A free and open-source inpainting & outpainting tool powered by SOTA AI model.
## Quick Start ### Prerequisites First you have to install Python3 and pip. In Linux run this command: `apt update && apt upgrade -y && apt install python3 python3-pip -y` For Windows, read this Links: [Install Python on Windows](https://www.geeksforgeeks.org/how-to-install-python-on-windows/) & [Install PIP on Windows](https://www.geeksforgeeks.org/how-to-install-pip-on-windows/) ### Start webui Image Sorter InPaint provides a convenient webui for using the latest AI models to edit your images. You can install and start Image Sorter InPaint easily by running following command: ```bash pip install opencv-python-headless pip install "https://git.kmpr.at/kamp/IOPaint/releases/download/1.3.3/Image_Sorter_InPaint-1.3.3-py3-none-any.whl" imagesorter-inpaint start --model=lama --device=cpu --host 0.0.0.0 --port=8080 ``` That's it, you can start using Imagesorter InPaint by visiting http://localhost:8080 in your web browser. All models will be downloaded automatically at startup. If you want to change the download directory, you can add `--model-dir`. More documentation can be found [here](https://www.iopaint.com/install/download_model) You can see other supported models at [here](https://www.iopaint.com/models) and how to use local sd ckpt/safetensors file at [here](https://www.iopaint.com/models#load-ckptsafetensors). ## Development Install [nodejs](https://nodejs.org/en), then install the frontend dependencies. ```bash git clone https://git.kmpr.at/kamp/IOPaint.git cd IOPaint/web_app npm install npm run build cp -r dist/ ../inpaint/web_app ``` Create a `.env.local` file in `web_app` and fill in the backend IP and port. ``` VITE_BACKEND=http://127.0.0.1:8080 ``` Start front-end development environment ```bash npm run dev -- --host ``` Install back-end requirements and start backend service ```bash pip install -r requirements.txt pip install opencv-python-headless python3 main.py start --model lama --port 8080 ``` Then you can visit `http://localhost:5173/` for development. The frontend code will automatically update after being modified, but the backend needs to restart the service after modifying the python code.