Abstract: Cache-based timing side-channel attacks are prevalent and correspond to a security threat for both high-end and embedded processors. In this paper, we propose and implement a fine-grained ...

We introduce Timestep Embedding Aware Cache (TeaCache), a training-free caching approach that estimates and leverages the fluctuating differences among model outputs across timesteps, thereby ...

Abstract: As a fundamental backbone for video generation, diffusion models are challenged by low inference speed due to the sequential nature of denoising. Previous methods speed up the models by ...