vmoba-sparse-video-attention

【效率与协作】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.

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