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jkcg
/
dreambooth-learning-trial

Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use jkcg/dreambooth-learning-trial with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("jkcg/dreambooth-learning-trial")
    
    prompt = "kutti patti"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee

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  • .ipynb_checkpoints
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  • README.md
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  • pytorch_lora_weights.safetensors
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