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
The uploaded vae safetensor model in fp16
#9
by qiwang - opened
some parameters of vae in fp16 version are stored in float32 mode so that i got an error while runing official code.
unmatching information: Input type (torch.cuda.HalfTensor) and weight type (torch.cuda.FloatTensor)
Solved: the cause of this bug is that i use a conda envrionment with python3.7 and torch1.13, which is incompatible with sdxl.