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AltLuv
/
pokemon-testing

Diffusers
Safetensors
UTTIPipeline
Model card Files Files and versions
xet
Community

Instructions to use AltLuv/pokemon-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AltLuv/pokemon-testing with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AltLuv/pokemon-testing", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
pokemon-testing
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  • 1 contributor
History: 3 commits
AltLuv's picture
AltLuv
End of training
a43e250 over 2 years ago
  • lr_scheduler
    End of training over 2 years ago
  • optimizer
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  • scheduler
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  • text_encoder
    End of training over 2 years ago
  • tokenizer
    End of training over 2 years ago
  • unet
    End of training over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • model_index.json
    329 Bytes
    End of training over 2 years ago