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- Sparse-VideoGen (基于高像素级保真度的视频加速生成): [Sparse-VideoGen](https://github.com/svg-project/Sparse-VideoGen) by [University of California, Berkeley](https://svg-project.github.io/)
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- FramePack (将输入帧上下文打包到下一帧预测模型中用于视频生成): [FramePack](https://github.com/lllyasviel/FramePack) by [Lvmin Zhang](https://github.com/lllyasviel)
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- Jenga (加速采样): [Jenga](https://github.com/dvlab-research/Jenga) by [DV Lab](https://github.com/dvlab-research)
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- DCM (用于高效高质量视频生成的双专家一致性模型): [DCM]([https://github.com/dvlab-research/Jenga](https://github.com/Vchitect/DCM)) by [Vchitect](https://github.com/Vchitect/DCM)
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- DCM (用于高效高质量视频生成的双专家一致性模型): [DCM]([https://github.com/dvlab-research/Jenga](https://github.com/Vchitect/DCM) by [Vchitect](https://github.com/Vchitect/DCM)
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