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AxlMk2
/
P3

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

Instructions to use AxlMk2/P3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AxlMk2/P3 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AxlMk2/P3", 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
P3 / tokenizer
1.59 MB
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  • 1 contributor
History: 1 commit
AxlMk2's picture
AxlMk2
Upload diffusers format: P3
3cd4eae verified about 2 years ago
  • merges.txt
    525 kB
    Upload diffusers format: P3 about 2 years ago
  • special_tokens_map.json
    588 Bytes
    Upload diffusers format: P3 about 2 years ago
  • tokenizer_config.json
    705 Bytes
    Upload diffusers format: P3 about 2 years ago
  • vocab.json
    1.06 MB
    Upload diffusers format: P3 about 2 years ago