image-ai-generator

Generate images from prompts via the OpenRouter API and save locally.

1|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/netbarros/quantum-project --skill image-ai-generator-netbarros
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-ai-generator
Source: https://github.com/netbarros/quantum-project/tree/main/skills/image-ai-generator
Command: npx skills add https://github.com/netbarros/quantum-project --skill image-ai-generator-netbarros

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Generate AI-generated images from prompts to accelerate asset creation.

Core Features & Use Cases

  • Single and batch image generation via the OpenRouter API with two modes: test (fast/cheap iterations) and production (high-quality final outputs).
  • Reference image support for brand-consistent outputs, automatic base64 decoding, and saving images locally.
  • Handles prompt construction, API calls, and error handling for smooth integration into design workflows.

Quick Start

Generate an image from a prompt and save it to a specified path using production mode for final results.

Frequently Asked Questions about image-ai-generator

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

FAQPage Schema
How do I generate AI images from prompts using an API?

To generate AI images from prompts, you construct a prompt, make an API call to an image generation model, and decode the base64 response to save the image locally. This skill automates that pipeline using the OpenRouter API.

Can I use a reference image to generate brand-consistent AI images?

Yes, you can provide a reference image to guide the AI image generation process. This feature helps maintain brand consistency by influencing the model's output based on the provided reference.

How do I batch generate AI images for a marketing campaign?

Batch generation of AI images is supported to accelerate asset creation for marketing and design workflows. You can process multiple prompts simultaneously to produce a series of images efficiently.

What is the difference between test and production modes for AI image generation?

Test mode offers fast and cheap iterations for AI image generation, while production mode provides high-quality final outputs. This allows you to quickly prototype concepts before generating final visual assets.

Does OpenRouter handle base64 decoding and local file saving for generated images?

Yes, the process includes automatic base64 decoding of the API response and local file saving. It constructs prompts, handles API calls, and includes clear error handling for smooth integration into design workflows.