AnimateDiff-Lightning: Cross-Model Diffusion Distillation
<|reference_start|>AnimateDiff-Lightning: Cross-Model Diffusion Distillation: 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.<|reference_end|>
@article{lin2024animatediff-lightning:,
    title={AnimateDiff-Lightning: Cross-Model Diffusion Distillation},
    author={Shanchuan Lin, Xiao Yang},
    journal={arXiv preprint arXiv:2403.12706},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.12706},
    primaryClass={cs.CV cs.AI}
}