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Hawk91
/
sd-Pokemon

Unconditional Image Generation
Diffusers
PyTorch
DDPMPipeline
diffusion-models-class
Model card Files Files and versions
xet
Community

Instructions to use Hawk91/sd-Pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Hawk91/sd-Pokemon with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Hawk91/sd-Pokemon", 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
sd-Pokemon
18.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Hawk91's picture
Hawk91
Update README.md
59d7f13 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    537 Bytes
    Update README.md over 3 years ago
  • config.json
    700 Bytes
    Uploaded on 08/12/22 over 3 years ago
  • diffusion_pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    18.7 MB
    xet
    Uploaded on 08/12/22 over 3 years ago
  • model_index.json
    180 Bytes
    Uploaded on 08/12/22 over 3 years ago
  • scheduler_config.json
    299 Bytes
    Uploaded on 08/12/22 over 3 years ago