imagen

Generate images from text prompts using the Google Gemini API.

4|1|Updated Jan 13, 2026
One-click install
npx skills add https://github.com/rm2thaddeus/Aitor_Skills --skill imagen-rm2thaddeus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imagen
Source: https://github.com/rm2thaddeus/Aitor_Skills/tree/main/imagen
Command: npx skills add https://github.com/rm2thaddeus/Aitor_Skills --skill imagen-rm2thaddeus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill allows users to generate images directly from text prompts, eliminating the need for external tools or complex workflows for visual content creation.

Core Features & Use Cases

  • AI Image Generation: Creates images based on descriptive text prompts using Google Gemini.
  • Customizable Output: Supports various image sizes (512px, 1K, 2K) and custom output paths.
  • Use Case: A developer needs a placeholder image for a website. They can ask Claude to "Generate an image of a futuristic city skyline at sunset" and Claude will create and save it.

Quick Start

Use the imagen skill to generate an image of a serene mountain landscape at dawn.

Frequently Asked Questions about imagen

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate images from text prompts using the Gemini API?

You can generate images from text prompts using the Gemini API by executing Python 3.6+ scripts that process your descriptive text and save the visual content to a custom output path.

Do I need a specific environment to create images with AI for UI mockups?

To create AI images for UI mockups, you need Python 3.6+ installed and a valid GEMINI_API_KEY environment variable configured to authenticate the Google Gemini requests.

Can I customize the output size when generating visual content with Gemini?

Yes, generating visual content with Gemini supports customizable output sizes including 512px, 1K, and 2K resolutions, alongside specifying custom file paths for saving the final images.

What is the best way to automate placeholder image generation for documentation?

Automating placeholder image generation for documentation is best handled by running Python scripts that send descriptive text prompts to the Gemini API, producing relevant visual assets directly in your workflow.

Does AI image generation work without external content creation tools?

AI image generation works without external content creation tools by using internal Python scripts and the Google Gemini API to directly translate your text descriptions into saved image files.