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Haven’t Heard of Lightning Fast Video Generation Models?
- Many video generation models currently have one quite big problem, which is the time it takes them to generate a video.
- AnimateDiff-Lightning proposed to use a new method called cross-model distillation to allow AnimateDiff-Lightning to generate videos in as quick as 10–15 seconds.
- AnimateDiff leverages pre-trained image diffusion models and enhances them to handle videos by adding motion modules to adapt image generation to video generation.
- AnimateDiff-Lightning uses two processes called Progressive Distillation and Adversarial Loss to generate videos.
- Progressive distillation is a process where a teacher model that is pre-trained that can do the task in 5 steps, and a student model trained to do the same task but in as few steps as possible.
- Cross-Model Distillation is an approach where they distill the motion module on all selected models at the same time.
- AnimateDiff-Lightning represents a significant leap forward in video generation, addressing the persistent challenge of balancing speed and quality.
- The model achieves remarkable efficiency without compromising output fidelity.
- The innovative application of cross-model distillation further sets it apart, enabling a shared motion module to work seamlessly with various base models.
- Now you only need to wait 10 seconds to see Spiderman eating fries in Disney Land.
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