MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference

MeanCache introduces a training-free caching framework that accelerates Flow Matching inference by using average velocities instead of instantaneous ones. The framework achieves 3.59X to 4.56X acceleration on major AI models like FLUX.1, Qwen-Image, and HunyuanVideo while maintaining superior generation quality compared to existing caching methods.