Explore curated image generation and editing prompts for GPT Image 2, then open them directly in the AI Raphael workspace.
Model Guide
GPT Image 2 is OpenAI’s high-fidelity image generation and editing model, focused on readable text, structural stability, and business-ready visual polish for marketing, design, ecommerce, and content production.
The model is strong at readable titles, logos, slogans, button copy, and UI labels for visual assets that depend on clear text.
Helpful for complex scenes where product shapes, anatomy, lighting reflections, and material details need to stay believable.
Supports both new text-to-image concepts and reference-image workflows such as localized edits, style transfer, and composition refinement.
Good fit for campaign visuals, social posts, ecommerce showcases, and brand assets that need to feel closer to publish-ready output.
GPT Image 2 is positioned to turn creative concepts into visuals that feel closer to publish-ready assets. It is reliable for image text, layout stability, product structure, and complex scene logic, making it useful for ads, packaging mockups, ecommerce assets, social visuals, and UI concepts.
The model is not limited to text-to-image generation. It also supports more stable image editing workflows, including reference-image editing, localized region changes, style transfer, sketch refinement, and layout improvement for design, marketing, and content teams.
When a visual contains headlines, logos, labels, buttons, product structure, or complex layout, GPT Image 2 has an advantage in text accuracy and structural consistency. It is especially useful for commercial design work rather than only early creative sketches.
Answers about GPT Image 2 capabilities, use cases, and how it differs from Nano Banana.