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A next-frame prediction neural network for practical video generation with constant workload regardless of video length.
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FramePack is an innovative neural network structure designed for next-frame (or next-frame-section) prediction in video generation. It compresses input contexts to a constant length, making the generation workload invariant to video length. This allows processing a large number of frames even on laptop GPUs with 13B models. FramePack can be trained with batch sizes similar to image diffusion training, making video diffusion as practical as image diffusion.
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