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:
- 26d869f067a353ef9c3e8d8101497a8ab83d35c890d57a6cbb57f2148e99fa39
- Size of remote file:
- 167 MB
- SHA256:
- bcb60880a46b63dea58e9bc591abe15f8350bde47b405f9c38f4be70c6161e68
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