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NightOcean
/
cat-blip-datasets

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

Instructions to use NightOcean/cat-blip-datasets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use NightOcean/cat-blip-datasets with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("NightOcean/cat-blip-datasets")
    
    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
cat-blip-datasets
153 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
NightOcean's picture
NightOcean
End of training
984cf3c about 3 years ago
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  • .gitattributes
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  • README.md
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  • image_0.png
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  • pytorch_lora_weights.bin
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