3.9 KiB
3.9 KiB
IOPaint
A free and open-source inpainting & outpainting tool powered by SOTA AI model.
Quick Start
IOPaint provides a convenient webui for using the latest AI models to edit your images. The installation process for IOPaint is also simple, requiring just two commands:
# 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
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 also use IOPaint in the command line to batch process images:
iopaint run --model=lama --device=cpu \
--input=/path/to/image_folder \
--mask=/path/to/mask_folder \
--output=output_dir
--input 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.
Features
- Completely free and open-source, fully self-hosted, support CPU & GPU & Apple Silicon
- Supports various AI models:
- Erase models: These models are usually used to remove people or objects from images.
- Stable Diffusion models: You can use any Stable Diffusion Inpainting(or normal) models from Huggingface in IOPaint. Some popular used models include:
- Other Diffusion models:
- 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.
- Native macOS app for erase task
- More features at IOPaint Docs