openai-image-gen

Batch-generate images from natural language prompts using the OpenAI Images API.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/kulharir7/karya --skill openai-image-gen-kulharir7
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-image-gen
Source: https://github.com/kulharir7/karya/tree/main/workspace/plugins/openai-image-gen
Command: npx skills add https://github.com/kulharir7/karya --skill openai-image-gen-kulharir7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the creation of visual assets by turning natural language prompts into AI-generated images, saving time and design effort.

Core Features & Use Cases

  • Random prompt sampler to produce diverse visuals for concept exploration and moodboarding.
  • Local gallery via an index.html page to easily review generated images.
  • Simple, script-driven workflow to batch-create images for prototypes, presentations, and social graphics.

Quick Start

Run the script to batch-generate images from prompts and view the 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 natural language prompts?▼

Batch-generate AI images by running a Python 3 script that samples natural language prompts and sends them to the OpenAI Images API. The script renders images with configurable size, count, and output options for rapid visual iteration.

Do I need an OpenAI API key to batch-generate images?▼

Yes, an OpenAI API key is required to batch-generate images. The Python script uses this key to authenticate requests to the OpenAI Images API, allowing you to render visuals from your natural language prompts.

Can I review generated AI images in a local gallery?▼

Review generated AI images in a local gallery by opening the index.html page. The script-driven workflow automatically creates this local gallery so you can easily browse and evaluate the visuals produced from your prompts.

What is the best way to create visual assets for concept exploration and moodboarding?▼

Create visual assets for concept exploration by using a random prompt sampler to produce diverse AI-generated images. This approach automates visual asset creation, saving time and design effort during rapid prototyping and moodboarding.

Does this image generation workflow support configurable size and count options?▼

The batch image generation workflow supports configurable size, count, and output options. You can adjust these parameters within the Python script to control how the OpenAI Images API renders your visual assets.

Why use the OpenAI Images API for rapid visual iteration across projects?▼

Use the OpenAI Images API for rapid visual iteration to automate the creation of visual assets from natural language prompts. This script-driven workflow turns text into images, saving time and design effort for prototypes, presentations, and social graphics.