What image resolutions can I produce?

You can generate images in 1K (standard), 2K (balanced), and 4K (highest detail) resolutions depending on your project needs.

Can I generate images in bulk with this skill?

Yes, it includes a batch generation script that processes multiple prompts simultaneously from JSON or YAML configuration files with configurable concurrency.

How does it handle API rate limits or network failures?

The skill features built-in smart retry logic using exponential backoff and jitter to gracefully handle quota errors and ensure reliable generation.

What models does the Nano-Banana skill support?

The skill is specifically optimized for the Gemini-3-pro-image-preview model, offering advanced image generation and text rendering capabilities.

Is it possible to maintain a consistent visual style across images?

Yes, you can use style prefixes such as 'photorealistic' or 'minimalist vector' to ensure all generated assets follow a consistent aesthetic.

Nano-Banana AI Integration

Name: Nano-Banana AI Integration
Author: modu-ai

bymodu-ai

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Content Management

Integrates high-resolution Gemini 3 Pro image generation and automated visual content workflows directly into the Claude Code environment.

The Nano-Banana AI Service Integration enables developers to generate professional-grade visual assets using the Gemini 3 Pro model within their development workflow. It provides a robust framework for creating high-resolution images (up to 4K) across ten different aspect ratios, featuring advanced capabilities like style prefixing for aesthetic consistency and Google Search grounding for accuracy. This skill is particularly valuable for teams needing to automate documentation illustrations, generate UI/UX mockups, or manage large-scale batch image processing with built-in retry logic and exponential backoff for production reliability.

Key Features

01Smart retry mechanism with exponential backoff for API quota management

02Support for 10 aspect ratios including square, portrait, and cinematic landscape

03High-resolution image generation supporting 1K, 2K, and 4K outputs

04Automated batch processing via JSON or YAML configuration files

05Style prefix control for consistent branding and aesthetic results

0616 GitHub stars

Use Cases

01Building automated pipelines for large-scale marketing and content generation

02Automating the generation of high-quality visual assets for technical documentation

03Creating consistent UI/UX design components and logo variations

Key Features

01Smart retry mechanism with exponential backoff for API quota management

02Support for 10 aspect ratios including square, portrait, and cinematic landscape

03High-resolution image generation supporting 1K, 2K, and 4K outputs

04Automated batch processing via JSON or YAML configuration files

05Style prefix control for consistent branding and aesthetic results

0616 GitHub stars

Use Cases

01Building automated pipelines for large-scale marketing and content generation

02Automating the generation of high-quality visual assets for technical documentation

03Creating consistent UI/UX design components and logo variations