
gemini-logo-remover
Remove Gemini logos, watermarks, or AI-generated image markers using OpenCV inpainting. Use this skill when the user asks to remove Gemini logo, AI watermark, or any logo/watermark from images.
- Installs
- 64
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/bear2u/my-skills --skill gemini-logo-remover- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads gemini-logo-remover automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Gemini Logo Remover
Remove Gemini logos and watermarks from AI-generated images using inpainting.
Setup
pip install opencv-python numpy pillow --break-system-packages
Usage
By Coordinates
import cv2
import numpy as np
def remove_region(input_path, output_path, x1, y1, x2, y2, radius=5):
"""Remove rectangular region using inpainting."""
img = cv2.imread(input_path)
h, w = img.shape[:2]
mask = np.zeros((h, w), dtype=np.uint8)
cv2.rectangle(mask, (x1, y1), (x2, y2), 255, -1)
result = cv2.inpaint(img, mask, radius, cv2.INPAINT_TELEA)
cv2.imwrite(output_path, result)
# Example: remove region at coordinates
remove_region('/mnt/user-data/uploads/img.png',
'/mnt/user-data/outputs/clean.png',
x1=700, y1=650, x2=800, y2=720)
By Corner
def remove_corner_logo(input_path, output_path, corner='bottom_right',
w_ratio=0.1, h_ratio=0.1, padding=10):
"""Remove logo from corner. corner: top_left, top_right, bottom_left, bottom_right"""
img = cv2.imread(input_path)
h, w = img.shape[:2]
lw, lh = int(w * w_ratio), int(h * h_ratio)
coords = {
'bottom_right': (w - lw - padding, h - lh - padding, w - padding, h - padding),
'bottom_left': (padding, h - lh - padding, lw + padding, h - padding),
'top_right': (w - lw - padding, padding, w - padding, lh + padding),
'top_left': (padding, padding, lw + padding, lh + padding)
}
x1, y1, x2, y2 = coords[corner]
mask = np.zeros((h, w), dtype=np.uint8)
cv2.rectangle(mask, (x1, y1), (x2, y2), 255, -1)
result = cv2.inpaint(img, mask, 5, cv2.INPAINT_TELEA)
cv2.imwrite(output_path, result)
# Example: remove bottom-right logo
remove_corner_logo('/mnt/user-data/uploads/img.png',
'/mnt/user-data/outputs/no_logo.png',
corner='bottom_right', w_ratio=0.08, h_ratio=0.08)
Find Coordinates
img = cv2.imread(input_path)
h, w = img.shape[:2]
print(f"Size: {w}x{h}")
# Gemini 별 로고는 보통 이미지 우하단 모서리에서 약간 안쪽에 위치
# 일반적인 좌표: x1=w-150, y1=h-100, x2=w-130, y2=h-55
# 정확한 위치는 이미지마다 다르므로 조정 필요
Output
Always save to /mnt/user-data/outputs/ and use present_files tool.
Notes
- Inpainting works best for small areas with uniform backgrounds
- Gemini logo is typically in bottom-right corner
- Adjust coordinates/ratios based on actual logo position and size
FAQ
What does the gemini-logo-remover skill do?
Remove Gemini logos, watermarks, or AI-generated image markers using OpenCV inpainting. Use this skill when the user asks to remove Gemini logo, AI watermark, or any logo/watermark from images.
How do I install gemini-logo-remover?
Run npx skills add https://github.com/bear2u/my-skills --skill gemini-logo-remover in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/gemini-logo-remover/ (personal) or .claude/skills/gemini-logo-remover/ (project).
Which AI agents can use gemini-logo-remover?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is gemini-logo-remover safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains gemini-logo-remover?
It is published by bear2u in bear2u/my-skills. It has 64 recorded installs.
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