Text-to-Video
Diffusers
Safetensors
MiniMax H3
video
audio
text-to-audio-video
distillation
dmd2
few-step
fastvideo
fasth3
preview
Instructions to use FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900 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-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900", 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
Commit History
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[docs]: restore Hugging Face download tracking
Verified signatureSet the model card library_name to diffusers so Hugging Face uses the registered query-file rule for this artifact layout.0354979
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docs: add linked FastH3 acknowledgements
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[docs] fix FastH3 installation instructions
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[docs] simplify FastH3 model card
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[docs] add FastVideo logo to model card
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[docs]: document the FastH3 VSA kernel requirement
Verified signatureState prominently that this checkpoint requires FastVideo VSA-H3 and the Video Sparse Attention kernel.69f0780 -
[docs]: align FastH3 Preview v1 naming
Verified signatureUpdate the model card and package self-references after the server-side repository rename.73fd3ad -
Add files using upload-large-folder tool
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Add files using upload-large-folder tool
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initial commit
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