What aspect ratios are supported?

It supports multiple ratios including 1:1 for logos, 9:16 for portraits, 16:9 for landscapes, 3:2 for photos, and 21:9 for ultra-wide displays.

How do I provide an API key for Nanobanana?

You can export the GEMINI_API_KEY environment variable or add it to a .nanobanana.env file in your home directory for persistent access.

Which AI models does Nanobanana use?

It defaults to gemini-3-pro-image-preview for high-quality results, but also supports gemini-2.5-flash-image for faster generation during iterations.

Can I edit existing images with this skill?

Yes, you can use the --input flag to provide a source image and a prompt to describe the specific changes or additions you want the AI to apply.

Nanobanana is a Claude Code skill that enables users to generate and edit images via the Google Gemini API directly from their terminal environment.

Nanobanana Image Generator

Name: Nanobanana Image Generator
Author: eyadsibai

byeyadsibai

Design Tools

Generates and edits high-quality images directly within Claude Code using the Google Gemini API.

About

Nanobanana is a powerful image manipulation skill for Claude Code that leverages Google's Gemini models to create, edit, and refine visual assets. Whether you need to generate a minimalist logo, create marketing wallpapers, or modify existing photos with AI-driven prompts, this skill provides a seamless command-line interface for visual content creation. It supports various aspect ratios ranging from mobile-friendly portraits to ultra-wide landscapes and offers flexible resolution settings up to 4K for professional-grade output, making it an essential tool for developers who need visual assets without leaving their terminal.

Key Features

AI-powered image editing and modification from existing files
0 GitHub stars
Text-to-image generation using Google Gemini API
Adjustable resolution levels from 1K drafts up to 4K final exports
Multiple model support including high-quality and fast iteration options
Customizable aspect ratios for logos, social media, and wallpapers

Use Cases

Editing existing images to add elements or change styles via descriptive prompts
Creating social media content and story-sized visuals using the 9:16 aspect ratio
Generating placeholder assets and logos during the frontend development process

About

Key Features

AI-powered image editing and modification from existing files
0 GitHub stars
Text-to-image generation using Google Gemini API
Adjustable resolution levels from 1K drafts up to 4K final exports
Multiple model support including high-quality and fast iteration options
Customizable aspect ratios for logos, social media, and wallpapers

Use Cases

Editing existing images to add elements or change styles via descriptive prompts
Creating social media content and story-sized visuals using the 9:16 aspect ratio
Generating placeholder assets and logos during the frontend development process