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ljh415
/
dreambooth

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

Instructions to use ljh415/dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ljh415/dreambooth 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-2", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ljh415/dreambooth")
    
    prompt = "a photo of sks dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
dreambooth / text_encoder
492 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ljh415's picture
ljh415
End of training
c3354dd over 2 years ago
  • config.json
    612 Bytes
    End of training over 2 years ago
  • model.safetensors
    492 MB
    xet
    End of training over 2 years ago