Instructions to use YuCollection/sdxl-1.0-refiner-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YuCollection/sdxl-1.0-refiner-diffusers 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("YuCollection/sdxl-1.0-refiner-diffusers", 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:
- 8a13f198d47e3807596a2b5f4a4904a9df836e12734db1fea60938c4e58bc323
- Size of remote file:
- 167 MB
- SHA256:
- eb6516ab7e1104d5d1a174a4d65c57835ae38061531d0a2192103aecfb790cc1
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