Wave Forcing: Towards Speed-of-Light Streaming Video Generation
READ THE ORIGINAL SOURCEOpen original sourcehuggingface.co · Opens in a new tabWave Forcing is a training and execution framework for streaming video generation. It uses wavefront scheduling, where later chunks begin denoising before earlier chunks finish, and chunk-wise causal attention over cleaner intermediate states. Wave Runtime (WaveRT) uses Wave Parallelism for early K/V delivery and communication-computation overlap. On Wan2.1-T2V-1.3B, 5-step WF is reported to maintain quality comparable to Rolling Forcing while improving Dynamic Degree. On eight H200 GPUs, 4-step WF reportedly reaches 134.8 end-to-end FPS.
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- Primary sourceHugging Face Daily Papers
- Discovery linkHugging Face
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Wave Forcing is a training and execution framework for streaming video generation. It uses wavefront scheduling, where later chunks begin denoising before earlier chunks finish, and chunk-wise causal attention over cleaner intermediate states. Wave Runtime (WaveRT) uses Wave Parallelism for early K/V delivery and communication-computation overlap. On Wan2.1-T2V-1.3B, 5-step WF is reported to maintain quality comparable to Rolling Forcing while improving Dynamic Degree. On eight H200 GPUs, 4-step WF reportedly reaches 134.8 end-to-end FPS.
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Key findings from the stored brief
- Wavefront scheduling lets later video chunks start denoising before earlier chunks finish, using their cleaner intermediate states as causal context.
- On Wan2.1-T2V-1.3B, 5-step WF reportedly keeps overall quality comparable to Rolling Forcing while raising Dynamic Degree.
- 4-step WF reportedly achieves 147.6 DiT FPS and 134.8 end-to-end FPS on eight H200 GPUs.
- In DiT-only tests with matched backends, WP reportedly delivers up to 2.53x the throughput of Ulysses and Ring baselines.
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Why this may matter
Real-time long-video generation requires continuous output with consistent appearance and natural motion. Wave Forcing targets both generation efficiency and long-rollout quality, which could matter for interactive and streaming video applications if the reported gains hold.
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