openai-image-gen

Batch-generate AI images from randomized prompts and compile them into a local HTML gallery using OpenAI Images API and gen.py workflow.

5|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/JansenAnalytics/claudex --skill openai-image-gen-jansenanalytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-image-gen
Source: https://github.com/JansenAnalytics/claudex/tree/main/skills/openai-image-gen
Command: npx skills add https://github.com/JansenAnalytics/claudex --skill openai-image-gen-jansenanalytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Batch-generates multiple AI-generated images by sampling prompts and rendering them in a browsable gallery, saving time and manual iteration.

Core Features & Use Cases

  • Prompt sampling: generates diverse prompts to drive image creation.
  • Gallery generation: renders outputs into an index.html gallery for easy viewing.
  • Use Case: ideation boards and rapid visual exploration for design, marketing, and product concepts.

Quick Start

Run the prompt generator to create a gallery of images and open the index.html to preview results.

Frequently Asked Questions about openai-image-gen

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

FAQPage Schema
How do I batch-generate AI images from randomized prompts using the OpenAI Images API?

The batch image generation process works by sampling diverse prompts and calling the OpenAI Images API to create multiple images simultaneously. It automates prompt variation and API requests, then compiles all generated images into a local HTML gallery for immediate visual review.

What is an HTML gallery for AI-generated images and why use it for visual exploration?

An HTML gallery for AI-generated images is a local index.html file that renders batch outputs in a browsable layout. It consolidates visual exploration by displaying multiple generated images together, enabling rapid comparison for design, marketing, and product concept work without opening individual files.

Do I need Python 3 and an OpenAI API key to run batch image generation workflows?

Yes, Python 3 and an OpenAI API key are required to run batch image generation. The gen.py workflow script requires Python 3 to execute prompt sampling and API calls, while the OpenAI API key authenticates requests to the Images API for generating and compiling visual outputs.

Can I use randomized prompt sampling for creating mood boards and design concept iterations?

Yes, randomized prompt sampling supports creating mood boards and design concept iterations. The workflow generates diverse prompt variations to drive the OpenAI Images API, producing a wide range of visual outputs ideal for rapid ideation boards and visual experiments across design, marketing, and product concepts.

How do I compile OpenAI API image outputs into a local HTML gallery for quick viewing?

The gen.py workflow compiles OpenAI API image outputs into a local HTML gallery by automatically generating an index.html file after batch creation. This file renders all generated images in a browsable layout, providing a single access point for quick viewing and visual comparison of results.

Are there limitations to batch-generating images with the OpenAI Images API for visual experiments?

Limitations of batch-generating images with the OpenAI Images API include dependency on API rate limits and the inherent variability of randomized prompt sampling. The workflow targets quick visual experiments and mood boards, so highly precise or production-ready image refinement may require additional manual iteration beyond the generated gallery.