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BiliSakura
/
W-Flow-diffusers

Unconditional Image Generation
Diffusers
Safetensors
English
w-flow
image-generation
class-conditional
one-step
imagenet
Model card Files Files and versions
xet
Community

Instructions to use BiliSakura/W-Flow-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use BiliSakura/W-Flow-diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("BiliSakura/W-Flow-diffusers", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "golden retriever"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
W-Flow-diffusers
6.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
BiliSakura's picture
BiliSakura
Upload W-Flow-diffusers checkpoints
f43f486 verified 2 days ago
  • W-Flow-B
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  • W-Flow-L
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  • W-Flow-XL
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  • .gitattributes
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  • .gitignore
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  • README.md
    3.39 kB
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  • demo-L.png
    99.9 kB
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  • demo-XL.png
    87.7 kB
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  • demo.png
    126 kB
    xet
    Upload W-Flow-diffusers checkpoints 2 days ago