AI Image Model

GPT Image 2 for complex text, layouts, and campaign images

Use GPT Image 2 for campaign images, infographics, product callouts, and reference edits where readable text matters.

Text-to-image and image-to-image20 credits / imagePrompt-driven format instructions

made with GPT Image 2 @ AuraTuner

Ad posters with real copy

Use it for campaign images where the headline, feature callouts, and disclaimers need to stay readable.

Infographics and spec sheets

Test tables, labels, diagrams, menus, and comparison panels before handing the image to a designer.

Reference-image edits

Upload a source image when product shape, layout, or brand direction should survive the transformation.

Why use it

Use GPT Image 2 when the image needs to say something.

It is strongest when a visual has exact words, labels, callouts, or a clear layout. Fashion boards, campaign drafts, and product explainers are all good tests.

Fashion collage

8 looks, consistent face, handwritten labels.

President chart

Dense layout, small text, world knowledge.

Asset transformation

Raw source to shippable, brand-aligned poster.

Model matrix

Quantitative scoring for model fit.

Quality Control

A strong image still needs a human inspection pass.

Use the page examples as stress tests for dense labels, tight interactions, and reflective surfaces. GPT Image 2 is strong, but the final pass still belongs to a human.

1Dense labels

Use the President chart example to catch one-letter drift in crowded layouts.

2Hands and intersections

Use the fashion collage example to check straps, laces, and other tight interactions.

3Shadows and reflection

Use the asset transformation example to verify geometry in reflective surfaces and product edges.

iRefinement strategy: use quick variants for broad recovery or inpainting for surgical cleanup.

Reference tests

We ran two live reference-edit checks before writing this page.

These are not universal benchmarks. They are practical examples that show how GPT Image 2 behaves when the source image is clean and the edit stays structurally close to the original.

Launch poster edit

Source: AuraTuner launch poster

Change the headline and palette while keeping the poster structure intact.

The result stayed close to the original composition and preserved the premium editorial feel.

Source
Result

Fashion collage edit

Source: fashion editorial collage

Keep the 8-look grid and outfit separation while softening the labels and tones.

The result kept the layout readable and gave us a practical reference-edit example for the page.

Source
Result

Model choice

GPT Image 2 vs Nano Banana 2

Both are low-cost starting points. Pick based on what the next test needs to prove.

Start with GPT Image 2 when

The risk is exact copy, readable labels, poster structure, or a clear information layout.

Try Nano Banana 2 when

The brief needs another visual direction or a reference-led alternate pass.

Prompt recipe

Give the model a production brief, not a mood board.

The best prompts are short, specific, and easy to inspect.

Name the format and aspect ratio.
Provide exact headline, labels, and small text.
Say what should be largest or secondary.
Ask for no invented claims.

Start with the layout stress test

The starter template opens GPT Image 2 with a typography and layout-heavy prompt, so the first result tells you more than a generic beauty image would.

Run the first image

GPT Image 2 FAQ

Practical answers for deciding whether GPT Image 2 should be your first image run.

What should I test first with GPT Image 2?

Start with a poster, ad, spec sheet, or infographic that depends on exact copy, labels, or a clear layout.

Can GPT Image 2 handle readable text and multilingual layouts?

Yes. It is a strong fit for readable text, callouts, and multilingual layouts, but small labels and dense compositions still need a human proofread.

Can GPT Image 2 handle reference-image edits?

Yes. It works best when the source image is clean and the requested change stays close to the original composition or product shape.

What needs human review before publishing?

Check every word, label, number, face, hand, and mechanical part before you publish.