GPT Image 2

GPT Image 2 is an AI image generation platform built for users who need more controllable visual output, especially when prompts include text, branding elements, product packaging, headlines, or layout-sensitive creative work. It focuses on combining fast generation with clearer typography, photorealistic rendering, reference-based consistency, and an easy web workflow for creators, marketers, designers, and e-commerce teams. The platform supports prompt-based image creation, multi-turn editing, multiple aspect ratios, and higher-resolution export options for both digital and business use. According to the site, users can upload reference images to keep colors, style, and visual direction more consistent across a campaign or creative series. It also emphasizes fast generation, practical output formats, and workflows designed for social media visuals, ads, product mockups, brand assets, and other commercial-ready content.

Key Features

• AI image generation from natural language prompts
• Strong text rendering for logos, packaging, headlines, and other typography-heavy visuals
• Photorealistic output with support for higher-resolution image generation and upscale options
• Reference image support for better style, palette, and brand consistency
• Multi-turn conversational editing for iterative refinement
• Multiple aspect ratios for social media, ads, print, and widescreen content
• Downloadable output suitable for marketing, content creation, and creative production workflows 

Use Cases

• Marketing creatives and ad visuals
• Product images, mockups, and e-commerce assets
• Logo concepts, branded graphics, and packaging design exploration
• Social media posts, thumbnails, posters, and campaign artwork
• Rapid concept development for designers and creative teams
• Visual experiments for landing pages, storytelling, and digital content production 

Who It’s For

GPT Image 2 is designed for creators, indie makers, marketers, designers, and businesses that want a faster way to generate visual assets without relying on complex design workflows. It is especially useful for users who care about readable text inside images, brand consistency, and quick iteration during content production.