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ccc8
/
cc7

Text-to-Image
Diffusers
stable-diffusion
lora
Model card Files Files and versions
xet
Community

Instructions to use ccc8/cc7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ccc8/cc7 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ccc8/c7", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ccc8/cc7")
    
    prompt = "masterpiece forest"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
cc7
116 MB
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  • 1 contributor
History: 7 commits
ccc8's picture
ccc8
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d48c7a9 verified about 2 years ago
  • .gitattributes
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  • README.md
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  • x.safetensors
    116 MB
    xet
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