FastVideo/FastVideo-FastH3-8-Step-V2

text-to-video model by FastVideo

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The FastH3 8-Step V2 checkpoint from FastVideo. It generates synchronized video and audio from text with eight transformer forwards. This step-1300 model was trained with data-free DMD2 and VSA-H3 at 80% sparsity. Blog · FastH3 collection Install uv, then use the CUDA 13 / Blackwell path below. It selects FastVideo's published CUDA kernel wheel instead of compiling the kernel locally. See the installation guide for other platforms. The tested defaults use four B200 GPUs and the trained eight-forward schedule. On other multi-GPU CUDA systems, follow the installation guide and add --no-replicated-dit --vsa-kernel triton --no-fa4. The GPU count must divide H3's 56 attention heads. This checkpoint supports text-to-audio-video generation. FL2VA and Ref2VA were not distilled. Difficult motion, fine detail, and some audio may remain below the base MiniMax H3 model. This checkpoint inherits the MiniMax H3…

FastVideo/FastVideo-FastH3-8-Step-V2 on Hugging Face A short preview, not the full document.

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  1. FastVideo-FastH3-8-Step-V2
  2. Run with FastVideo
  3. Scope
  4. Acknowledgements

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Model overview

FastVideo/FastVideo-FastH3-8-Step-V2 is a text-to-video model repository published by FastVideo on Hugging Face. The source reports the diffusers library.

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Model facts

Task
text-to-video
Library
diffusers
Recent downloads (30 days)
3,587
Cumulative likes
129
Hugging Face trending score
9
Reported safetensors parameters
35,049,751,296
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-09-04T23:19:56.000Z
Last modified
2026-09-15T15:05:13.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: MiniMaxAI/MiniMax-H3

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-16T06:43:24.841Z. Daily imports are snapshots, not real-time monitoring.

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