RainFusion2.0 delivers 80% sparse attention in DiT models for video and image generation, yielding 1.5-1.8x end-to-end speedup with no quality loss via hardware-efficient block-wise prediction.
PAROA ttention: Pattern-aware reordering for efficient sparse and quantized attention in visual generation models
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RainFusion2.0: Temporal-Spatial Awareness and Hardware-Efficient Block-wise Sparse Attention
RainFusion2.0 delivers 80% sparse attention in DiT models for video and image generation, yielding 1.5-1.8x end-to-end speedup with no quality loss via hardware-efficient block-wise prediction.