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FastVideo
/
FastH3-Omni-NVFP4-QAD

Diffusers
Safetensors
MiniMax H3
video-generation
reference-to-video
text-to-audio-video
fastvideo
fasth3-omni
nvfp4
qad
Model card Files Files and versions
xet
Community
1

Instructions to use FastVideo/FastH3-Omni-NVFP4-QAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use FastVideo/FastH3-Omni-NVFP4-QAD 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/FastH3-Omni-NVFP4-QAD", 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
FastH3-Omni-NVFP4-QAD / transformer
39.7 GB
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  • 3 contributors
History: 1 commit
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aryan5v
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  • amax.sha256
    135 Bytes
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  • config.json
    566 Bytes
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  • diffusion_pytorch_model-00001-of-00006.safetensors
    5.37 GB
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  • diffusion_pytorch_model-00002-of-00006.safetensors
    5.2 GB
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  • diffusion_pytorch_model-00003-of-00006.safetensors
    5.2 GB
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  • diffusion_pytorch_model-00004-of-00006.safetensors
    5.2 GB
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  • diffusion_pytorch_model-00005-of-00006.safetensors
    5.2 GB
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  • diffusion_pytorch_model-00006-of-00006.safetensors
    1.56 GB
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  • diffusion_pytorch_model.safetensors.index.json
    34.2 kB
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  • nvfp4_weights.safetensors
    11.9 GB
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