GPT Image 2

GPT Image 2 is OpenAI's image generation and editing model. It produces photorealistic scenes with strong materials and lighting, renders dense text and complex layouts (infographics, UI mockups, marketing), and supports precise edits that preserve identity, composition, and lighting when you supply reference images.

Depending on the API product, it may be offered with configurable quality tiers and a fixed set of aspect ratios (for example square and landscape–portrait pairs). Some hosts expose only a subset of ratios—so workflows that need exact vertical dimensions may compose or crop from the closest supported preset.

Transparent PNG backgrounds are not universally supported on every GPT Image 2 surface; check OpenAI and host documentation for background and alpha-channel behavior.

GPT Image 2 handles text-to-image generation and image editing with instruction following. Pass one reference image for targeted edits or multiple images to combine styles, subjects, or references into one output. The model aims to preserve high fidelity on inputs automatically.

Expect natural lighting, believable materials, and readable text when you quote exact copy and describe typography. The model is suited to thumbnails, hero frames, infographics, and branded shorts where legibility matters.

APIs often support discrete ratios such as 1:1, 3:2, and 2:3. When a platform requires a ratio the endpoint does not emit natively (for example some vertical social formats), teams commonly generate the nearest tall portrait preset and crop or letterbox in post.

Where exposed, quality settings (such as low, medium, high, or auto) trade latency and cost against fidelity. Pick the tier that matches your iteration phase versus final delivery needs.