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LumosD
/
sloth

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 LumosD/sloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use LumosD/sloth with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("LumosD/sloth")
    
    prompt = "a photo of sks dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
sloth
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  • 1 contributor
History: 2 commits
LumosD's picture
LumosD
End of training
c78e7f1 over 2 years ago
  • logs
    End of training over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    624 Bytes
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  • image_0.png
    497 kB
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  • image_1.png
    463 kB
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  • image_2.png
    628 kB
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  • image_3.png
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  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training over 2 years ago