2026
LearniBridge: Learnable Calibration of Feature Caching for Diffusion Models Acceleration
ICML 2026poster
Diffusion Transformers (DiTs) have driven substantial progress in image and video generation but suffer from prohibitive computational costs. Feature caching accelerates inference by reusing intermediate representations. Existing methods rely on historical features for implementation simplicity, yet…