In this episode, we discuss FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality by Zhengyao Lv, Chenyang Si, Junhao Song, Zhenyu Yang, Yu Qiao, Ziwei Liu, Kwan-Yee K. Wong. FasterCache is introduced as a training-free approach that accelerates inference in video diffusion models by reusing features more efficiently, maintaining high video quality. The strategy involves a dynamic feature reuse method and CFG-Cache, which enhances the reuse of conditional and unconditional outputs, effectively reducing redundancy without loss of subtle variations. Experimental results demonstrate that FasterCache offers significant speed improvements, such as a 1.67× increase on Vchitect-2.0, while preserving video quality, outperforming previous acceleration methods.
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