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openai-gpt-image-2

Generates and edits images using OpenAI gpt-image-2 with structured prompts and mask-based inpainting.

8|Updated Jul 26, 2026
Search Tags:#design#prompt engineering#image generation#openai#dall-e#visual production
One-click install
npx skills add https://github.com/joonlab/joonlab-claudecode-setting-for-share --skill openai-gpt-image-2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-gpt-image-2
Source: https://github.com/joonlab/joonlab-claudecode-setting-for-share/tree/main/claude/skills/openai-gpt-image-2
Command: npx skills add https://github.com/joonlab/joonlab-claudecode-setting-for-share --skill openai-gpt-image-2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the challenge of generating high-quality, consistent, and production-ready images by providing a structured, repeatable framework that prevents the uncontrollable output often associated with AI image generation.

Core Features & Use Cases

  • Structured Prompting: Uses an 11-slot prompt contract to ensure precise control over composition, lighting, and text rendering.
  • Advanced Editing: Supports image-to-image editing and mask-based inpainting with up to 16 reference images.
  • Use Case: Ideal for creating consistent marketing assets, UI mockups, or technical diagrams where specific layout and text accuracy are required.

Quick Start

Use the openai-gpt-image-2 skill to generate a high-quality photorealistic portrait of an elderly sailor on a fishing boat at dawn.

Frequently Asked Questions about openai-gpt-image-2

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

FAQPage Schema
How do I generate consistent UI mockups and technical diagrams using AI image generation?▼

AI image generation for UI mockups requires a structured 11-slot prompt framework to control composition, lighting, and text rendering, ensuring production-ready visual assets with precise layout accuracy.

Can I use mask-based inpainting to edit specific regions of an existing image?▼

Mask-based inpainting allows targeted editing of existing images by combining up to 16 reference images, enabling precise modifications to specific regions while preserving the surrounding visual context.

Do I need an OPENAI_API_KEY to perform multi-image reference editing?▼

Multi-image reference editing requires a valid OPENAI_API_KEY to access the gpt-image-2 model, facilitating high-fidelity visual production tasks and complex image modifications.

What is the best way to control text rendering and composition in AI-generated cinematic stills?▼

Controlling text rendering and composition in cinematic stills requires a structured prompt contract that defines specific visual parameters, preventing uncontrollable output and ensuring high-fidelity results.

Why does prompt engineering matter for producing high-quality marketing assets?▼

Prompt engineering provides a repeatable framework that prevents uncontrollable output, ensuring consistent marketing assets by defining exact parameters for composition, lighting, and text accuracy.

Does the gpt-image-2 model support image-to-image editing for infographic production?▼

The gpt-image-2 model supports image-to-image editing and multi-image reference combinations, making it suitable for infographic production where specific layout and text accuracy are required.

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