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https://github.com/vladmandic/automatic
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- [WAN 2.2 14B VACE](https://huggingface.co/alibaba-pai/Wan2.2-VACE-Fun-A14B)
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available for *text-to-image* and *text-to-video* and *image-to-video* workflows
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- [Tencent FLUX.1 Dev SRPO](https://huggingface.co/tencent/SRPO)
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SRPO is trained by with specific technique: Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
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SRPO is trained by Tencent with specific technique: Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
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- [Nunchaku SDXL](https://huggingface.co/nunchaku-tech/nunchaku-sdxl) and [Nunchaku SDXL Turbo](https://huggingface.co/nunchaku-tech/nunchaku-sdxl-turbo)
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impact of nunchaku engine on unet-based model such as sdxl is much less than on a dit-based models, but its still significantly faster than baseline
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note that nunchaku optimized and prequantized unet is replacement for base unet, so its only applicable to base models, not any of finetunes
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