Acceleration method for an open reference-to-video model, cutting 50 steps to 8 with up to 12x lower latency on GB200s. Released variants include ComfyUI, FP8, FP4 and Apple silicon.
FastH3 Omni
by Hao AI Lab
Distilled MiniMax H3 reference-to-video-and-audio model from Hao AI Lab, generating in 8 steps instead of 50.
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FastH3 Omni at a glance
- What is FastH3 Omni?
- FastH3 Omni is a model from Hao AI Lab. Distilled MiniMax H3 reference-to-video-and-audio model from Hao AI Lab, generating in 8 steps instead of 50.
- Who makes FastH3 Omni?
- FastH3 Omni is made by Hao AI Lab.
- Does FastH3 Omni work in the EU?
- Available in the EU. Open-weights model released for download and self-hosting, with no EU geographic restriction seen in the provided pages. The base MiniMax H3 license terms were not checked. Last verified 14 Nov 2026.
- How much does FastH3 Omni cost?
- Open source. Model weights released openly; run locally or self-host with FastVideo UniServe. Hardware costs apply.
- Where was FastH3 Omni shown?
- In 1 creator video by AI Search. Most recently by AI Search on 25 Oct 2026, at 40:59 in “Cybersecurity chaos, AI for DNA, Kimi K3.1, Claude Duet, Dessa, Fibo 2, Minimax 3.1: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
FastH3 Omni is a distilled version of the MiniMax H3 model for reference-guided video and audio generation, released by Hao AI Lab under the FastVideo project. Given a text prompt plus image, video and voice references, it generates a finished video with synchronized sound. It uses eight transformer evaluations instead of the base model's 50.
According to the vendor, end-to-end latency is 5.6–11.9× lower across 27 matched workloads on eight GB200 GPUs, compared against the base model's full serving recipe. In one example, a 5 s single-image request dropped from 35.44 s to 5.67 s, and a 15 s request from 139.69 s to 14.14 s. FastVideo UniServe is said to reach real-time generation for 768p clips of 5, 10 and 15 s on particular tasks. The vendor states the matched examples are qualitative comparisons, not evidence of output parity with the base model.
For local use, NVFP4 QAD checkpoints and device recipes target DGX Spark and RTX 5090 through FastVideo. ComfyUI support is available, and creator coverage mentions FP8, FP4 and Apple silicon variants. Weights and a UniServe deployment are linked from the announcement blog. The license was not stated in the provided text.
- Distilled to 8 transformer evaluations from 50
- Image, video and voice references with text prompt
- Generates video with synchronized stereo audio
- 5.6–11.9× lower end-to-end latency on eight GB200 GPUs (vendor figures)
- NVFP4 QAD checkpoints for DGX Spark and RTX 5090
- ComfyUI support and UniServe deployment
As seen on YouTube
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