HN compresses 31B video‑audio diffusion model to 14B in six steps, INT8
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| Source: HN | Original article
Developers reduced a 31‑billion‑parameter video‑audio diffusion model to 14 billion parameters, enabling generation in six INT8 steps.
Video Rebirth has unveiled HyperFlow H3 Flash, an open‑source variant of its MiniMax‑H3 diffusion system that slashes a 31‑billion‑parameter video‑plus‑audio model down to roughly 14 billion parameters. The compression, achieved through INT8 quantisation, also reduces the sampling schedule to just six steps and eliminates the need for classifier‑free guidance. By default the model produces 5.2‑ to 15‑second clips at 24 fps and 1344 × 768 resolution, complete with 32 kHz stereo audio.
The breakthrough matters because it cuts inference cost dramatically. A 5.2‑second clip renders in about 92 seconds on a single RTX 5090, drops to 8.7 seconds on a four‑GPU B200 setup, and reaches real‑time speeds on four Blackwell GPUs using the SOL‑H3 engine. All weights, ComfyUI nodes and GGUF deployment files are released publicly, lowering the barrier for developers and researchers who previously needed high‑end hardware to experiment with multimodal diffusion.
The community will be watching how quickly the model is integrated into existing pipelines such as ComfyUI and whether other teams adopt the compression techniques for their own large‑scale generative models. Performance on consumer‑grade GPUs, further reductions in parameter count, and extensions to longer or higher‑resolution video are natural next steps. If the speed and cost advantages hold up, HyperFlow H3 Flash could accelerate the rollout of high‑fidelity video‑audio generation across both research labs and commercial applications.
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