FeatFix: Reuse What You Verify through Local Exact-Feature Correction for Faster Cached Diffusion Inference
FeatFix is introduced, a local exact-feature correction method for cached diffusion inference that replaces the complete draft block output with the exact output computed from the same incoming state, avoiding token- or channel-level partial replacement and full-timestep recomputation.