Introduction to IOPaint
IOPaint is a cutting-edge, free, and open-source tool designed to simplify inpainting and outpainting tasks using state-of-the-art AI models. With support for both CPU and GPU, including Apple Silicon, IOPaint can perform complex image editing tasks without hassle.
Key Features
Free and Open-Source
IOPaint is fully open-source, allowing users to self-host and use it for free. This accessibility ensures it can be used by anyone looking to enhance their images using advanced AI technology.
One-Click Installer
For Windows users, IOPaint provides a convenient one-click installer for easy setup.
Cross-Platform Compatibility
Erasing objects and inpainting are made simple with the OptiClean app, available for macOS and iOS, catering to those on Apple devices.
Versatile Model Support
IOPaint supports a variety of AI models for different tasks:
- Erase Models: Efficiently remove unwanted elements like objects, defects, or watermarks.
- Diffusion Models: Perform object replacement or expand an image's canvas with outpainting. Some popular models include Stable Diffusion, Realistic Vision, and BrushNet.
Powerful Plugins
Enhance functionality with several plugins, such as:
- Segment Anything: Fast and precise object segmentation.
- RemoveBG: Easily remove image backgrounds.
- Anime Segmentation: Tailored for anime images.
- Super Resolution and Face Restoration: Improve image quality with RealESRGAN and GFPGAN plugins.
User-Friendly Interface
The IOPaint web interface allows users to edit images with the latest AI models. Simply install IOPaint and start using it via a local server at http://localhost:8080. The process is streamlined with automatic model downloads at startup, and there is extensive documentation available for guidance.
Batch Processing
IOPaint also supports batch processing from the command line, enabling users to handle multiple images efficiently.
Getting Started
To begin, install IOPaint by running a simple command in your terminal. This includes setting up dependencies for using the tool with your desired devices (such as a GPU for faster processing).
Here's the basic command to get started:
pip3 install iopaint
iopaint start --model=lama --device=cpu --port=8080
For batch processing:
iopaint run --model=lama --device=cpu \
--image=/path/to/image_folder \
--mask=/path/to/mask_folder \
--output=output_dir
Development Opportunities
For those interested in contributing, IOPaint's development environment involves working with both frontend and backend codes. Set up includes installing Node.js, managing dependencies with npm, and running local servers for frontend development.
To begin development, clone the repository and install the necessary packages:
git clone https://github.com/Sanster/IOPaint.git
cd IOPaint/web_app
npm install
Set up your environment and start modifying the code to participate in enhancing this versatile tool.
IOPaint stands out as a robust image editing tool bringing AI-powered inpainting and outpainting capabilities to enthusiasts, developers, and creative professionals worldwide.