Accelerating Diffusion-based Video Editing via Heterogeneous Caching: Beyond Full Computing at Sampled Denoising Timestep

Researchers introduce HetCache, a training-free acceleration framework for diffusion-based video editing that achieves 2.67x speedup by selectively caching contextually relevant tokens instead of processing all attention operations. The method reduces computational redundancy in Diffusion Transformers while maintaining video editing quality and consistency.