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mcvertix
/
dreembooth_output

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

  • Libraries
  • Diffusers

    How to use mcvertix/dreembooth_output 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("mcvertix/dreembooth_output")
    
    prompt = "penvink laying and standing on the stony ground, with arctic landscape in the background"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
dreembooth_output
278 MB
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  • 1 contributor
History: 3 commits
mcvertix's picture
mcvertix
End of training
a29ce05 verified over 2 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.safetensors
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