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FastVideo publishes ComfyUI weights for FastH3 Omni

Original title: FastVideo/FastH3-Omni-Comfy — new model trending #30 on Hugging Face

Hugging Face trending modelsby FastVideo ()2 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

BF16 and INT8 ConvRot checkpoints use eight steps and need MiniMax-H3 text, video and audio VAEs.

FastVideo released ComfyUI-ready BF16 and INT8 ConvRot diffusion models for the final FastH3 Omni release. They generate video and synchronized audio from a prompt plus ordered image, video and audio references. Users install one diffusion checkpoint, a Qwen3-VL text encoder and MiniMax-H3 video and audio VAEs. Accelerated NVFP4 text encoding requires Blackwell hardware, and the weights are under the MiniMax-H3 Community License.

Key facts
  • Recommended sampling is eight steps with guidance 1.0.
  • Video shift is 12.0 and audio shift is 3.0.
  • The INT8 file is fasth3_omniref_8step_pruned_int8_convrot.safetensors.
  • The audio VAE is required for synchronized audio.
  • Nuva Lab co-developed the model and curated the reference dataset.
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From the original article

2 min read at huggingface.co

ComfyUI-ready BF16 and INT8 ConvRot diffusion models for the final FastH3 Omni release. Generate video and synchronized audio from a prompt and ordered image, video and audio references. [Release collection](https://huggingface.

Hugging Face trending models

By FastVideo · huggingface.co

Read the full article at Hugging Face trending models

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.