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bariscal
/
cbst_style

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
cubism
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use bariscal/cbst_style with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("bariscal/cbst_style", 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 Settings
  • Draw Things
  • DiffusionBee
cbst_style
7.75 GB
Ctrl+K
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  • 2 contributors
History: 10 commits
bariscal's picture
bariscal
Update README.md
3fd4514 over 2 years ago
  • samples
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
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  • README.md
    3.15 kB
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  • args.json
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  • art.jpg
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  • face.jpg
    1.05 MB
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  • model.ckpt

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.58 GB
    xet
    Upload model.ckpt over 2 years ago
  • model_index.json
    517 Bytes
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  • place.jpg
    703 kB
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