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license: mit
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pipeline_tag: image-to-image
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# *Leffa*: Learning Flow Fields in Attention for Controllable Person Image Generation
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[π Paper](https://arxiv.org/abs/2412.08486) - [π₯ Demo](https://huggingface.co/spaces/franciszzj/Leffa) - [π€ Model](https://huggingface.co/franciszzj/Leffa)
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*[Leffa](https://en.wiktionary.org/wiki/leffa)* is a unified framework for controllable person image generation that enables precise manipulation of both appearance (i.e., virtual try-on) and pose (i.e., pose transfer).
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# *Leffa*: Learning Flow Fields in Attention for Controllable Person Image Generation
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[π Paper](https://arxiv.org/abs/2412.08486) - [π€ Code](https://github.com/franciszzj/Leffa) - [π₯ Demo](https://huggingface.co/spaces/franciszzj/Leffa) - [π€ Model](https://huggingface.co/franciszzj/Leffa)
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## News
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- 16/Dec/2024, the virtual try-on [model](https://huggingface.co/franciszzj/Leffa/blob/main/virtual_tryon_dc.pth) trained on DressCode is released.
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- 12/Dec/2024, the HuggingFace [demo](https://huggingface.co/spaces/franciszzj/Leffa) and [models](https://huggingface.co/franciszzj/Leffa) (virtual try-on model trained on VITON-HD and pose transfer model trained on DeepFashion) are released.
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- 11/Dec/2024, the [arXiv](https://arxiv.org/abs/2412.08486) version of the paper is released.
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*[Leffa](https://en.wiktionary.org/wiki/leffa)* is a unified framework for controllable person image generation that enables precise manipulation of both appearance (i.e., virtual try-on) and pose (i.e., pose transfer).
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