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imagepipeline
/
Animagine-XL

Text-to-Image
Diffusers
StableDiffusionXLPipeline
imagepipeline
imagepipeline.io
ultra-realistic
Model card Files Files and versions
xet
Community

Instructions to use imagepipeline/Animagine-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use imagepipeline/Animagine-XL with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("imagepipeline/Animagine-XL", 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
Animagine-XL
6.94 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
image-pipeline's picture
image-pipeline
Upload README.md with huggingface_hub
13eb082 verified over 1 year ago
  • scheduler
    Upload StableDiffusionXLPipeline over 1 year ago
  • text_encoder
    Upload StableDiffusionXLPipeline over 1 year ago
  • text_encoder_2
    Upload StableDiffusionXLPipeline over 1 year ago
  • tokenizer
    Upload StableDiffusionXLPipeline over 1 year ago
  • tokenizer_2
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.11 kB
    Upload README.md with huggingface_hub over 1 year ago
  • model_index.json
    676 Bytes
    Upload StableDiffusionXLPipeline over 1 year ago