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brathief
/
dogcat

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

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

  • Libraries
  • Diffusers

    How to use brathief/dogcat 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("brathief/dogcat")
    
    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
dogcat
48.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
brathief's picture
brathief
End of training
ef93ba9 about 3 years ago
  • checkpoint-1
    End of training about 3 years ago
  • checkpoint-2
    End of training about 3 years ago
  • logs
    End of training about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    508 Bytes
    End of training about 3 years ago
  • image_0.png
    436 kB
    End of training about 3 years ago
  • image_1.png
    525 kB
    End of training about 3 years ago
  • image_2.png
    446 kB
    End of training about 3 years ago
  • image_3.png
    454 kB
    End of training about 3 years ago
  • pytorch_lora_weights.bin
    3.29 MB
    xet
    End of training about 3 years ago