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pureexe
/
chromeball-sdxl-ev0

Image-to-Image
Diffusers
Safetensors
ControlNetModel
StableDiffusionXLControlNetInpaintPipeline
ControlNetModel
stable-diffusion-xl
inpainting
light-estimation
relighting
Model card Files Files and versions
xet
Community
1

Instructions to use pureexe/chromeball-sdxl-ev0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use pureexe/chromeball-sdxl-ev0 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("pureexe/chromeball-sdxl-ev0", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a perfect mirrored reflective chrome ball sphere"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
chromeball-sdxl-ev0
5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
pureexe's picture
pureexe
Update README.md
7633a8f verified over 2 years ago
  • .gitattributes
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    initial commit over 2 years ago
  • README.md
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    Update README.md over 2 years ago
  • config.json
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  • diffusion_pytorch_model.safetensors
    5 GB
    xet
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