideoX image-to-video) until it is merged.
Below we provide additional sections detailing on more options explored in this repository. They all attempt to make fine-tuning for video models as accessible as possible by reducing memory requirements as much as possible.