Instructions to use stabilityai/stable-diffusion-xl-refiner-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-xl-refiner-1.0 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("stabilityai/stable-diffusion-xl-refiner-1.0", 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
Use SDXL in Automatic1111 RC1.5.1 Web UI
#6
by swumagic - opened
git clong https://github.com/swumagic/stable-diffusion-webui.git
git pull
Upgrade it
NOW it ok.
I recommend using the fp16 VAE
https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/tree/main
Use fp16 fixed VAE, don't use --no-half-vae 。make sure you've set --medvram --xformers。
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