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GPT Image 2

GPT Image 2 is an AI image generator and editor that creates and revises visuals from prompts and reference images, including accurate text rendering.

GPT Image 2

What is GPT Image 2?

GPT Image 2 is an AI image generator and editor that turns natural-language prompts and reference images into polished visuals. It’s designed for users who need both new image creation and iterative edits—such as restyling, retouching, or replacing elements—while keeping control over composition and subject identity through reference images.

The core purpose of GPT Image 2 is to support design-ready workflows for marketing and product visuals, including situations where the output must include accurate text placed inside the image.

Key Features

  • Generate or edit from a single workspace, supporting both prompt-only creation and reference-guided edits for iterative refinement.
  • Support for uploading up to 16 reference images, useful when you want to steer multiple aspects of a result (for example, subject identity, style, or layout guidance).
  • Prompt following tuned for instruction accuracy, with emphasis on maintaining described scene details, composition, and layout.
  • Text rendering intended for legible words inside the frame, targeting outputs such as posters, packaging concepts, menus, signage, UI mockups, and branded social creatives.
  • Multiple output aspect ratios—1:1, 3:4, 4:3, 9:16, 16:9, and auto—to match common surfaces like product cards, hero banners, and mobile-first creatives.

How to Use GPT Image 2

  1. Write a prompt in plain language or upload a reference image (or references) to guide what the result should keep or change.
  2. Choose an aspect ratio based on where the image will be used (e.g., square for product cards, portrait/landscape for posters).
  3. Generate the image, review the result, and refine by adjusting the prompt and/or reference inputs until layout, lighting, style, and on-image text match your brief.

Use Cases

  • Marketing creative iteration: Create ad or social images from prompts, then run edit loops to adjust composition, styling, or specific elements while keeping the intended layout.
  • Ecommerce product visuals: Restyle or retouch product imagery and steer composition using reference images, then export in formats suitable for product cards and banners.
  • Posters and signage concepts: Generate design-ready posters or menu/signage mockups with attention to legible text placement within the image.
  • Packaging and branding mockups: Produce packaging concept visuals by combining prompt-driven style/layout with reference images to preserve product shape and identity.
  • UI and design asset previews: Create branded UI mockups or concept art with flexible aspect ratios for different screen and feed formats.

FAQ

Can GPT Image 2 edit existing images?

Yes. GPT Image 2 supports image-to-image editing by using a reference image to guide edits, in addition to generating new images from prompts.

Does GPT Image 2 handle text inside images?

GPT Image 2 is described as practical for rendering legible words inside the frame, with examples including posters, packaging concepts, menus, signage, UI mockups, and branded social creatives.

What aspect ratios does GPT Image 2 support?

It supports 1:1, 3:4, 4:3, 9:16, 16:9, and an auto option.

How many reference images can I upload?

The page states you can upload up to 16 reference images.

What’s the typical workflow?

Write a prompt and/or upload reference images, choose an aspect ratio, generate an image, then refine by adjusting the prompt and reference inputs based on the output.

Alternatives

  • General-purpose text-to-image tools: Similar in that you can start from prompts, but may offer fewer reference-guided editing controls or less emphasis on on-image text rendering.
  • Image-to-image editing workflows in design software: Useful for precise edits to existing assets, but typically rely more on manual retouching rather than prompt-driven instruction following.
  • Other AI creative suites with generation + editing in one workspace: These can support iterative generation and revisions, but differ in how well they maintain prompt instructions, handle reference inputs, and render text legibly within images.
GPT Image 2 | UStack