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README.md
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## Quick Start
IOPaint provides an easy-to-use webui for utilizing the latest AI models. The installation process for IOPaint is also simple, requiring just two commands:
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:
```bash
# In order to use GPU, install cuda version of pytorch first.
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`--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 models and plugins supported by IOPaint below.
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 & M1/2
- Completely free and open-source, fully self-hosted, support CPU & GPU & Apple Silicon
- Supports various AI models:
- Inpainting models: These models are usually used to remove people or objects from images.
- Stable Diffusion models: These models have stronger generation abilities, allowing them to generate new objects on images, or to expand existing images.
You can use any Stable Diffusion Inpainting(or normal) models from [Huggingface](https://huggingface.co/models?other=stable-diffusion) in IOPaint.
Some commonly used models are listed below:
- 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](https://huggingface.co/models?other=stable-diffusion) in IOPaint.
Some popular used models include:
- [runwayml/stable-diffusion-inpainting](https://huggingface.co/runwayml/stable-diffusion-inpainting)
- [diffusers/stable-diffusion-xl-1.0-inpainting-0.1](https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1)
- [andregn/Realistic_Vision_V3.0-inpainting](https://huggingface.co/andregn/Realistic_Vision_V3.0-inpainting)
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- [Sanster/anything-4.0-inpainting](https://huggingface.co/Sanster/anything-4.0-inpainting)
- [Sanster/PowerPaint-V1-stable-diffusion-inpainting](https://huggingface.co/Sanster/PowerPaint-V1-stable-diffusion-inpainting)
- Other Diffusion models:
- [Sanster/AnyText](https://huggingface.co/Sanster/AnyText): Generate text on images
- [Sanster/AnyText](https://huggingface.co/Sanster/AnyText)
- [timbrooks/instruct-pix2pix](https://huggingface.co/timbrooks/instruct-pix2pix)
- [Fantasy-Studio/Paint-by-Example](https://huggingface.co/Fantasy-Studio/Paint-by-Example): Generate images from text
- [Fantasy-Studio/Paint-by-Example](https://huggingface.co/Fantasy-Studio/Paint-by-Example)
- [kandinsky-community/kandinsky-2-2-decoder-inpaint](https://huggingface.co/kandinsky-community/kandinsky-2-2-decoder-inpaint)
- [Plugins](https://iopaint.com/plugins) for post-processing:
- [Plugins](https://iopaint.com/plugins):
- [Segment Anything](https://iopaint.com/plugins/interactive_seg): Accurate and fast interactive object segmentation
- [RemoveBG](https://iopaint.com/plugins/rembg): Remove image background or generate masks for foreground objects
- [Anime Segmentation](https://iopaint.com/plugins/anime_seg): Similar to RemoveBG, the model is specifically trained for anime images.