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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 / vae_decoder_nvfp4
1.39 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
aryan5v's picture
aryan5v
Add the full inference stack: encoder, VAEs, decoders and configs
3334982 verified 3 days ago
  • config.json
    1.73 kB
    Add the full inference stack: encoder, VAEs, decoders and configs 3 days ago
  • decoder-nvfp4.safetensors
    1.39 GB
    xet
    Add the full inference stack: encoder, VAEs, decoders and configs 3 days ago