Diffusers
Safetensors
MiniMax H3
video-generation
reference-to-video
text-to-audio-video
fastvideo
fasth3-omni
Instructions to use FastVideo/FastVideo-FastH3-Omni-8-Step-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastVideo-FastH3-Omni-8-Step-V1 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-Omni-8-Step-V1", 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
2 days ago
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Add Nuva Lab acknowledgement and link
Verified signatureAdds a short Acknowledgements section before License that credits Nuva Lab and links https://nuvalab.ai/fasth3/. No other line changes.02b4c13 -
Use FastH3 Omni name and add local AI recipes
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Finalize FastH3 OmniRef release model card
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14 days ago
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Add usage
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Upload model files
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Remove files
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Rename to FastVideo-FastH3-Omni-8-Step-V1 (formerly FastH3-OmniRef-v5-DMPDD8-w03-cfg2-step3500)
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17 days ago
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Add files using upload-large-folder tool
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initial commit
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