Create images from text, edit existing visuals, and handle text-heavy designs with more control over your prompt, layout, and final composition.
GPT Image 2 is an AI image generation and editing model designed to turn written instructions and reference images into new visuals.
It can handle text-to-image creation as well as editing workflows where you describe what should change in an existing image. Key areas include text rendering, detailed prompt following, structured layouts, multilingual visual content, and image refinement.
For creators, marketers, e-commerce teams, and designers, that means you can use one prompt-driven workflow to explore campaign graphics, product concepts, social content, posters, interface ideas, and other visual drafts.
GPT Image 2 focuses on practical image-generation tasks where composition, text, editing, and detailed instructions matter.
Generate visual concepts that include text inside the image, such as posters, signs, labels, diagrams, packaging, and UI elements. Text still needs human review before production use, especially for long copy, small labels, numbers, or brand-sensitive content.
Give the model a more detailed creative brief with specific objects, positioning, lighting, text, visual hierarchy, and layout instructions. This makes GPT Image 2 more useful when you care about the structure of the image, not just its overall style.
Upload an existing image and describe the change you want. You can use editing workflows for background changes, object adjustments, visual refinements, restyling, and other iterative changes.
GPT Image 2 supports multiple aspect ratios and output resolutions up to 2K. That makes it suitable for square, portrait, landscape, social, presentation, and product-oriented visual layouts.
Generate concepts that include non-English text as part of the visual. This can be useful for localized posters, signage, social campaigns, packaging concepts, and other multilingual creative work.
Create concepts such as diagrams, charts, UI mockups, posters, and other visuals that require several elements to follow a defined layout.
See how GPT Image 2 can be used across different types of visual work.
You can start with only a prompt or add a reference image when you need more visual control.
Add a reference image when you want to guide the subject, product, character, environment, or visual style. Skip this step when you want to generate entirely from text.
Describe what should appear in the image and how it should be arranged.
Include important details such as:
Generate the first version and review the result. If something needs to change, describe the correction or adjustment and continue refining the image.
A useful image prompt tells the model what to create, how to arrange it, and what details matter most. A simple structure is: Subject + setting + composition + style + text + constraints.
A premium skincare bottle on a limestone pedestal in soft morning light. Warm neutral studio background. Product centered in a vertical composition. Add the headline “Simple Care, Every Day” above the bottle in clean black sans-serif text. No extra text.
Create a modern concert poster with a black background, red geometric shapes, and one centered portrait. Add “LIVE IN BROOKLYN” at the top and “FRIDAY 8 PM” at the bottom. Keep the typography bold and easy to read.
Create a clean studio product photo of a white running shoe on a light gray background. Three-quarter angle, soft shadow, realistic materials, no text, no additional objects.
Vertical summer product poster with a bright blue background, one centered product, and clean white typography. Add “SUMMER NEW” at the top and “EXPLORE NOW” below the product. Minimal, modern, bold, easy to read. No Chinese text.
Create concepts for Instagram posts, TikTok covers, YouTube thumbnails, illustrated stories, promotional graphics, and personal creative projects. Use prompts to test different layouts, styles, headlines, scenes, and visual directions before selecting what you want to refine.
Create campaign concepts, product ads, promotional posters, social graphics, launch visuals, and localized creative assets. Detailed prompt control is useful when your brief includes specific copy, product placement, layout requirements, or several required visual elements.
Explore product scenes, product photography variations, packaging concepts, launch visuals, catalog imagery, and branded social content. Reference images can help guide concepts built around an existing product or recognizable visual asset.
Create early interface concepts, diagrams, presentation graphics, design mockups, storyboards, and visual drafts for internal review. This can help turn a written brief into something visual before moving into a full design or production process.
gpt-image-2The model identifier used for GPT Image 2 workflows.
Create a new visual directly from a natural-language prompt.
Use existing images to guide subject, style, or composition.
Describe changes to an uploaded image in natural language.
Improved handling of words, labels, and headlines in images.
Create visual concepts that include text in multiple languages.
Follow detailed direction for objects, placement, and lighting.
Arrange multiple visual elements within a defined composition.
Flexible output sizes for detailed creative production.
Adapt output for square, portrait, and landscape formats.
GPT Image 2 is positioned around improvements to several image-generation workflows, including text rendering, detailed instruction following, image editing, and more flexible layouts.
Important: This comparison reflects OpenAI's published product information; it is not an independent benchmark.
Improved image generation does not mean every output will be production-ready on the first attempt.
Check names, numbers, spelling, labels, and longer passages manually.
Review logos, product details, packaging copy, and other brand-sensitive elements against the original source.
Dense diagrams, multi-object scenes, interfaces, and detailed posters can require another generation or editing pass.
Treat the first generation as a creative output to review, not as an automatically approved final asset.
Choose a one-time PWZ credit pack for image generation and editing workflows. The exact GPT Image 2 credit cost is shown with the selected generation settings before you create.
600 credits · $0.042 per credit
Perfect for trying out PWZ — get started with a credit balance for your first generations.
2,000 credits · $0.030 per credit
For creators generating regularly — better per-credit value for daily PWZ workflows.
4,000 credits · $0.025 per credit
Best value for teams and content pipelines — more generations at the lowest per-credit cost.
GPT Image 2 is an AI image generation and editing model that can create new images from prompts and refine existing images through written instructions.
Key features include improved text rendering, stronger prompt following, image editing, multilingual visual text, structured layouts, and output options up to 2K.
Enter a prompt, optionally upload a reference image, generate the image, and refine the result with additional instructions when needed.
Yes. Text rendering is one of the capabilities highlighted for GPT Image 2. Important text should still be reviewed manually before publishing.
Yes. You can use an existing image as input and describe what you want changed or refined.
The model information used for this page states that GPT Image 2 supports resolutions up to 2K.
GPT Image 2 is positioned as an improvement in text rendering, image editing, prompt following, and structured visual layouts. Exact quality differences should be supported by reproducible testing rather than unsupported scores.
Turn a written idea or reference image into your next visual, then refine the result until it fits your brief.
Open the Image Studio