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nlightcho
/
control_sd15_scribble

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

Instructions to use nlightcho/control_sd15_scribble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nlightcho/control_sd15_scribble with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nlightcho/control_sd15_scribble", 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
control_sd15_scribble
6.93 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
nlightcho's picture
nlightcho
Initial commit
98c35d3 about 3 years ago
  • controlnet
    Initial commit about 3 years ago
  • feature_extractor
    Initial commit about 3 years ago
  • safety_checker
    Initial commit about 3 years ago
  • scheduler
    Initial commit about 3 years ago
  • text_encoder
    Initial commit about 3 years ago
  • tokenizer
    Initial commit about 3 years ago
  • unet
    Initial commit about 3 years ago
  • vae
    Initial commit about 3 years ago
  • .gitattributes
    49 Bytes
    Initial commit about 3 years ago
  • LICENSE.txt
    11.4 kB
    Initial commit about 3 years ago
  • README.md
    297 Bytes
    Initial commit about 3 years ago
  • model_index.json
    656 Bytes
    Initial commit about 3 years ago