Real-Time Video Generation with Pyramid Attention Broadcast
Authors: name: Xuanlei Zhao, name: Xiaolong Jin, name: Kai Wang, name: Yang You

We present Pyramid Attention Broadcast (PAB), a real-time, high quality and
training-free approach for DiT-based video generation. Our method is founded on
the observation that attention difference in the diffusion process exhibits a
U-shaped pattern, indicating significant redundancy. We mitigate this by
broadcasting attention outputs to subsequent steps in a pyramid style. It
applies different broadcast strategies to each attention based on their
variance for best efficiency. We further introduce broadcast sequence parallel
for more efficient distributed inference. PAB demonstrates superior results
across three models compared to baselines, achieving real-time generation for
up to 720p videos. We anticipate that our simple yet effective method will
serve as a robust baseline and facilitate future research and application for
video generation.