UniFL: Improve Stable Diffusion via Unified Feedback Learning
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The paper proposes UniFL, a unified framework that leverages feedback learning to enhance the visual quality, aesthetic appeal, and inference speed of diffusion models like Stable Diffusion, aiming to address these limitations. Method Overview UniFL (Unified Feedback Learning) is a unified, effective generalizable solution that uses feedback learning to enhance diffusion models. UniFL consists of three key components:
UniFL: Improve Stable Diffusion via Unified Feedback Learning
UniFL: Improve Stable Diffusion via Unified…
UniFL: Improve Stable Diffusion via Unified Feedback Learning
The paper proposes UniFL, a unified framework that leverages feedback learning to enhance the visual quality, aesthetic appeal, and inference speed of diffusion models like Stable Diffusion, aiming to address these limitations. Method Overview UniFL (Unified Feedback Learning) is a unified, effective generalizable solution that uses feedback learning to enhance diffusion models. UniFL consists of three key components: