GPT Image 2 is an AI image generator and editor for people who need polished visuals, readable text layouts, product scenes, posters, and reference-led edits in a browser workflow.
GPT Image 2 turns natural-language prompts into finished visuals and can also use reference images when you want to restyle, refine, or rebuild an existing direction.
The main homepage is the fastest place to generate. This page exists as the focused GPT Image 2 guide: what the model is useful for, how the workflow fits together, and which supporting pages help with prompts or pricing.
These are the practical image-generation jobs where searchers usually want a direct answer before opening the generator.
Use text-to-image when the idea starts as a brief, or image-to-image when an existing visual should guide the result.
Include subject, layout, lighting, text requirements, product details, and the final use case.
Review the result for composition, text space, product fidelity, background simplicity, and brand fit.
Open the prompt library for faster starts and the pricing page when you need to plan larger batches.
Use the exact page that matches what you are trying to do next.
Generate text-to-image and image-to-image results from the main workflow.
Open generatorCopy prompt examples for posters, product visuals, text-heavy layouts, and reference edits.
Browse promptsCompare credit packs and understand the practical cost of repeated generation.
View pricingIt can be used for both. Start from a text prompt for new images, or upload a reference image when you want image-to-image editing and refinement.
It is strongest for commercial visuals such as posters, product scenes, social graphics, readable text layouts, and reference-led edits.
Start on the homepage generator if you already have a prompt. Open the prompts page if you need examples first.
Yes. Use a reference image when you want to preserve a direction while changing style, lighting, materials, background, or composition.
The site uses one-time credit packs. Each current generation uses 3 credits, so the pricing page shows how credits translate into approximate generation volume.