GPT Image 2 Features, Resolution & API Guide
This guide covers GPT Image 2 technical capabilities — resolution tiers, text rendering, editing workflows, and API access. For a quick overview and to start generating, visit the GPT Image 2 generator on ImageGen 2.
What Makes GPT Image 2 Different from Earlier Models?
Earlier OpenAI image models — DALL-E 2 and DALL-E 3 — were standalone diffusion-based systems. GPT Image 2 integrates image generation directly into the GPT-4o architecture, giving it a far stronger grasp of complex, multi-step instructions. You can describe a scene with dozens of specific constraints and GPT Image 2 will follow each one accurately.
The most measurable difference is text rendering. DALL-E 3 could produce approximate text; GPT Image 2 produces precise, legible text in signs, labels, UI mockups, and product packaging — a critical capability for commercial use cases.
Resolution is also a step change. While DALL-E 3 topped out at 1792 × 1024 px, GPT Image 2 supports outputs up to 4096 × 4096 px, suitable for print-quality assets without upscaling.
What Can GPT Image 2 Generate?
GPT Image 2 handles a wide range of creative and commercial tasks: photorealistic product photography, concept art, UI/UX mockups, marketing banners, social media graphics, packaging designs, architectural visualizations, and character sheets. Its instruction-following accuracy makes it especially useful when you need precise control over every element in the composition.
The model also supports image-to-image workflows. You can upload an existing photo and use a text prompt to modify specific regions with a mask, extend the canvas with outpainting, or apply a style transfer while preserving the original structure.
What Are the Resolution and Format Options?
GPT Image 2 outputs images in square, portrait, and landscape orientations. The maximum resolution is 4096 × 4096 px (4K square). Standard output is 1024 × 1024 px, which is sufficient for most web and social media use. Higher resolutions are available for print and professional workflows.
Output format is PNG by default. The API also supports returning a base64-encoded image or a URL depending on your integration.
Can I Use GPT Image 2 Images Commercially?
Yes. Under OpenAI's usage policies, you retain ownership of the images you generate and can use them for commercial purposes including advertising, product packaging, and resale — subject to OpenAI's content policies. ImageGen 2 inherits these rights: every image you create through our platform is yours to use commercially.
You do not need to credit OpenAI or ImageGen 2 when using generated images in your work. However, you may not use generated images to train competing AI models or misrepresent AI-generated content as being photographed or hand-drawn.
How Do I Access GPT Image 2?
You can access GPT Image 2 through ImageGen 2, which provides a no-code interface for generating, editing, and downloading images. Start with a free trial with limited daily generations. Paid plans unlock higher resolution output, increased generation limits, and priority processing.
Developers can also access GPT Image 2 via the OpenAI Images API at platform.openai.com. The model identifier is gpt-image-alpha (check OpenAI's documentation for the current identifier as it may be updated).