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wavespeed
/
Wan2.1-T2V-14B-Diffusers-fp16-nf4

Diffusers
WanPipeline
Model card Files Files and versions
xet
Community
2

Instructions to use wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4", 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-14B-Diffusers-fp16-nf4
22 GB
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  • 1 contributor
History: 3 commits
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chengzeyi
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  • scheduler
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  • text_encoder
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  • transformer
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  • vae
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  • .gitattributes
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  • model_index.json
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