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insight - Accelerating diffusion models
FRDiff: Accelerating Diffusion Models through Feature Reuse
FRDiff leverages the temporal redundancy inherent in diffusion models to significantly reduce computation overhead while maintaining output quality through feature reuse, score mixing, and automated hyperparameter tuning.
Efficient Image Generation with Sub-path Linear Approximation Model
The Sub-path Linear Approximation Model (SLAM) accelerates diffusion models while maintaining high-quality image generation by treating the PF-ODE trajectory as a series of sub-paths and using sub-path linear ODEs to form a progressive and continuous error estimation along each sub-path.
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