Text-to-Video
Diffusers
Safetensors
MiniMax H3
video
audio
text-to-audio-video
distillation
dmd2
few-step
fastvideo
fasth3
Instructions to use FastVideo/FastVideo-FastH3-8-Step-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastVideo-FastH3-8-Step-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/FastVideo-FastH3-8-Step-V2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 1,064 Bytes
b598adf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | MiniMax H3 is licensed under the MiniMax H3 Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved.
FastVideo-FastH3-8-Step-V2 is a modified MiniMax H3 model from the FastVideo team.
The transformer/*.safetensors files contain the DMD2-distilled, VSA-H3 student
at training step 1300, not the original MiniMax H3 transformer weights.
The accompanying transformer configuration and index describe that student.
The scheduler configurations and fastvideo_inference.json describe its trained
eight-forward schedule, video/audio shifts 10/3, and 80% tile-64 VSA policy.
The modular model index, model card, and release/provenance documentation were
prepared by FastVideo for this derivative.
The bundled text encoder, tokenizer, processor, video VAE and audio VAE weights
are unmodified MiniMax H3 components. The Qwen3-VL encoder is licensed under
Apache License 2.0; a copy is included as LICENSE-Qwen3-VL.
Source: https://github.com/QwenLM/Qwen3-VL
The model license is provided in LICENSE. These notices do not replace or
modify its terms.
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