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debadas
/
dog

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

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

  • Libraries
  • Diffusers

    How to use debadas/dog 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("debadas/dog")
    
    prompt = "a photo of sks dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
dog
53.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
debadas's picture
debadas
End of training
17f07dd over 2 years ago
  • checkpoint-100
    End of training over 2 years ago
  • checkpoint-200
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  • checkpoint-300
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  • checkpoint-400
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  • checkpoint-500
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    625 Bytes
    End of training over 2 years ago
  • image_0.png
    328 kB
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  • image_1.png
    404 kB
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  • image_2.png
    357 kB
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  • image_3.png
    327 kB
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  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training over 2 years ago