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Nurburgring
/
BEYOND_REALITY_Z_IMAGE

Text-to-Image
Diffusers
Chinese
art
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Diffusers

    How to use Nurburgring/BEYOND_REALITY_Z_IMAGE with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Nurburgring/BEYOND_REALITY_Z_IMAGE", 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 Settings
  • Draw Things
  • DiffusionBee
BEYOND_REALITY_Z_IMAGE / assets
41.6 MB
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  • 1 contributor
History: 3 commits
Nurburgring's picture
Nurburgring
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