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How to speed up video generation without sacrificing quality?
Yutong Wang, Yunke Wang, Tianfan Xue, Yu Qiao, Yaohui Wang, Xinyuan Chen, Chang Xu
May 26, 2026
Video diffusion transformers produce stunning results but are computationally expensive. PARE uses two complementary tricks: it prunes less-important attention heads while protecting temporal connections critical for motion, and trains a lightweight router that decides which processing blocks to skip at each denoising step based on current content. Tests on Wan2.1-14B show substantial speedup with no visible quality loss across standard video benchmarks.
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