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featured projects #270

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2 changes: 2 additions & 0 deletions .gitignore
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Expand Up @@ -168,8 +168,10 @@ cython_debug/
wandb/
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!requirements.txt
20 changes: 17 additions & 3 deletions README.md
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# finetrainers 🧪

`cogvideox-factory` was renamed to `finetrainers`. If you're looking to train CogVideoX or Mochi with the legacy training scripts, please refer to [this](./training/README.md) README instead. Everything in the `training/` directory will be eventually moved and supported under `finetrainers`.

FineTrainers is a work-in-progress library to support (accessible) training of video models. Our first priority is to support LoRA training for all popular video models in [Diffusers](https://github.com/huggingface/diffusers), and eventually other methods like controlnets, control-loras, distillation, etc.

> [!NOTE]
>
> `cogvideox-factory` was renamed to `finetrainers`. If you're looking to train CogVideoX or Mochi with the legacy training scripts, please refer to [this](./examples/_legacy/) README instead.

<table align="center">
<tr>
<td align="center"><video src="https://github.com/user-attachments/assets/aad07161-87cb-4784-9e6b-16d06581e3e5">Your browser does not support the video tag.</video></td>
Expand Down Expand Up @@ -153,7 +155,19 @@ For inference, refer [here](./docs/training/ltx_video.md#inference). For docs re

If you would like to use a custom dataset, refer to the dataset preparation guide [here](./docs/dataset/README.md).

## Featured Projects 🔥

Checkout some amazing projects citing `finetrainers`:
- [SkyworkAI's SkyReels-A1](https://github.com/SkyworkAI/SkyReels-A1)
- [eisneim's LTX Image-to-Video](https://github.com/eisneim/ltx_lora_training_i2v_t2v/)
- [wileewang's TransPixar](https://github.com/wileewang/TransPixar)
- [Feizc's Video-In-Context](https://github.com/feizc/Video-In-Context)

Checkout the following UIs built for `finetrainers`:
- [jbilcke's VideoModelStudio](https://github.com/jbilcke-hf/VideoModelStudio)
- [neph1's finetrainers-ui](https://github.com/neph1/finetrainers-ui)

## Acknowledgements

* `finetrainers` builds on top of a body of great open-source libraries: `transformers`, `accelerate`, `peft`, `diffusers`, `bitsandbytes`, `torchao`, `deepspeed` -- to name a few.
* Some of the design choices of `finetrainers` were inspired by [`SimpleTuner`](https://github.com/bghira/SimpleTuner).
* Some of the design choices were inspired by [`SimpleTuner`](https://github.com/bghira/SimpleTuner).