README.md

Onnx Inpainting UI

UI for Stable Diffusion Inpainting using Onnx with DirectML

Requirements

• Python 3.10 or earlier installed (https://www.python.org/downloads/)
• Git installed (https://gitforwindows.org/)

Installation

Create a Folder to Store Stable Diffusion Related Files

• Open File Explorer and navigate to your prefered storage location.
• Create a new folder named "Stable Diffusion" and open it.
• In the navigation bar, in file explorer, highlight the folder path and type cmd and press enter.

Install 🤗 diffusers

The following steps creates a virtual environment (using venv) named sd_env (in the folder you have the cmd window opened to). Then it installs diffusers (latest from main branch), transformers, onnxruntime, onnx, onnxruntime-directml, protobuf and gradio:

pip install virtualenv
python -m venv sd_env
sd_env\scripts\activate
python -m pip install --upgrade pip
pip install git+https://github.com/huggingface/diffusers.git
pip install transformers onnxruntime onnx torch ftfy spacy scipy gradio
pip install onnxruntime-directml --force-reinstall
pip install protobuf==3.20.1

To exit the virtual environment, close the command prompt. To start the virtual environment go to the scripts folder in sd_env and open a command prompt. Type activate and the virtual environment will activate.

Running Onnx Inpainting UI

Loads runwayml/stable-diffusion-inpainting from Huggingface website into local cache.

sd_env\scripts\activate
python inpainting_ui.py

Note:

• stable-diffusion-inpainting uses 5.10 GB of disk space

Running Onnx Inpainting Legacy UI

Loads runwayml/stable-diffusion-v1-5 from Huggingface website into local cache.

Inpainting Legacy is used for loading non inpainting trained models

sd_env\scripts\activate
python inpainting_legacy_ui.py

Note:

• stable-diffusion-v1-5 uses 5.10 GB of disk space