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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
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  • 2 contributors
History: 7 commits
coco22's picture
coco22
Update README.md
fc46238 verified about 1 year ago
  • images
    Initial commit about 1 year ago
  • .gitattributes
    1.6 kB
    Initial commit about 1 year ago
  • README.md
    2.25 kB
    Update README.md about 1 year ago
  • bokeh_cn_workflow.json
    15 kB
    Initial commit about 1 year ago
  • comfy.png
    3.07 MB
    xet
    Initial commit about 1 year ago
  • config.json
    606 Bytes
    Initial commit about 1 year ago
  • diffusion_pytorch_model.safetensors
    4.93 GB
    xet
    Initial commit about 1 year ago
  • show.jpg
    1.34 MB
    xet
    Initial commit about 1 year ago