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callgg
/
t2v-decoder

Diffusers
Safetensors
WanPipeline
Model card Files Files and versions
xet
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Instructions to use callgg/t2v-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use callgg/t2v-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/t2v-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
t2v-decoder
529 MB
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  • 1 contributor
History: 4 commits
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chatpig
Update README.md
499ebd3 verified 12 months ago
  • scheduler
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  • tokenizer
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  • README.md
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  • model_index.json
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