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update readme
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README.md
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Star β us if you like it!
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## News
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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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Star β us if you like it!
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## News
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- 09/Jan/2025. Inference defaults to float16, generating an image in 6 seconds (on A100).
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- 02/Jan/2025. Update the mask generator to improve results. Add ref unet acceleration, boosting prediction speed by 30%. Include more controls in Advanced Options to enhance user experience. Enable intermediate result output for easier development. Enjoy using it!
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- 18/Dec/2024. Thanks to @[StartHua](https://github.com/StartHua) for integrating Leffa into ComfyUI! Here is the [repo](https://github.com/StartHua/Comfyui_leffa)!
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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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app.py
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garment_images = list_dir(f"{example_dir}/garment")
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title = "## Leffa: Learning Flow Fields in Attention for Controllable Person Image Generation"
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link = "[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 = """## News
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More news can be found in the [GitHub repository](https://github.com/franciszzj/Leffa).
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"""
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description = "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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garment_images = list_dir(f"{example_dir}/garment")
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title = "## Leffa: Learning Flow Fields in Attention for Controllable Person Image Generation"
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link = """[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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Star β us if you like it!
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"""
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news = """## News
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- 09/Jan/2025. Inference defaults to float16, generating an image in 6 seconds (on A100).
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More news can be found in the [GitHub repository](https://github.com/franciszzj/Leffa).
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"""
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description = "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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