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Please give me a star if you find it interesting!
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> **OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on**<br>
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> [Yuhao Xu](https://scholar.google.com/citations?user=FF7JVLsAAAAJ&hl=zh-CN), [Tao Gu](https://github.com/T-Gu), [Weifeng Chen](https://github.com/
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> Xiao-i Research
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Please give me a star if you find it interesting!
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> **OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on**<br>
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> [Yuhao Xu](https://scholar.google.com/citations?user=FF7JVLsAAAAJ&hl=zh-CN), [Tao Gu](https://github.com/T-Gu), [Weifeng Chen](https://github.com/ShineChen1024), and [Chengcai Chen](https://www.researchgate.net/profile/Chengcai-Chen)<br>
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> Xiao-i Research
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🥳🥳 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!
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* We use checkpoints of [humanparsing](https://github.com/GoGoDuck912/Self-Correction-Human-Parsing) and [openpose](https://huggingface.co/lllyasviel/ControlNet/tree/main/annotator/ckpts) in preprocess. Please refer to their guidance if you encounter relevant environmental issues
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* Please download [clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) into ***checkpoints*** folder
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* We've only tested our code and models on Linux (Ubuntu 22.04)
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