Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification
This paper improves the efficiency of video generation by reducing the computational load of attention, a key bottleneck in diffusion transformers. Practitioners can benefit from the speedup achieved by Sol-Attn, which enables faster video generation and editing without compromising visual quality.