OOTDiffusion / README.md
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---
license: cc-by-nc-sa-4.0
---
# OOTDiffusion
[Our OOTDiffusion GitHub repository](https://github.com/levihsu/OOTDiffusion)
πŸ€— [Try out OOTDiffusion](https://huggingface.co/spaces/levihsu/OOTDiffusion)
(Thanks to [ZeroGPU](https://huggingface.co/zero-gpu-explorers) for providing A100 GPUs)
> **OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on** [[arXiv paper](https://arxiv.org/abs/2403.01779)]<br>
> [Yuhao Xu](http://levihsu.github.io/), [Tao Gu](https://github.com/T-Gu), [Weifeng Chen](https://github.com/ShineChen1024), [Chengcai Chen](https://www.researchgate.net/profile/Chengcai-Chen)<br>
> Xiao-i Research
Our model checkpoints trained on [VITON-HD](https://github.com/shadow2496/VITON-HD) (half-body) and [Dress Code](https://github.com/aimagelab/dress-code) (full-body) have been released
* πŸ“’πŸ“’ We support ONNX for [humanparsing](https://github.com/GoGoDuck912/Self-Correction-Human-Parsing) now. Most environmental issues should have been addressed : )
* Please also download [clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) into ***checkpoints*** folder
* We've only tested our code and models on Linux (Ubuntu 22.04)
![demo](images/demo.png)&nbsp;
![workflow](images/workflow.png)&nbsp;
## Citation
```
@article{xu2024ootdiffusion,
title={OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on},
author={Xu, Yuhao and Gu, Tao and Chen, Weifeng and Chen, Chengcai},
journal={arXiv preprint arXiv:2403.01779},
year={2024}
}
```