Video DeltaNet open-sources hybrid-attention VDN-H3, 14.4s video in 11.2s on 8 B200s
BigWideBaker · reddit · 2026-09-05
The team released VDN-Minimax-H3 (VDN-H3), a hybrid-attention video generation model built on MiniMax H3 that generates video faster than it plays.
Key points:
- Fast inference: a 14.4-second clip in 11.23 seconds with 8 denoising steps on 8 B200 GPUs
- Hybrid architecture: a frame-wise linear attention branch for efficiency plus a softmax branch preserving the backbone's visual quality and consistency
- Plug-and-play: adds a separate linear attention branch and two small LoRA adapters that merge into the backbone at inference, leaving backbone weights untouched
- Fully open-source: weights, optimized inference stack, and training code all released
Related event: Open-Source Video Delta Net Pushes Video Generation Faster Than Playback(8 posts)→
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