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kvablack
/
ddpo-compressibility

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Community

Instructions to use kvablack/ddpo-compressibility with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use kvablack/ddpo-compressibility with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("kvablack/ddpo-compressibility", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
ddpo-compressibility / tokenizer
1.59 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Kevin Black
initial commit
b897866 almost 3 years ago
  • merges.txt
    525 kB
    initial commit almost 3 years ago
  • special_tokens_map.json
    472 Bytes
    initial commit almost 3 years ago
  • tokenizer_config.json
    737 Bytes
    initial commit almost 3 years ago
  • vocab.json
    1.06 MB
    initial commit almost 3 years ago