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 Settings
- Draw Things
- DiffusionBee
Dataset
#26
by richardshkim - opened
I noticed that LAION was used for other SDXL-ControlNet models, but I couldn't find any information about the dataset used for SDXL-Inpainting on the model page. Could you please clarify which dataset was used for training SDXL-Inpainting?
Thank you!
Hi. Unfortunately, I don't know what this was trained on as I'm a newer member on the team, and wasn't at HF when this was made. Maybe someone else from the team can help answer
I am also curious about the dataset.
Also, in the model description: During training, we generate synthetic masks and, in 25% mask everything.
Is the "mask everything" means the mask is a pure white image?