GPT Image 2 — OpenAI's State-of-the-Art Image Generator

Fast, high-quality image generation and editing with stronger layouts, denser text, broader language support, more faithful styles, and stronger contextual accuracy.

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GPT Image 2 is documented here as a public model preview. Open Vofy Studio to compare the currently available models and related workflows.

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This page summarizes the public launch materials for GPT Image 2. Use Vofy Studio to compare the video models currently exposed in this build.

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GPT Image 2 — OpenAI's State-of-the-Art Image Generator

What's New

What's New in GPT Image 2

OpenAI's launch materials position GPT Image 2 as a step forward in detailed instruction following, text-heavy layouts, multilingual rendering, style fidelity, flexible output formats, and stronger world knowledge.

Editorial-style control image showing precise layout, object placement, and dense text handling

GPT Image 2 — Precision and Control

Greater Precision and Control

OpenAI describes GPT Image 2 as a step change in detailed instruction following. The model is designed to place and relate objects more accurately, preserve layout intent, and handle denser text inside the image itself. That makes it more practical for posters, explainers, magazine spreads, and other structured visual outputs where composition and legibility matter.

Language-focused poster highlighting multilingual rendering in an India-themed design

GPT Image 2 — India Bookstore

Stronger Across Languages

OpenAI says GPT Image 2 makes significant gains beyond English and other Latin-script languages, especially for non-Latin text rendering. The goal is not just translating a label or two, but generating coherent posters, diagrams, and comics where language is part of the design. That makes the model more usable for multilingual campaigns, regional creative work, and globally distributed products.

Candid people scene demonstrating realism, style fidelity, and natural human composition

GPT Image 2 — Candid People Scene 1

Stylistic Sophistication and Realism

OpenAI positions GPT Image 2 as more faithful across a wide range of visual styles, from photography and cinematic stills to illustration, manga, and graphic design. The emphasis is not only on realism, but on capturing the defining characteristics of a requested medium with stronger consistency in texture, lighting, composition, and fine detail.

Wide-format manga-style composition demonstrating flexible horizontal image sizing

GPT Image 2 — Wide Manga Disassembly

Tall storybook-style composition demonstrating flexible vertical image sizing

GPT Image 2 — Tall Storybook Composition

Flexible Sizing and Stronger World Knowledge

OpenAI's image generation guide describes GPT Image 2 as supporting flexible sizing as long as the model's resolution constraints are satisfied, with long-edge ratios up to 3:1. OpenAI's launch materials also highlight stronger world knowledge and contextual accuracy for explainers, maps, educational graphics, and other context-sensitive visual work.

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Images Generated with GPT Image 2

Official sample outputs and launch graphics sourced from OpenAI's GPT Image 2 / ChatGPT Images 2.0 launch materials.

GPT Image 2 — Seashore Scene

GPT Image 2 — Seashore Scene

Getting Started

How to Create AI Images with GPT Image 2

1

Start from Prompt or Image

GPT Image 2 accepts text prompts for generation and image inputs for editing. OpenAI's API docs position it for fast, high-quality image creation as well as iterative edit workflows.

2

Specify Layout, Style, and Language

Describe the composition, aspect ratio, visual medium, and any embedded copy you need. OpenAI's launch materials emphasize gains in structured layouts, dense text, multilingual rendering, and style fidelity.

3

Iterate Toward the Final Asset

Use follow-up edits to refine the result. GPT Image 2 is designed for workflows where you need to preserve composition intent, improve detail, or adapt a concept into new formats and campaign variants.

Specifications

GPT Image 2 Technical Specs

Model IDgpt-image-2
Snapshotgpt-image-2-2026-04-21
Primary InputText, image
Primary OutputImage
Core WorkflowsImage generation and image editing
PerformanceHighest
SpeedMedium
Input FidelityHigh-fidelity image inputs supported
SizingFlexible sizing with long-edge ratios up to 3:1

Evolution

GPT Version Comparison

FeatureGPT Image 1.5GPT Image 2
Core workflowsImage generation and editingImage generation and editing
Dense text and layoutsStrongLaunch materials highlight a major step forward
Multilingual renderingImprovedStronger beyond Latin-script layouts in launch materials
Style fidelityHigh-qualityLaunch materials highlight broader fidelity across photography, manga, design, and illustration
Sizing flexibilityPreset output sizesDocs describe flexible sizing up to 3:1 long-edge ratios
Image inputsReference and edit workflowsHigh-fidelity image inputs supported

Use Cases

What You Can Create with GPT Image 2

From social content to professional workflows, see how creators and teams are using AI image generation across industries.

Editorial Layouts and Infographics

Editorial Layouts and Infographics

Dense, readable layouts are one of the clearest launch themes for GPT Image 2. That makes it a strong fit for explainers, magazine spreads, visual reports, and poster-style knowledge work where design and information density need to coexist.

Multilingual Campaigns

Multilingual Campaigns

OpenAI specifically highlights stronger rendering across non-Latin writing systems including Japanese, Korean, Chinese, Hindi, and Bengali. This is useful for regional campaign creative, localized posters, and product visuals that need language to feel native to the design.

Brand and Product Marketing

Brand and Product Marketing

The launch examples include polished commercial compositions with lifestyle framing, packaging, typography, and product storytelling. GPT Image 2 is aimed at workflows that need product hero shots, social assets, launch posters, and campaign variations without switching tools.

Educational and Research Visuals

Educational and Research Visuals

OpenAI positions GPT Image 2 as stronger on real-world intelligence and context-aware explainers. That makes it useful for maps, summaries, educational graphics, and other visuals where correctness, legibility, and structure all matter.

Frequently Asked Questions

Everything you need to know about GPT Image 2.

What is GPT Image 2?
GPT Image 2 is OpenAI's state-of-the-art image generation model, announced on April 21, 2026. In the API it is available as `gpt-image-2`, and OpenAI describes it as a major step forward in fast, high-quality image generation and editing, with stronger instruction following, dense text rendering, multilingual support, and broader visual fidelity.
How does GPT Image 2 compare with GPT Image 1.5?
OpenAI positions GPT Image 2 above GPT Image 1.5 on overall capability. The launch materials emphasize more precise layouts, stronger dense-text rendering, larger gains beyond Latin-script languages, more faithful styles, more flexible sizing, and stronger world knowledge for context-sensitive visuals.
Does GPT Image 2 support image editing?
Yes. OpenAI's model page lists text and image as inputs and image as the output, and it explicitly positions GPT Image 2 for both image generation and image editing. OpenAI also highlights support for high-fidelity image inputs in the API documentation.
How good is GPT Image 2 at text-heavy layouts?
Dense text is one of the core themes in OpenAI's launch materials and system card. OpenAI describes GPT Image 2 as a major step forward in rendering detailed layouts and text-heavy compositions such as explainers, posters, and editorial spreads, where legibility and visual structure are both important.
Does GPT Image 2 handle non-English text well?
OpenAI says GPT Image 2 makes significant gains beyond English and other Latin-script languages, especially for Japanese, Korean, Chinese, Hindi, and Bengali. The claim is not just that it can translate labels, but that it can generate coherent visual designs where multilingual text is part of the composition.
What does OpenAI mean by 'real-world intelligence'?
In the launch materials, OpenAI describes GPT Image 2 as stronger on world knowledge and contextual accuracy inside image creation. The intended benefit is more reliable explainers, maps, educational graphics, and visual summaries when the image depends on real-world context.
Is ChatGPT Images 2.0 thinking mode the same thing as the GPT Image 2 API model?
Not exactly. GPT Image 2 is the API model name. OpenAI also introduced a ChatGPT product experience called ChatGPT Images 2.0, and the system card says the accompanying thinking mode can add reasoning, tool use, live web search, and multiple-image generation inside ChatGPT. Those are launch-experience capabilities around the model, not a separate `gpt-image-2` model ID in this repository.
What safety and provenance protections did OpenAI describe for GPT Image 2?
OpenAI's system card describes a multi-layer safety stack with prompt-layer filtering, image-input blocking, and output blocking before images are shown to users. OpenAI also says ChatGPT Images 2.0 continues to use C2PA metadata and adds an imperceptible, robust, content-specific watermark to improve provenance tooling.
Is GPT Image 2 already available in this Vofy build?
Yes. As of April 22, 2026 this repository exposes `gpt-image-2` as a selectable Studio image model with text-to-image, image-to-image, and inpainting support, plus product-surfaced controls for quality, background, and exact size.

Explore Image Workflows in Vofy

Open Vofy Studio to compare the image models currently exposed in this build and use this page as a reference for GPT Image 2's public launch capabilities.

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GPT Image 2 is developed by OpenAI. Product information and sample media on this page are adapted from OpenAI's official API docs, launch materials, pricing page, and deployment safety documentation.