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GraydientPlatformAPI
/
b15pony

Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
Model card Files Files and versions
xet
Community

Instructions to use GraydientPlatformAPI/b15pony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use GraydientPlatformAPI/b15pony with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/b15pony", 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
b15pony / tokenizer
1.68 MB
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  • 1 contributor
History: 1 commit
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GraydientPlatformAPI
Upload 18 files
331b4f8 verified over 1 year ago
  • merges.txt
    574 kB
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  • special_tokens_map.json
    618 Bytes
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  • tokenizer_config.json
    735 Bytes
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  • vocab.json
    1.11 MB
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