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
"Why do models labeled as 'refiners' always produce repeated images?
#15
by BUCKYGOGO - opened
This could happen, when the denoising strength is high. Personally i set it to between 0,2 and 0,5 mostly.
Because they're only trained to denoise the final 20% at most, so they only learn micro-details, not composition. Are you trying to produce a whole image with just the refiner?
Try the image dimensions. It's happening because you are most likely asking for a portrait, headshot or closeup and your canvas is tall. Try a square canvas, same prompt. Whatever it is.
