Generate AI videos efficiently and locally
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Founded year:
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2000
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Country:
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United States of America
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Funding rounds:
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Not set
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Total funding amount:
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Not set
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Description
FramePack is a revolutionary neural network structure developed by Stanford University researchers for training next-frame prediction models in video generation. By implementing progressive compression that prioritizes frames based on their importance, FramePack maintains a fixed transformer context length regardless of video duration, enabling the processing of significantly more frames without increasing computational requirements. This innovative approach addresses the fundamental "forgetting-drifting dilemma" in video generation, where models typically struggle with either maintaining memory of earlier content or accumulating errors over time, opening new possibilities for high-quality, long-form AI video generation with practical efficiency.