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tensorart
/
Bokeh_Line_Controlnet

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

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

  • Libraries
  • Diffusers

    How to use tensorart/Bokeh_Line_Controlnet with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("tensorart/Bokeh_Line_Controlnet", 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
Bokeh_Line_Controlnet / images
13.3 MB
Ctrl+K
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  • 2 contributors
History: 1 commit
xueyao
Initial commit
bf634e7 about 1 year ago
  • 001.png
    3.13 MB
    xet
    Initial commit about 1 year ago
  • 001_line.png
    326 kB
    xet
    Initial commit about 1 year ago
  • 002.png
    2.44 MB
    xet
    Initial commit about 1 year ago
  • 002_line.png
    1.65 MB
    xet
    Initial commit about 1 year ago
  • 003.png
    2.63 MB
    xet
    Initial commit about 1 year ago
  • 003_line.png
    473 kB
    xet
    Initial commit about 1 year ago
  • 004.png
    2.64 MB
    xet
    Initial commit about 1 year ago
  • 004_line.png
    13.1 kB
    xet
    Initial commit about 1 year ago