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
[Diffusers] Re-instate 0.9 VAE as default VAE
#8
by patrickvonplaten - opened
No description provided.
This PR makes the 0.9 VAE the default vae in spirit of https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/commit/3ae1bc5a3612804ff5a124105ba78001f3f5173f .
The 0.9 VAE should also remedy problems as reported in https://github.com/huggingface/diffusers/issues/4363 and https://github.com/huggingface/diffusers/issues/4310
patrickvonplaten changed pull request status to open
multimodalart changed pull request status to merged