gpt-image-2

Generate and edit brand-safe images with GPT Image 2 on the RunComfy Model API.

31|9|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill gpt-image-2-agentspace-so
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpt-image-2
Source: https://github.com/agentspace-so/runcomfy-agent-skills/tree/main/gpt-image-2
Command: npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill gpt-image-2-agentspace-so

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you reliably generate and refine images on RunComfy using GPT Image 2, especially when accurate text, logos, signage, and layout details matter more than artistic stylization.

Core Features & Use Cases

  • Text and logo fidelity: Produces images with embedded text and multilingual typography, supporting clearer signage and brand marks.
  • Controlled image generation: Uses only the supported fixed sizes for text-to-image, keeping outputs consistent for production workflows.
  • Edit with preservation: Performs image edits using one or multiple reference images while following natural-language edit instructions and preserving what you specify.
  • When to choose it: Best for directive precision (e-commerce/ad/UI mockups, packaging, posters) and should route to sibling model skills when users explicitly request Flux 2, Nano Banana Pro, or Seedream.

Quick Start

Ask the agent to generate a brand-safe product hero image with exact on-image text by calling the RunComfy endpoint openai/gpt-image-2/text-to-image with a prompt and one of the supported sizes.

Frequently Asked Questions about gpt-image-2

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

FAQPage Schema
How do I generate images with embedded text and logos for brand mockups?

You generate brand-safe images with embedded text and multilingual typography by calling the RunComfy endpoint for text-to-image with a prompt and a supported fixed size. This ensures accurate signage and brand marks for production workflows.

Can I use multiple reference images to guide image editing?

Yes, you can perform image edits using up to 10 reference image URLs for guidance and size control. The process invokes the RunComfy edit endpoint with your reference images, natural-language edit instructions, and size constraints over HTTPS.

What's the best way to edit product packaging images while preserving specific details?

The best way to edit product packaging while preserving details is using the RunComfy image editing endpoint with natural-language instructions. It follows your directives to keep specified elements intact while applying the requested modifications.

Does GPT Image 2 support custom image dimensions for e-commerce visuals?

GPT Image 2 supports only specific fixed sizes for text-to-image generation to keep outputs consistent for production workflows. You must select from the supported size constraints when invoking the RunComfy endpoint.

When should I choose GPT Image 2 over other image generation models?

Choose GPT Image 2 when directive precision for e-commerce, ad UI mockups, packaging, and posters is critical, especially when accurate text and logos matter. Route to sibling model skills if you explicitly need Flux 2, Nano Banana Pro, or Seedream.

Why does my text-to-image generation require specific size constraints?

Text-to-image generation requires specific size constraints to maintain output consistency for production workflows. The RunComfy API enforces these fixed dimensions to ensure reliable layout details and brand-safe visual results.