RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling 事件

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling arXiv:2606.06309v1 Announce Type: new Abstract: Video generation models based on Diffusion Transformers (DiTs) have achieved remarkable performance in video synthesis, yet they suffer from high inference latency and computational costs due to the quadratic complexity of 3D attention. Existing acceleration methods primarily reduce computational complexity within each individual denoising steps