IOPaint

A free and open-source inpainting & outpainting tool powered by SOTA AI model.

Erase(LaMa)	Replace Object(PowerPaint)
IOPaint-erase-markdown.mp4	iopaint-inpaint-markdown.mp4

Draw Text(AnyText)	Out-painting(PowerPaint)
AnyText-markdown.mp4	outpainting.mp4

Features

• Completely free and open-source, fully self-hosted, support CPU & GPU & Apple Silicon
• Windows 1-Click Installer
• Supports various AI models to perform erase, inpainting or outpainting task.
  • Erase models: These models can be used to remove unwanted object, defect, watermarks, people from image. I have also developed a macOS native app called OptiClean that provides this feature.
  • Diffusion models: These models can be used to replace objects or perform outpainting. Some popular used models include:
    • runwayml/stable-diffusion-inpainting
    • diffusers/stable-diffusion-xl-1.0-inpainting-0.1
    • andregn/Realistic_Vision_V3.0-inpainting
    • Lykon/dreamshaper-8-inpainting
    • Sanster/anything-4.0-inpainting
    • Sanster/PowerPaint-V1-stable-diffusion-inpainting
    • Sanster/AnyText
    • Fantasy-Studio/Paint-by-Example
• Plugins:
  • Segment Anything: Accurate and fast Interactive Object Segmentation
  • RemoveBG: Remove image background or generate masks for foreground objects
  • Anime Segmentation: Similar to RemoveBG, the model is specifically trained for anime images.
  • RealESRGAN: Super Resolution
  • GFPGAN: Face Restoration
  • RestoreFormer: Face Restoration
• FileManager: Browse your pictures conveniently and save them directly to the output directory.

Quick Start

Start webui

IOPaint provides a convenient webui for using the latest AI models to edit your images. You can install and start IOPaint easily by running following command:

# In order to use GPU, install cuda version of pytorch first.
# pip3 install torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu118
# AMD GPU users, please utilize the following command, only works on linux, as pytorch is not yet supported on Windows with ROCm.
# pip3 install torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/rocm5.6

pip3 install iopaint
iopaint start --model=lama --device=cpu --port=8080

That's it, you can start using IOPaint by visiting http://localhost:8080 in your web browser. You can see more models supported by --model here.

Plugins

You can specify which plugins to use when starting the service, and you can view the commands to enable plugins by using iopaint start --help.

iopaint start --enable-interactive-seg --interactive-seg-device=cuda

Batch processing

You can also use IOPaint in the command line to batch process images:

iopaint run --model=lama --device=cpu \
--image=/path/to/image_folder \
--mask=/path/to/mask_folder \
--output=output_dir

--image is the folder containing input images, --mask is the folder containing corresponding mask images. When --mask is a path to a mask file, all images will be processed using this mask.

You can see more information about the available models and plugins supported by IOPaint below.