Image-to-Image
Diffusers
ONNX
English
ORTStableDiffusionXLImg2ImgPipeline
art
stable-diffusion-xl
onnxruntime-directml
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
- Xet hash:
- fc67d4e47e32197229cadef5d3241354d6586ca2d827ae32cef9e2082da627ef
- Size of remote file:
- 1.39 GB
- SHA256:
- 22d3b8ede9ee4c0f1d3db4916465295e54f1c322008b1aff7750751ebfd9754b
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