How to Use GPT Image 2

GPT Image 2 turns text prompts into high-quality images with legible text, accurate color, and strong instruction-following. This guide walks you through the full workflow — writing a clear prompt, choosing settings, generating, refining, and exporting — plus prompt tips and what the model does best.

Turning a text prompt into a finished visual

Step by step

  1. 1

    Write a clear, structured prompt

    Describe the subject, style, composition and mood in one clear sentence or a short structured block. GPT Image 2 follows long, detailed prompts well, so be specific — e.g. "a minimalist product poster of a white sneaker on a pastel background, soft studio lighting, lots of negative space". For text inside the image, put the exact words in quotes, like a headline reading "SUMMER SALE".

  2. 2

    Choose your size and options

    Pick an aspect ratio that matches where the image will be used: square for social posts, 16:9 for banners, portrait for posters. Use a higher resolution for print or detailed work, and a lower one for fast drafts while you iterate.

  3. 3

    Generate

    Run the prompt. GPT Image 2 plans before it draws, so it tends to get legible text, correct counts and the layout you asked for. A generation usually takes from a few seconds to under a minute depending on your settings.

  4. 4

    Review and refine

    Compare the result against your prompt, then change one thing at a time — tighten the description, switch the style, or restate the text — and regenerate. Iterating on a clear, specific prompt works far better than vague "make it better" requests.

  5. 5

    Perfect the text, then export

    GPT Image 2 is strong at in-image typography, including Chinese, Japanese and Korean. If a character looks off, shorten or simplify the text and regenerate. When you are happy, download the image at the resolution you need for web or print.

Anatomy of a strong prompt

Most great GPT Image 2 prompts combine five parts. Cover them all and the model has everything it needs:

SubjectWhat is in the image — the main object, person or scene.
StyleThe overall look — flat vector, editorial photo, 3D render, watercolor, and so on.
CompositionLayout and framing — close-up, top-down, centered, plenty of negative space.
DetailsLighting, color, mood and any specifics that matter.
TextAny words to render inside the image, in quotes and kept short.
Worked example

A flat-vector poster (style) of a single coffee cup (subject), centered with generous negative space (composition), warm pastel palette and soft shadows (details), with a bold headline reading "FRESH DAILY" (text).

Prompt parts assembling into one finished visual

Prompt-writing tips

  • •Be specific: subject + style + composition + lighting beats a single vague word.
  • •Put exact in-image text in quotes, and keep it short for the cleanest rendering.
  • •Name a style or reference — "flat vector", "editorial photo", "watercolor" — instead of leaving it open.
  • •Specify counts and layout when they matter, e.g. "three icons in a row" or "centered title".
  • •Change one variable at a time when iterating, so you know what actually improved the image.

Example prompts to copy

Starting points for common jobs — swap in your own subject, brand and text.

Generating and refining visual variations
PosterA bold event poster, flat-vector style, large centered headline reading "LIVE TONIGHT", vibrant gradient background, generous negative space.
Product photoA photorealistic studio shot of a frosted-glass skincare bottle on a marble surface, soft daylight, shallow depth of field, true-to-life color.
Logo conceptA minimalist logo for a coffee brand named "EMBER": a small flame mark above a clean sans-serif wordmark, monochrome.
YouTube thumbnailA high-contrast 16:9 YouTube thumbnail, a surprised face on the left, bold three-word text "I TRIED IT" on the right, bright background.
InfographicA clean flat-design infographic titled "How It Works", three numbered steps with simple icons and short legible captions, white background.
Prompt Templates

Common mistakes — and how to fix them

Text comes out garbledShorten it, put the exact words in quotes, and avoid long paragraphs of in-image text.
Wrong number of objectsState the exact count and arrangement, e.g. "exactly three icons in a row".
The image looks genericAdd a specific style and concrete details instead of a single vague adjective.
Composition is offDescribe framing and placement — centered, top-down, close-up, negative space.
Iterations drift awayChange one element at a time so each regeneration is a controlled experiment.

What GPT Image 2 does best

Legible text in images — posters, signs, UI mockups and thumbnails.
Chinese and multilingual typography rendered in a single pass.
Reliable instruction-following from long, structured prompts.
Accurate color and clean detail for product and marketing visuals.

Frequently asked questions

Is GPT Image 2 free to use?

Yes — you can start free on gpt-image2.art with starter credits. Paid plans add more credits and higher limits.

Can GPT Image 2 put accurate text in images?

Yes — accurate in-image text is its standout strength. Put the exact words in quotes in your prompt and keep them concise for the best results.

Does it support Chinese and other non-Latin languages?

Yes — GPT Image 2 renders Chinese, Japanese, Korean and other scripts well, which makes it a good fit for localized designs.

How do I improve a result I do not like?

Refine the prompt one element at a time and regenerate, rather than asking vaguely for a "better" image — specific changes give predictable improvements.

Can GPT Image 2 edit or restyle an existing image?

Yes — GPT Image 2 supports image editing and reference images. Upload your image, describe the change clearly, and adjust one thing at a time.

What resolution can I export from GPT Image 2?

GPT Image 2 produces high-resolution output suitable for both web and print. Pick the size that matches where you will use it, then download.

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