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Explore GPT Image 2 prompts for marketing visuals, product photography, UI mockups, typography, and high-fidelity image editing. Use these examples as starting points for your own generations.
Browse prompt examples for photorealism, readable text, accurate layouts, and polished commercial visuals
Access all leading AI models in one platform. Create stunning images and videos with Veo 3.1, Wan 2.6, Sora 2 Pro, Kling 2.6, Seedance 1.5 Pro, Flux AI, Nano Banana, and more—no multiple subscriptions needed.
GPT Image 2 is built for practical image generation. It handles product shots, readable text, realistic interfaces, and detailed commercial visuals more reliably than most general-purpose image models.
This library helps you move faster by reusing prompt patterns that already work well for posters, landing page mockups, app screens, social graphics, packaging concepts, and high-quality photo edits.
Use GPT Image 2 for posters, banners, UI labels, packaging, and promo graphics where text clarity matters.
Generate app screens, dashboard mockups, landing page concepts, and interface-heavy visuals with cleaner layout control.
Create product photography, ad creatives, hero images, and detail-driven showcase images with polished lighting and composition.
Use prompt structures for replacement, cleanup, style transfer, and compositing workflows that require clearer instruction following.
The model is stronger at contextually accurate signs, maps, clocks, interfaces, and branded scenarios that depend on real-world logic.
Good fit for marketing teams, ecommerce sellers, founders, product teams, and content creators who need usable visuals fast.
Open any example, inspect the prompt structure, then adapt the subject, style, lighting, layout, and text for your specific output.
Many good GPT Image 2 prompts follow a repeatable pattern: subject, context, composition, lighting, text requirements, and output style.
If you need a poster, UI, or product card, describe placement, spacing, visual hierarchy, and the exact copy you want rendered.
Use the examples here as version 1. Then refine only one dimension at a time: typography, realism, camera angle, or color direction.
GPT Image 2 is OpenAI's image generation and editing model built for practical visual work. It is especially strong at photorealistic images, readable text inside images, interface mockups, product visuals, and instruction-heavy image editing where layout accuracy matters.
Open any example, inspect the prompt, then copy and adapt it for your own generation. The easiest workflow is to reuse the structure of a proven prompt, then replace the subject, text content, lighting, composition, style, or product details to match your own use case.
GPT Image 2 is stronger than many image generators in business-style image tasks. It tends to do better with posters, ads, UI screens, product cards, branded assets, and any output where you need text to remain readable, layouts to stay coherent, and details to follow explicit instructions more closely.
Yes. That is one of its main strengths. GPT Image 2 is a good fit for prompts that include headlines, UI labels, packaging copy, menus, diagrams, interface text, or simple multilingual typography. It is still worth iterating on dense text layouts, but it generally performs better than most alternatives in this area.
Yes. Many of the prompt patterns on this page work well for both text-to-image and image editing workflows. You can reuse the same prompt logic for replacing backgrounds, updating packaging, cleaning up compositions, changing styles, or extending an existing visual with more explicit instructions.
These prompts are best for product photography, ad creatives, landing page mockups, app screens, ecommerce images, posters, social graphics, presentation visuals, and polished commercial images where realism, clean composition, and readable copy are more important than abstract artistic style.
Yes. You can open, study, copy, and adapt the prompts on this page for your own GPT Image 2 generations. They are intended as reusable starting points.
