GPT Image 2

GPT Image 2 Prompt Guide for Production Workflows

GPT Image 2 prompt guidance for OpenAI image generation, edits, and repeatable production review workflows.

2026/05/22

GPT Image 2 prompt guide

If you searched for GPT Image 2, GPT Image 2 prompt, GPT Image 2.0, GPT Image v2, GPT Image OpenAI, or OpenAI image 2, this page covers the same practical workflow: write a prompt, generate an image, edit it when needed, and review the result before publishing.

What OpenAI image docs support

OpenAI's image generation guide says you can generate and edit images from text prompts. The Responses API can also generate images inside a conversation, and it supports multi-turn editing with previous response or image IDs.

  • Generate images from text prompts
  • Edit existing images with a new prompt
  • Keep context across multiple turns
  • Produce multiple outputs in one request when needed

Which workflow to use

  • Single-shot generation or one-off edits: Image API
  • Conversation-based refinement loops: Responses API
  • Reference-image workflows: Responses API with image inputs

How to structure a GPT Image 2 prompt

  1. Scene or context
  2. Primary subject
  3. Style and mood
  4. On-image text
  5. Constraints and exclusions
  6. Final output target
Scene: clean studio setup for a landing page hero image
Subject: one product bottle centered in frame
Style: sharp, commercial, minimal
Text: leave space for a large headline at the top
Constraints: no clutter, no extra objects, no fake branding
Output: wide format for a homepage hero

Where GPT Image 2 fits best

GPT Image 2 fits marketing teams, e-commerce teams, founders, and operators who need dependable image output without turning every request into a long design loop. It is a good fit when the work is about fast iteration, readable text, and a repeatable prompt structure.

What to review before publishing

  • Is the layout usable?
  • Is the text readable?
  • Does the image match the brief?
  • Does the asset need one more edit pass?