Hao AI Lab · Video Generation Speedup

FastH3 Preview

A distilled, step-reduced student of MiniMax's H3 text-to-video-and-audio transformer, cutting 49 denoising steps to four using Distribution Matching Distillation plus Video Sparse Attention at roughly 90% sparsity in 64-token blocks, with text and audio kept dense. On 8x B200 it generates 15 seconds of 768p in under 13 seconds — 14.38x over base H3 — and 12.88x on a single B200, where latency falls from 678.7s to 47.2s. Trained with 1k+ B200 hours on multi-shot audio-visual data. Preview v1 is text-to-video-and-audio only; weights and a pre-extracted LoRA are on Hugging Face under the MiniMax H3 Community Licence, inference code is open and training code is pending.