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jaruce
/
cache

Diffusers
Safetensors
StableDiffusionXLInstructPix2PixPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use jaruce/cache with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("jaruce/cache", 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
cache / tokenizer_2
1.59 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
jaruce's picture
jaruce
End of training
ae0009b verified 11 months ago
  • merges.txt
    525 kB
    End of training 11 months ago
  • special_tokens_map.json
    460 Bytes
    End of training 11 months ago
  • tokenizer_config.json
    855 Bytes
    End of training 11 months ago
  • vocab.json
    1.06 MB
    End of training 11 months ago