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greentree
/
SDXL-Refiner-olive-optimized

Image-to-Image
Diffusers
ONNX
English
ORTStableDiffusionXLImg2ImgPipeline
art
stable-diffusion-xl
onnxruntime-directml
Model card Files Files and versions
xet
Community
1

Instructions to use greentree/SDXL-Refiner-olive-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use greentree/SDXL-Refiner-olive-optimized 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("greentree/SDXL-Refiner-olive-optimized", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    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
SDXL-Refiner-olive-optimized
9.19 GB
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  • 1 contributor
History: 14 commits
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greentree
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