Paper · arXiv 2403.12706
AnimateDiff-Lightning: Cross-Model Diffusion Distillation
Shanchuan Lin, Xiao Yang
AnimateDiff-Lightning uses progressive adversarial diffusion distillation for efficient video generation, enhancing style compatibility through joint distillation of multiple diffusion models.
Abstract
We present AnimateDiff-Lightning for lightning-fast video generation. Our model uses progressive adversarial diffusion distillation to achieve new state-of-the-art in few-step video generation. We discuss our modifications to adapt it for the video modality. Furthermore, we propose to simultaneously distill the probability flow of multiple base diffusion models, resulting in a single distilled motion module with broader style compatibility. We are pleased to release our distilled AnimateDiff-Lightning model for the community's use.