# Send Gemini Watermark to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "gemini-watermark", "name": "Gemini Watermark", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/h1bomb/gemini-watermark", "canonicalUrl": "https://clawhub.ai/h1bomb/gemini-watermark", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/gemini-watermark", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=gemini-watermark", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "references/algorithm.md", "scripts/remove_watermark.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "gemini-watermark", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-01T17:10:08.893Z", "expiresAt": "2026-05-08T17:10:08.893Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=gemini-watermark", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=gemini-watermark", "contentDisposition": "attachment; filename=\"gemini-watermark-2.1.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "gemini-watermark" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/gemini-watermark" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/gemini-watermark", "downloadUrl": "https://openagent3.xyz/downloads/gemini-watermark", "agentUrl": "https://openagent3.xyz/skills/gemini-watermark/agent", "manifestUrl": "https://openagent3.xyz/skills/gemini-watermark/agent.json", "briefUrl": "https://openagent3.xyz/skills/gemini-watermark/agent.md" } } ``` ## Documentation ### 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 ### 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: Spatial NCC (50% weight) — normalised cross-correlation with the alpha map Gradient NCC (30% weight) — edge signature matching via Sobel operators Variance Analysis (20% weight) — texture dampening detection Images without detected watermarks are automatically skipped. ### CLI Parameters ParameterShortDefaultDescriptioninput(required)Input image file or directory--output-o{name}_cleaned.{ext}Output file or directory--force-ffalseSkip detection, process unconditionally--threshold-t0.35Detection confidence threshold (0.0–1.0)--force-smallfalseForce 48×48 watermark size--force-largefalseForce 96×96 watermark size--alpha-map(built-in)Custom grayscale alpha map image--verbose-vfalseEnable detailed output--quiet-qfalseSuppress all non-error output ### Supported Formats FormatReadWriteJPEG (.jpg, .jpeg)YesYes (quality 100)PNG (.png)YesYesWebP (.webp)YesYesBMP (.bmp)YesYes ### 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 ### "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 ## Trust - Source: tencent - Verification: Indexed source record - Publisher: h1bomb - Version: 2.1.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-01T17:10:08.893Z - Expires at: 2026-05-08T17:10:08.893Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/gemini-watermark) - [Send to Agent page](https://openagent3.xyz/skills/gemini-watermark/agent) - [JSON manifest](https://openagent3.xyz/skills/gemini-watermark/agent.json) - [Markdown brief](https://openagent3.xyz/skills/gemini-watermark/agent.md) - [Download page](https://openagent3.xyz/downloads/gemini-watermark)