We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
A foundation model that generates synchronized video and audio in a single model
VA-Judger: Reward Modeling from Human Preference Feedback for Joint Video-Audio Generation. To our knowledge, it's the first reward model for joint video-audio generation
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MiniMax-H3 multi-GPU parallel inference for ComfyUI | 多卡并行加速节点:2-8 GPU Ulysses sequence parallel, bit-identical video+audio generation