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MaxReynolds
/
BoltNet-inversion-style

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

Instructions to use MaxReynolds/BoltNet-inversion-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MaxReynolds/BoltNet-inversion-style with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MaxReynolds/BoltNet-inversion-style", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of sks bolt"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
BoltNet-inversion-style / logs /dreambooth
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History: 1 commit
MaxReynolds's picture
MaxReynolds
End of training
ad9f673 over 2 years ago
  • 1700437750.36015
    End of training over 2 years ago
  • 1700437750.362059
    End of training over 2 years ago
  • events.out.tfevents.1700437750.2c711226df38.4660.0
    33.4 kB
    xet
    End of training over 2 years ago