| | ---
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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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| |
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| |
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| |
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| | # Check out more codes on our [github repository](https://github.com/yisol/IDM-VTON)!
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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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| |
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| | 🤗 Try our huggingface [Demo](https://huggingface.co/spaces/yisol/IDM-VTON)
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| |
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| | 
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| | 
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| |
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| |
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| | ## TODO LIST
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| |
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| |
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| | - [x] demo model
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| | - [x] inference code
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| | - [ ] training code
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| |
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| |
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| |
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| |
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| | ## Acknowledgements
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| |
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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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| |
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| |
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| |
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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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| |
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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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