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can34
/
Modill

Text-to-Image
Diffusers
art
Model card Files Files and versions
xet
Community
1

Instructions to use can34/Modill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use can34/Modill with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("can34/Modill", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
Modill
2.14 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
can34's picture
can34
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  • Modill.ckpt

    Detected Pickle imports (3)

    • "torch.HalfStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    2.13 GB
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  • README.md
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