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TimoH
/
spotify_sleep_dataset_256_256

Unconditional Image Generation
Diffusers
Safetensors
AudioDiffusionPipeline
mel-spectrogram
diffusion
unconditional image generation
Model card Files Files and versions
xet
Community

Instructions to use TimoH/spotify_sleep_dataset_256_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TimoH/spotify_sleep_dataset_256_256 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("TimoH/spotify_sleep_dataset_256_256", 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
spotify_sleep_dataset_256_256
455 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
TimoH's picture
TimoH
Create README.md
4f1a587 verified over 1 year ago
  • mel
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  • model_index.json
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