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nupurkmr9
/
penguin

Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use nupurkmr9/penguin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nupurkmr9/penguin with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nupurkmr9/penguin", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "photo of a <new1> cat"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
penguin / checkpoint-250
949 MB
Ctrl+K
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  • 1 contributor
History: 15 commits
nupurkmr9's picture
nupurkmr9
End of training
aa3862d over 3 years ago
  • custom_checkpoint_0.pkl
    76.7 MB
    xet
    End of training over 3 years ago
  • optimizer.bin
    304 MB
    xet
    End of training over 3 years ago
  • pytorch_model.bin
    76.7 MB
    xet
    End of training over 3 years ago
  • pytorch_model_1.bin
    492 MB
    xet
    End of training over 3 years ago
  • random_states_0.pkl
    15.6 kB
    xet
    End of training over 3 years ago
  • scheduler.bin
    563 Bytes
    xet
    Upload . with huggingface_hub over 3 years ago