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Pixel390
/
TORTOISE

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 Pixel390/TORTOISE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Pixel390/TORTOISE with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/disney-pixar-cartoon", torch_dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Pixel390/TORTOISE")
    
    prompt = "a uxz tortoise"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
TORTOISE / logs /dreambooth-lora
2.44 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Pixel390's picture
Pixel390
End of training
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