A completely open source and free AI watermark removal tool: WatermarkRemover-AI.
For friends who often work as self-media, watermark removal has always been a problem in image processing. Recently, we discovered a completely open source and free AI watermark removal tool:
WatermarkRemover-AI。
Hello everyone, welcome to this issue of technology sharing! Today we are going to introduce a very practical open source project– 《WatermarkRemover-AI》, a tool that can use AI to help you “intelligently erase watermarks”! Does it sound delicious? Let’s see how it is done together.
📌 Project positioning: What does it do?
WatermarkRemover-AI is an open source project designed to help users Automatically identify and remove watermarks from pictures, and-the point is here-the restored area will look very natural and leave no traces!
Simply put, it is not a simple smearing tool, but uses two powerful AI models, allowing you to not even have to open PS!
🧠 Technical principles: Two core models
The magic of this project comes from the collaboration of two major AI models:
-
Florence-2
The visual model developed by Microsoft is responsible for identifying where watermarks are in pictures. It’s like a well-trained “fault finding expert”. -
LaMa
Is a powerful image inpainting model that is responsible for “filling in” the blank area after you delete the watermark. The filled content is so natural that you can’t tell that there is a watermark.
These two models are combined together, one for finding watermarks and the other for complementing images, achieving high-quality automated watermark removal!
🖥️ Usage: Command line + graphical interface are all arranged!
Whether you are a developer or an ordinary user, this project can be easily started:
- Students who like to type code can use the command line to quickly process pictures in batches;
- For those who don’t want to write code, the project also provides a PyQt6-based graphical interface, watermark removal can be completed with a few clicks.
⚙️ Deployment Experience: How to install?
To use this project, you just need to prepare the Python environment, then clone the project, install dependencies, and you can run. The project author wrote it in great detail in README and could be deployed in a few steps.
📄 Open source agreement: MIT License
The project is open source based on the MIT protocol, which means you can freely use, modify, and even integrate into your own project. Of course, don’t forget to follow basic open source etiquette.
⚠️ Notes: Pay attention to legal risks!
One thing to note: Although the technology is very strong, please do not use it illegally, such as removing watermarks from other people’s works for commercial purposes, which may involve violations Oh!
🎉 To summarize:
- AI automatic identification + watermark repair
- Florence-2 and LaMa model combine
- Support CLI and GUI
- Free and open source, but also very practical!
🧪 Project address:
Interested friends are welcome to try this project on GitHub:
👉 github.com/D-Ogi/WatermarkRemover-AI
GitHub：github.com/D-Ogi/WatermarkRemover-AI
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