
IOPaint is a free, self-hosted AI image editor for people who want to remove objects, replace parts of a picture or extend it beyond its original edges on their own hardware. The project is archived and no longer maintained. It's open source under Apache 2.0, with a browser interface and support for CPU, GPU and Apple Silicon hardware.
Its model selection covers different kinds of edits. LaMa removes unwanted objects, people, watermarks and image defects. Stable Diffusion inpainting models, including SDXL, support replacing content in selected areas. PowerPaint handles object replacement and outpainting, which generates content around an image to enlarge it. AnyText generates text within images, while Paint-by-Example uses a reference image to guide an edit.
The editing tools also cover preparation and repair. Segment Anything helps select objects interactively, and RemoveBG can remove backgrounds or create foreground masks. Anime Segmentation provides a separate model for anime images. RealESRGAN increases image resolution; GFPGAN and RestoreFormer restore faces.
IOPaint suits both individual edits and repeated cleanup tasks. You can work through pictures in the browser, browse them with its file manager and save results to an output directory. Command-line batch processing applies a shared mask across a folder of images or uses a separate mask for each image. A Windows installer is available.
Claim this page with an email at iopaint.com. IOPaint gets the verified badge, and you can upgrade the listing to be featured on localhosted. Proud to be listed? Put our badge on your site.
Want more people to find IOPaint?Promote it
Something wrong or outdated on this page?
10.5KUpdated 3 weeks ago
macOS · Windows · Linux · Web#Batch processing#ControlNet#Image-to-image
Easy Diffusion runs Stable Diffusion on your own computer through a browser interface. It's for people who want to generate and edit images locally without assembling the software components themselves. The free distribution bundles the required software and works on Windows, Linux and macOS.
165.2KUpdated 2 years agoAGPL-3.0
macOS · Windows · Linux · Web#Batch processing#Code execution#Image-to-image
53.2KUpdated 1 year agoGPL-3.0
macOS · Windows · Linux · Docker · Web#ControlNet#Image-to-image#Inpainting
28.3KUpdated 3 days agoApache-2.0
macOS · Windows · Linux · Docker · Web#Batch processing#ControlNet#GGUF
7.3KUpdated 1 week agoApache-2.0
macOS · Windows · Linux · Docker · Web#ControlNet#Image-to-image#Inpainting
135.6KUpdated 47 minutes agoGPL-3.0
macOS · Windows · Linux · Web#ControlNet#Inpainting#LoRA
Stable Diffusion web UI (AUTOMATIC1111) is a browser interface for generating and editing images with models running on your own hardware. It's for artists and anyone who wants control over prompts, models and image variations. The software is open source under AGPL-3.0.
Fooocus is a free, open-source AI image generator for people who want to create images on their own computer without spending much time tuning settings. It uses Stable Diffusion XL and automatically expands prompts with a local GPT-2 engine. Generation works offline once the required models are downloaded, so prompts and images can stay on your machine.
InvokeAI is a free, open-source image generator for artists and production teams who want to create and edit images on their own hardware. Its locally hosted web interface brings image generation, canvas editing and workflow tools into one application. With local models, prompts and artwork stay on the machine you control.
SD.Next is a self-hosted web interface for artists, researchers and people who want to generate and edit images or videos on their own hardware. It builds on Automatic1111 WebUI's original codebase and supports Stable Diffusion alongside other diffusion models. It's open source under Apache 2.0.
ComfyUI is a local visual AI workspace for artists and technical teams who want to control how images, video, audio, 3D models and text are made. Its node canvas shows each model and processing step, so users can build and adjust workflows without writing code. It runs on your hardware.