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🦀 ClawHub

Gemini Watermark

by @h1bomb

Remove visible Gemini AI watermarks from images via reverse alpha blending. Use for cleaning Gemini-generated images, removing the star/sparkle logo watermar...

Versionv2.1.0

Downloads705

#legal

View on ClawHub →

TERMINAL

clawhub install gemini-watermark

📖 About This Skill

name: gemini-watermark description: Remove visible Gemini AI watermarks from images via reverse alpha blending. Use for cleaning Gemini-generated images, removing the star/sparkle logo watermark, batch watermark removal. metadata: author: agiseek version: "2.1.0"

Gemini Watermark Remover

Remove the visible Gemini AI watermark (star/sparkle logo) from generated images using mathematically accurate reverse alpha blending.

Fully offline — pure Python, no external binary downloads, no network access.

When to Use

Remove the Gemini watermark from AI-generated images

Batch process a directory of Gemini-generated images

Clean images before publishing or sharing

Automate watermark removal in pipelines

Quick Start

Install Dependencies (one-time)

pip install Pillow numpy
Recommended: use uv for faster, isolated installs
uv pip install Pillow numpy

Requires: Python ≥ 3.9. No Rust toolchain, no compiled binaries, no downloads.

Basic Usage

# Single image (auto-detect watermark, save as photo_cleaned.jpg)
python3 scripts/remove_watermark.py photo.jpg
Specify output path
python3 scripts/remove_watermark.py photo.jpg -o clean_photo.jpg
Batch process directory
python3 scripts/remove_watermark.py ./input_dir -o ./output_dir
Force removal without detection
python3 scripts/remove_watermark.py photo.jpg -o clean.jpg --force

How It Works

Gemini adds a semi-transparent white star/sparkle logo to generated images using alpha blending:

watermarked = alpha * 255 + (1 - alpha) * original

This tool reverses the equation to recover the original pixels:

original = (watermarked - alpha * 255) / (1 - alpha)

The alpha map (watermark transparency pattern) is generated mathematically as a 4-pointed star (central Gaussian core + 4 elongated cardinal rays) at two sizes:

48×48 with 32 px margin — images where either dimension ≤ 1024 px

96×96 with 64 px margin — images where both dimensions > 1024 px

For improved accuracy you can supply your own alpha map derived from a background capture of the Gemini watermark on a white background (--alpha-map).

Detection

Before removal, a three-stage algorithm checks whether a watermark is present:

1. Spatial NCC (50% weight) — normalised cross-correlation with the alpha map 2. Gradient NCC (30% weight) — edge signature matching via Sobel operators 3. Variance Analysis (20% weight) — texture dampening detection

Images without detected watermarks are automatically skipped.

CLI Parameters

| Parameter | Short | Default | Description | |-----------|-------|---------|-------------| | input | | (required) | Input image file or directory | | --output | -o | {name}_cleaned.{ext} | Output file or directory | | --force | -f | false | Skip detection, process unconditionally | | --threshold | -t | 0.35 | Detection confidence threshold (0.0–1.0) | | --force-small | | false | Force 48×48 watermark size | | --force-large | | false | Force 96×96 watermark size | | --alpha-map | | (built-in) | Custom grayscale alpha map image | | --verbose | -v | false | Enable detailed output | | --quiet | -q | false | Suppress all non-error output |

Supported Formats

| Format | Read | Write | |--------|------|-------| | JPEG (.jpg, .jpeg) | Yes | Yes (quality 100) | | PNG (.png) | Yes | Yes | | WebP (.webp) | Yes | Yes | | BMP (.bmp) | Yes | Yes |

Usage Examples

# Verbose output (shows detection confidence, watermark coordinates)
python3 scripts/remove_watermark.py photo.png -o clean.png -v
Lower detection threshold (more sensitive)
python3 scripts/remove_watermark.py photo.jpg -t 0.15
Force large watermark size regardless of image dimensions
python3 scripts/remove_watermark.py photo.jpg --force-large -o clean.jpg
Batch process, quiet mode
python3 scripts/remove_watermark.py ./gemini_images/ -o ./cleaned/ -q
Supply a custom alpha map for higher accuracy
python3 scripts/remove_watermark.py photo.jpg --alpha-map my_alpha.png

Deriving a Custom Alpha Map

For pixel-perfect removal, capture the Gemini watermark on a pure white background and compute:

alpha(x, y) = max(R, G, B) / 255

Save the result as a grayscale PNG and pass it via --alpha-map.

Output

Single file — saves to -o path, or {name}_cleaned.{ext} by default

Directory — saves all processed images to the output directory

Skipped images — images without detected watermarks are not modified (unless --force)

Exit code — 0 on success, 1 if any image fails

Troubleshooting

"No watermark detected" on a watermarked image

Try lowering the threshold: -t 0.1

Or bypass detection entirely: --force

Consider supplying a custom alpha map for your watermark variant

Image looks distorted after removal

The image may not have a Gemini watermark. Use detection (avoid --force)

Try --force-small or --force-large to match the correct size

Supply a custom alpha map for better precision

"Image too small" warning

The image dimensions are smaller than the watermark region. This typically means the image does not have a Gemini watermark.

ModuleNotFoundError: Pillow or numpy

pip install Pillow numpy
or
uv pip install Pillow numpy

Limitations

Visible watermark only — this tool removes the visible star/sparkle logo watermark

Cannot remove SynthID — Google's invisible watermark (SynthID) is embedded at the pixel level during generation and cannot be reversed

Fixed position only — handles watermarks in the standard bottom-right position only

Built-in alpha map is approximate — use --alpha-map with a captured reference for exact results

⚡ When to Use

Trigger	Action
- Batch process a directory of Gemini-generated images
- Clean images before publishing or sharing
- Automate watermark removal in pipelines

💡 Examples