ai-image-generator

Generate web page images via fal.ai, Vertex AI, and Gemini with caching.

3|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/paolomoz/skills --skill ai-image-generator-paolomoz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-image-generator
Source: https://github.com/paolomoz/skills/tree/main/skills/ai-image-generator
Command: npx skills add https://github.com/paolomoz/skills --skill ai-image-generator-paolomoz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the generation of high-quality, on-brand images for web pages, overcoming the challenges of manual creation, cost, and consistency.

Core Features & Use Cases

  • Multi-Provider Generation: Leverages fal.ai, Vertex AI, and Gemini for robust image creation.
  • Brand Consistency: Supports LoRA models and reference image grounding for on-brand visuals.
  • Smart Fallbacks & Caching: Ensures reliable generation with provider fallbacks and embedding-based caching to save costs and time.
  • Use Case: Automatically generate hero images, card thumbnails, and column illustrations for an entire website, ensuring a consistent visual style across all generated assets.

Quick Start

Generate a hero image for a new product page using the prompt "A futuristic cityscape at sunset" with brand colors.

Frequently Asked Questions about ai-image-generator

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

FAQPage Schema
How can I automate AI image generation for an entire website?

You can automate AI image generation for web pages by using batch generation with concurrency limits. This approach processes large page sets efficiently, resuming generation if interruptions occur while producing hero images and card thumbnails.

Does AI image generation work with fal.ai and Vertex AI?

Yes, AI image generation works with fal.ai and Vertex AI. It leverages multiple AI providers for robust image creation and uses smart fallbacks to ensure reliable generation if a provider fails.

What is embedding-based caching for AI art generation?

Embedding-based caching for AI art generation is a mechanism that stores generated image data to save costs and time. It prevents redundant API calls by retrieving previously generated visuals when identical prompts are requested.

Can I use reference images to keep AI-generated content on-brand?

Yes, you can use reference images to keep AI-generated content on-brand. The generation process supports reference image grounding and LoRA models to ensure your hero images and illustrations maintain a consistent visual style.

How do I enhance prompts for web page image creation using Gemini?

You can enhance prompts for web page image creation using Gemini by configuring the prompt enhancement feature. This automatically refines your initial text input before sending it to the image provider, yielding higher quality visuals.

What are the limitations of batch generating images for large page sets?

The limitations of batch generating images for large page sets include hitting concurrency limits and provider rate limits. However, the system supports resumable generation to recover from interruptions and uses R2 storage to manage the resulting assets.