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WaveCut
/
Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6

Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6", 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
Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6
759 MB
Ctrl+K
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  • 1 contributor
History: 27 commits
WaveCut's picture
WaveCut
Document OrbitQuant 0.4.0 on-the-fly conversion
7b3a0f8 verified about 5 hours ago
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  • README.md
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  • quantization_config.json
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