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Idm Vton Safetensors

This is an official implementation of paper 'Improving Diffusion Models for Authentic Virtual Try-on in the Wild' paper project page

TypeOtherModèle de basestable-diffusion-xl-1.0-inpainting-0.1VersionRevision eb64df8BClasse

Source du modèle

Type
Other
Taille du fichier
99,8 MB–11,1 GB
Modèle de base
stable-diffusion-xl-1.0-inpainting-0.1
Version
vRevision eb64df8
Mis à jour
19 oct. 2026
Téléchargements
10
Source
Hugging Face

Description de la source

Check out more codes on our github repository!

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'

🤗 Try our huggingface Demo

teaser teaser2

TODO LIST

  • demo model
  • inference code
  • training code

Acknowledgements

For the demo, GPUs are supported from zerogpu, and auto masking generation codes are based on OOTDiffusion and DCI-VTON.
Parts of the code are based on IP-Adapter.

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}
}

License

The codes and checkpoints in this repository are under the CC BY-NC-SA 4.0 license.

Sources

1 source
Hugging FacePrincipalVersion eb64df8201d60099a4b99fba82cf3acae1ebd27a
huggingface.co/imaginairy/idm-vton-safetensors/tree/eb64df8201d60099a4b99fba82cf3acae1ebd27a

Vérifié 19 oct.

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Artefacts du modèle

16 artefacts

humanparsing/parsing_atr.onnx

onnx · 254 MB · SHA-256 04c7d1d070d0…77f4 · Hugging Face

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humanparsing/parsing_lip.onnx

onnx · 255 MB · SHA-256 8436e1dae96e…6dbc · Hugging Face

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image_encoder/model.fp16.safetensors

safetensors · 1,18 GB · SHA-256 6914c90a48f1…598d · Hugging Face

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image_encoder/model.fp32.safetensors

safetensors · 2,35 GB · SHA-256 6ca9667da1ca…b030 · Hugging Face

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openpose/ckpts/body_pose_model.fp16.safetensors

safetensors · 99,8 MB · SHA-256 23369268d782…c744 · Hugging Face

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openpose/ckpts/body_pose_model.fp32.safetensors

safetensors · 200 MB · SHA-256 6417e13ab709…6abb · Hugging Face

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text_encoder_2/model.fp16.safetensors

safetensors · 1,29 GB · SHA-256 700c27a8fdb6…08de · Hugging Face

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text_encoder_2/model.fp32.safetensors

safetensors · 2,59 GB · SHA-256 d65d20651dd3…5e3d · Hugging Face

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text_encoder/model.fp16.safetensors

safetensors · 235 MB · SHA-256 77795e2023ad…ef4e · Hugging Face

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text_encoder/model.fp32.safetensors

safetensors · 469 MB · SHA-256 22928c6a6a99…a3ef · Hugging Face

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unet_encoder/diffusion_pytorch_model.fp16.safetensors

safetensors · 4,78 GB · SHA-256 83e012a805b8…e139 · Hugging Face

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unet_encoder/diffusion_pytorch_model.fp32.safetensors

safetensors · 9,56 GB · SHA-256 357650fbfb3c…710a · Hugging Face

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unet/diffusion_pytorch_model.fp16.safetensors

safetensors · 5,57 GB · SHA-256 ea19117d9471…3168 · Hugging Face

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unet/diffusion_pytorch_model.fp32.safetensors

safetensors · 11,1 GB · SHA-256 24626fb01313…deab · Hugging Face

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vae/diffusion_pytorch_model.fp16.safetensors

safetensors · 160 MB · SHA-256 6353737672c9…ee48 · Hugging Face

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vae/diffusion_pytorch_model.fp32.safetensors

safetensors · 319 MB · SHA-256 98a14dc6fe8d…4f88 · Hugging Face

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Extraits de sources

3 extraits

--- 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 --- # Check out more codes on our [github repository](https://github.com/yisol/IDM-VTON)! # 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/) 🤗 Try our huggingface [Demo](https://huggingface.co/spaces/yisol/IDM-VTON) ![teaser](assets/teaser.png)  ![teaser2](assets/teaser2.png)  ## TODO LIST - [x] demo model - [x] inference code - [ ] training code ## Acknowledgements 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). ## 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} } ``` ## 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).

Source context: 10 downloads · 2 likes · Pipeline image-to-image · Library diffusers · Repo imaginairy/idm-vton-safetensors

Source context: 19 downloads · 2 likes · Pipeline image-to-image · Library diffusers · Repo imaginairy/idm-vton-safetensors