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XGGNet
/
ckpt

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

  • Libraries
  • Diffusers

    How to use XGGNet/ckpt with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("XGGNet/ckpt", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of sks dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
ckpt / logs /dreambooth
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  • 1 contributor
History: 1 commit
XGGNet's picture
XGGNet
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