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NOISK8
/
dreambooth-bio

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

Instructions to use NOISK8/dreambooth-bio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use NOISK8/dreambooth-bio 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("NOISK8/dreambooth-bio")
    
    prompt = "criatura especulativa colombiana"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
dreambooth-bio
50 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 26 commits
NOISK8's picture
NOISK8
End of training
a7f4202 verified 9 months ago
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  • README.md
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  • model_lora.ckpt
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  • pytorch_lora_weights.safetensors
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  • training_config.json
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  • validation_prompts.txt
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