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Leveraging temporal differences can dramatically enhance video-to-audio generation quality, outperforming even dedicated multimodal representations.
Voice-controlled video generation just got a major upgrade with Vidu S1, achieving real-time performance without visual distortion.
Trainable INT8 attention can match full-precision attention during pre-training, but only if you normalize QK and reduce tokens per step.