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--- |
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base_model: stable-diffusion-xl-1.0-inpainting-0.1 |
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tags: |
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- stable-diffusion-xl |
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- inpainting |
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- virtual try-on |
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license: cc-by-nc-sa-4.0 |
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--- |
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# IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild |
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This is an official implementation of paper 'Improving Diffusion Models for Authentic Virtual Try-on in the Wild' |
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- [paper](https://arxiv.org/abs/2403.05139) |
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- [project page](https://idm-vton.github.io/) |
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🤗 Try our huggingface [Demo](https://huggingface.co/spaces/yisol/IDM-VTON) |
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![teaser](assets/teaser.png) |
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![teaser2](assets/teaser2.png) |
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## TODO LIST |
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- [x] demo model |
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- [x] inference code |
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- [ ] training code |
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## Acknowledgements |
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For the demo, GPUs are supported from [zerogpu](https://huggingface.co/zero-gpu-explorers), and auto masking generation codes are based on [OOTDiffusion](https://github.com/levihsu/OOTDiffusion) and [DCI-VTON](https://github.com/bcmi/DCI-VTON-Virtual-Try-On). |
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Parts of the code are based on [IP-Adapter](https://github.com/tencent-ailab/IP-Adapter). |
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## Citation |
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``` |
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@article{choi2024improving, |
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title={Improving Diffusion Models for Virtual Try-on}, |
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author={Choi, Yisol and Kwak, Sangkyung and Lee, Kyungmin and Choi, Hyungwon and Shin, Jinwoo}, |
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journal={arXiv preprint arXiv:2403.05139}, |
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year={2024} |
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} |
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``` |
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## License |
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The codes and checkpoints in this repository are under the [CC BY-NC-SA 4.0 license](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode). |
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