---
title: FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF
canonical_url: "https://www.modelscope.cn/models/vantagewithai/FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF"
md_url: "https://www.modelscope.cn/models/vantagewithai/FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF.md"
repository: vantagewithai/FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF
last_updated: 2026-11-12
license: other
pipeline_tag: text-to-video-synthesis
tasks:
  - text-to-video-synthesis
base_model:
  - MiniMaxAI/MiniMax-H3
base_model_relation: quantized
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
downloads: 293
stars: 2
tags:
  - text-to-video
  - video
  - audio
  - text-to-audio-video
  - distillation
  - dmd2
  - few-step
  - minimax-h3
  - fastvideo
  - fasth3
  - gguf
---

# FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF

> FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF - vantagewithai 在 ModelScope 开源的模型。GGUF quants of FastVideo-FastH3-8-Step-V2 for ComfyUI.

vantagewithai/FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF 是 ModelScope 魔搭社区上的text-to-video-synthesis模型，采用 other 许可，基于 MiniMaxAI/MiniMax-H3 构建。

- **Repository**: vantagewithai/FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF
- **License**: other
- **Tasks**: text-to-video-synthesis
- **Base model**: MiniMaxAI/MiniMax-H3
- **Tags**: text-to-video, video, audio, text-to-audio-video, distillation, dmd2, few-step, minimax-h3, fastvideo, fasth3, gguf
- **Downloads**: 293
- **Stars**: 2
- **Last updated**: 2026-11-12

Source: https://www.modelscope.cn/models/vantagewithai/FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF

---

**GGUF quants of FastVideo-FastH3-8-Step-V2 for ComfyUI.**

**Original model repository:** [https://huggingface.co/FastVideo/FastVideo-FastH3-8-Step-V2](https://huggingface.co/FastVideo/FastVideo-FastH3-8-Step-V2)

**Watch us on Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai) 

<p align="center">
  <a href="https://github.com/hao-ai-lab/FastVideo"><img src="https://raw.githubusercontent.com/hao-ai-lab/FastVideo/main/assets/logos/logo.svg" width="320" alt="FastVideo"></a>
</p>

# FastVideo-FastH3-8-Step-V2

The FastH3 8-Step V2 checkpoint from
[FastVideo](https://github.com/hao-ai-lab/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](https://haoailab.com/blogs/fasth3-preview/) ·
[FastH3 collection](https://huggingface.co/collections/FastVideo/fastvideo-fasth3)

> This checkpoint requires FastVideo's VSA-H3 attention backend. Its video
> scheduler shift is 10, not the base model's 12.
> 

## Scope

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 Community License](LICENSE).

## Acknowledgements

We thank [Nuva Lab](https://nuvalab.ai/) for bringing production grounding to FastH3 through its experience with real-world creative video-agent workloads. Its production-aligned post-training insights help bridge open-source research to practical data-assisted distillation for commercial video workflows, with Omni Ref as the next focus.

We thank the [NVIDIA FastGen](https://github.com/NVlabs/FastGen) team for the [DMD2](https://arxiv.org/abs/2405.14867) framework and H3 reference experiment that helped us align the score clock, modality shifts, and backward simulation.

We also thank [MiniMax](https://huggingface.co/MiniMaxAI/MiniMax-H3) for releasing H3-Base, and the [vLLM project](https://vllm.ai/), [NVIDIA](https://www.nvidia.com/en-us/), and [MBZUAI](https://mbzuai.ac.ae/) for their continued sponsorship and support of [FastVideo](https://github.com/hao-ai-lab/FastVideo).