vmoba-sparse-video-attention

Reduces video diffusion training compute 2.92× through spatio-temporal sparse attention with layer-wise cyclic block partitioning. Maintains generation quality while enabling long-sequence video training. Use when training video models on memory-constrained hardware or processing longer video sequences.

Independent GitHub snapshot · Automated classification · Original documentation governs