Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

tensorart
/
Bokeh_Depth_Controlnet

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

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

  • Libraries
  • Diffusers

    How to use tensorart/Bokeh_Depth_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_Depth_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_Depth_Controlnet / images
10.3 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
xueyao
Initial commit
5ff0f12 about 1 year ago
  • 001.png
    3.05 MB
    xet
    Initial commit about 1 year ago
  • 001_depth.png
    123 kB
    xet
    Initial commit about 1 year ago
  • 002.png
    1.6 MB
    xet
    Initial commit about 1 year ago
  • 002_depth.png
    51.9 kB
    xet
    Initial commit about 1 year ago
  • 003.png
    2.29 MB
    xet
    Initial commit about 1 year ago
  • 003_depth.png
    139 kB
    xet
    Initial commit about 1 year ago
  • 004.png
    2.98 MB
    xet
    Initial commit about 1 year ago
  • 004_depth.png
    78.9 kB
    xet
    Initial commit about 1 year ago