Text-to-Image
Diffusers
Safetensors
StableDiffusionXLInpaintPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
inpainting
Instructions to use diffusers/stable-diffusion-xl-1.0-inpainting-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/stable-diffusion-xl-1.0-inpainting-0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
What is the difference from using StableDiffusionXLInpaintPipeline with the stabilityai/stable-diffusion-xl-base-1.0 model?
#2
by Yakonrus - opened
What is the difference from using StableDiffusionXLInpaintPipeline with the stabilityai/stable-diffusion-xl-base-1.0 model?
The purpose of this model is not entirely clear.
I'm fairly sure that the base model is not actually using inpainting in the context you are describing, it is using img2img.