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callgg
/
wan2-decoder

Diffusers
Safetensors
WanPipeline
Model card Files Files and versions
xet
Community

Instructions to use callgg/wan2-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use callgg/wan2-decoder with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("callgg/wan2-decoder", 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-decoder / tokenizer
21.5 MB
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  • 1 contributor
History: 1 commit
chatpig's picture
chatpig
Upload 7 files
c34c735 verified 9 months ago
  • special_tokens_map.json
    7.08 kB
    Upload 7 files 9 months ago
  • spiece.model
    4.55 MB
    xet
    Upload 7 files 9 months ago
  • tokenizer.json
    16.8 MB
    xet
    Upload 7 files 9 months ago
  • tokenizer_config.json
    61.8 kB
    Upload 7 files 9 months ago