Geometry-Aware Attention Guidance for Diffusion Models via Modern Hopfield Dynamics

In three linesGAG (Geometry-Aware Attention Guidance) improves diffusion models without additional training by guiding attention via modern Hopfield dynamics. Theoretical analysis proves sparse-dense discrepancy acts as directional acceleration signal. Universal method tested on FLUX.1, FLUX.2, Qwen-Image with quality gains and minimal computational overhead.

Summary generated by Claude — human-verified