openai-image-gen

Batch-generate AI images from structured prompts via the OpenAI Images API.

4|2|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/0xKobold/0xkobolds --skill openai-image-gen-0xkobold
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-image-gen
Source: https://github.com/0xKobold/0xkobolds/tree/main/skills/openai-image-gen
Command: npx skills add https://github.com/0xKobold/0xkobolds --skill openai-image-gen-0xkobold

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automates the tedious process of turning creative prompts into AI-generated images and curating them into a browsable local gallery.

Core Features & Use Cases

  • Random prompt sampling to quickly generate diverse visuals.
  • Gallery generation with index.html and prompts.json for easy sharing and reuse.
  • Model-aware generation with configurable size, quality, background, and style options for GPT image models and DALL-E variants.

Use Case: Designers and researchers prototype visuals by generating multiple images from prompts and reviewing them in a local gallery.

Quick Start

Run the Python script to generate a batch of images from prompts and open the resulting index.html gallery.

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 prompts and view them in a local gallery?

To batch generate AI images from prompts, you can use a Python script to request images via the OpenAI Images API. It outputs downloaded images, a prompts.json file, and an index.html gallery for easy local browsing.

Do I need an OpenAI API key to batch generate images and build a gallery?

Yes, you need an OPENAI_API_KEY to batch generate images. This key is required by the Python script to authenticate and request visual content from the OpenAI Images API.

Can I configure image size, quality, and style when generating multiple AI images?

Yes, you can configure size, quality, background, and style options when generating AI images. The script supports model-aware generation for both GPT image models and DALL-E variants.

What is random prompt sampling for rapid visual prototyping?

Random prompt sampling is a technique to quickly generate diverse visuals for rapid prototyping. It allows designers and researchers to automatically explore varied visual content without manually writing every prompt.

How does the generated index.html and prompts.json work for sharing AI generated images?

The index.html and prompts.json files provide a browsable gallery and structured data output. They allow you to easily review, share, and reuse the batch-generated AI images and their corresponding prompts locally.

What are the limitations of using Python and the OpenAI API for local image generation?

Limitations include dependency on the OpenAI API for every generation request and potential rate limits. You must run the Python script locally to download images and render the index.html gallery.