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Ryukijano
/
CatCon-Controlnet-WD-1-5-b2R

Text-to-Image
Diffusers
JAX
PyTorch
StableDiffusionPipeline
stable-diffusion
jax-diffusers-event
Model card Files Files and versions
xet
Community

Instructions to use Ryukijano/CatCon-Controlnet-WD-1-5-b2R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Ryukijano/CatCon-Controlnet-WD-1-5-b2R with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Ryukijano/CatCon-Controlnet-WD-1-5-b2R", 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

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