Temporal Aware Pruning for Efficient Diffusion-based Video Generation

In three linesTAPE, a training-free pruning method for diffusion-based video generation, reduces computational overhead by intelligently removing tokens while maintaining temporal coherence across frames. It applies temporal smoothing between frames, performs token reselection per layer, and uses timestep-level budget scheduling to prune aggressively at early steps and relax during refinement.

Summary generated by Claude — human-verified