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openai-image-gen

Generate image batches from structured prompts via the OpenAI Images API.

Updated Mar 21, 2026
Search Tags:#image generation#batch processing#creative ideation#prompt sampling#openai images api#gallery generation#desktop runtime
One-click install
npx skills add https://github.com/Polealpha/XINNIAN_PI --skill openai-image-gen-polealpha
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-image-gen
Source: https://github.com/Polealpha/XINNIAN_PI/tree/main/app%20windows/vendor/openclaw-runtime/skills/openai-image-gen
Command: npx skills add https://github.com/Polealpha/XINNIAN_PI --skill openai-image-gen-polealpha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill turns the tedious work of coming up with multiple image prompts and rendering them into a fast, repeatable workflow, so you can quickly produce a small set of generated images for review or inspiration.

Core Features & Use Cases

  • Random structured prompt sampling: Automatically creates “random but structured” prompts from predefined subjects, styles, and lighting setups.
  • Batch image rendering via OpenAI Images API: Generates multiple images using selectable model families (GPT image models, DALL·E 3, DALL·E 2).
  • Instant HTML gallery output: Writes images plus a local index.html thumbnail gallery and a prompts.json mapping prompt text to filenames.

Use Case: You need quick visual concepts for a desktop app or creative sprint and want a browsable set of candidate images without manually managing API calls.

Quick Start

Set the environment variable OPENAI_API_KEY and run the generator with 8 randomly sampled prompts.

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 images with OpenAI and save them to a local gallery?▼

Batch image generation with OpenAI creates multiple renders from structured prompts and writes them to a local directory alongside an index.html gallery and prompts.json mapping for instant visual review.

How does random prompt sampling work for creative image ideation?▼

Random prompt sampling for creative ideation automatically constructs prompts from predefined subjects, styles, and lighting setups, enabling rapid concept gallery generation without manual prompt engineering.

Do I need an OpenAI API key to generate image galleries locally?▼

Yes, generating image galleries requires a valid OPENAI_API_KEY environment variable to authenticate batch requests to the OpenAI Images API for rendering your structured prompts.

Can I use different OpenAI image models for batch processing prompts?▼

Yes, batch processing supports multiple OpenAI image model families including GPT image models, DALL·E 3, and DALL·E 2 to render your prompt-to-output traceability galleries.

What is the best way to create a quick visual concept gallery for a creative sprint?▼

Creating a quick visual concept gallery is best done by running batch image generation with random structured prompts, which outputs thumbnail-ready previews and an HTML index for rapid review.

Why does the image generation workflow write an index.html and prompts.json file?▼

The image generation workflow writes index.html and prompts.json to provide prompt-to-output traceability, mapping the exact text to each filename within a browsable local thumbnail gallery.

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