gemini-unwatermark
Fast CLI to remove watermarks from Google Gemini-generated images using AI inpainting.
Installation
pip install gemini-unwatermark
Or run directly without installing:
uvx gemini-unwatermark image.png
For GPU acceleration (CUDA):
pip install "gemini-unwatermark[gpu]"
Requirements: Python 3.10-3.13
Usage
# Single image
gemini-unwatermark image.png
# Custom output
gemini-unwatermark image.png -o clean.png
# Batch processing
gemini-unwatermark *.png -d ./cleaned/
# Parallel (8 workers)
gemini-unwatermark photos/*.jpg -d ./output -w 8
Options
| Option | Description |
|---|---|
-o, --output |
Output path (single image only) |
-d, --output-dir |
Output directory for batch |
-f, --force |
Overwrite existing files |
-q, --quiet |
Suppress progress output |
-w, --workers |
Parallel workers (1-8, default: 4) |
--model-path |
Custom ONNX model path |
How it works
Uses LaMa (Large Mask Inpainting) to intelligently fill the watermark region in the bottom-right corner of Gemini images.
The model (~200MB) auto-downloads on first use to ~/.cache/gemini-unwatermark/.
Disclaimer
This tool only removes the visible watermark. It does not remove SynthID, Google's invisible watermarking technology embedded in the image data.
Credits
- Original Chrome extension: dinoBOLT/Gemini-Watermark-Remover
- LaMa ONNX model: Carve/LaMa-ONNX
License
Apache-2.0
1 maintainer
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