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FreeU, a method that substantially improves diffusion model sample quality at no costs: no training, no additional parameter introduced, and no increase in memory or sampling time.
Promising results on image and video generation tasks demonstrate that our FreeU can be readily integrated to existing diffusion models, e.g., Stable Diffusion, DreamBooth, ModelScope, Rerender and ReVersion, to improve the generation quality with only a few lines of code. All you need is to adjust two scaling factors during inference.
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Model/Pipeline/Scheduler description
FreeU, a method that substantially improves diffusion model sample quality at no costs: no training, no additional parameter introduced, and no increase in memory or sampling time.
Promising results on image and video generation tasks demonstrate that our FreeU can be readily integrated to existing diffusion models, e.g., Stable Diffusion, DreamBooth, ModelScope, Rerender and ReVersion, to improve the generation quality with only a few lines of code. All you need is to adjust two scaling factors during inference.
2023-09-23_xiaohuggg_1705418820796723387_og32HqpAfnM9fzVl.mp4
The code is in the readme here:
https://github.com/ChenyangSi/FreeU
Open source status
Provide useful links for the implementation
https://chenyangsi.top/FreeU/
https://github.com/ChenyangSi/FreeU
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