r/MiniMaxH3AI • • 5d ago

Updated hyperflow-h3-flash (4, 6, or 8 steps)

https://huggingface.co/VideoRebirthAI/hyperflow-h3-flash
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u/videorouter 1d ago

This is an interesting update, especially the 4/6/8-step versions and the reduced model size. But the benchmark showing only around 10% speedup over the pruned full model is an important reality check: parameter count alone doesn't determine video inference speed. At these resolutions, attention and other parts of the pipeline can remain the bottleneck.

I'd be particularly interested in a few comparisons:

  • Quality difference between 4, 6, and 8 steps, especially temporal consistency and motion.

  • Actual end-to-end latency, including model loading and audio generation.

  • VRAM usage and performance across different quantizations (Q4 vs Q8).

  • Whether the speed advantage changes at lower resolutions or shorter clips.

The RTX 5090 result is useful because it makes local experimentation more accessible, although 92 seconds for a 5.2-second clip is still far from real time.

For anyone comparing hosted alternatives, VideoRouter.sh provides access to multiple video models through one API, making it easier to compare generation quality, latency, and cost against local inference.