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DonGenialo
/
dreambooth_lora_4

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

Instructions to use DonGenialo/dreambooth_lora_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use DonGenialo/dreambooth_lora_4 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("DonGenialo/dreambooth_lora_4")
    
    prompt = "a pixel art"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee

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  • checkpoint-100
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  • checkpoint-1000
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  • checkpoint-1100
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  • checkpoint-1200
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  • checkpoint-200
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  • checkpoint-300
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  • checkpoint-400
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  • checkpoint-500
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  • checkpoint-600
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  • checkpoint-700
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  • checkpoint-800
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  • checkpoint-900
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  • .gitattributes
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    initial commit about 2 years ago
  • README.md
    1.33 kB
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  • image_0.png
    204 kB
    End of training about 2 years ago
  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training about 2 years ago