Forum Discussion
Free batch image watermark remover for deleting image watermarks?
If you're looking for a best image watermark remover that runs locally without paid tools, Zuruoke/watermark-removal is worth understanding. It's a deep learning project that uses Contextual Attention and Gated Convolution methods to remove watermarks from images. The tool is designed to make the watermark removal "totally indistinguishable from the ground truth version of the image".
How to Use It
- Clone the repository to your computer
- Build a Docker image with: docker build -t watermark-removal .
- Download the model directory separately
- Run the container with volume mounts for your model, input, and output directories
The main command is:
python main.py --image path-to-input-image --output path-to-output-image --checkpoint_dir model/ --watermark_type istock
Important: This project uses TensorFlow 1.15.0, not the newer 2.x version. If you try the Google Colab route, you'll need to downgrade TensorFlow, but note that the Colab setup is now marked as broken.
For a best image watermark remover that's more actively maintained, the Kontext-Watermark-Remover adapter (based on FLUX.1) represents a newer generation approach with natural language prompts and better preservation of image context. However, Zuruoke remains a solid free, local option if you're comfortable with the older TensorFlow setup.