| | --- |
| | base_model: stable-diffusion-xl-1.0-inpainting-0.1 |
| | tags: |
| | - stable-diffusion-xl |
| | - inpainting |
| | - virtual try-on |
| | license: cc-by-nc-sa-4.0 |
| | --- |
| | |
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| | # Check out more codes on our [github repository](https://github.com/yisol/IDM-VTON)! |
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| | # IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild |
| | This is an official implementation of paper 'Improving Diffusion Models for Authentic Virtual Try-on in the Wild' |
| | - [paper](https://arxiv.org/abs/2403.05139) |
| | - [project page](https://idm-vton.github.io/) |
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| | 🤗 Try our huggingface [Demo](https://huggingface.co/smasad/IDM-VTON) |
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| | ## TODO LIST |
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| | - [x] demo model |
| | - [x] inference code |
| | - [ ] 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). |
| | Parts of the code are based on [IP-Adapter](https://github.com/tencent-ailab/IP-Adapter). |
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| | ## Citation |
| | ``` |
| | @article{choi2024improving, |
| | title={Improving Diffusion Models for Virtual Try-on}, |
| | author={Choi, Yisol and Kwak, Sangkyung and Lee, Kyungmin and Choi, Hyungwon and Shin, Jinwoo}, |
| | journal={arXiv preprint arXiv:2403.05139}, |
| | year={2024} |
| | } |
| | ``` |
| |
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| | ## License |
| | 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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