Open Grok Imagine 2 when the thing you are making is drawn, painted, or built in a style. Open GPT Image 2 when it has to look photographed, or when there are words in it that somebody will read. Both models are current flagships and both are in Picsart, so the choice is about the job, not about which one is better.<\/p>\n
Grok Imagine 2 is the newest image model from xAI, trained to hold up across three areas at once: photography, design and illustration. Editing is part of the model itself rather than a layer added over the top of it. GPT Image 2 is OpenAI’s newest, and it is built around two things it does unusually well: skin, light and surfaces that read as a real photograph, and letters that come out correct.<\/p>\n
| <\/th>\n | Grok Imagine 2<\/th>\n | GPT Image 2<\/th>\n<\/tr>\n<\/thead>\n |
|---|---|---|
| Who makes it<\/th>\n | xAI<\/td>\n | OpenAI<\/td>\n<\/tr>\n |
| Strongest at<\/th>\n | Illustration, stylized and designed work<\/td>\n | Photorealism, and words that must be correct<\/td>\n<\/tr>\n |
| Handling text<\/th>\n | Plans typography and layout as a composition<\/td>\n | Around 99% character accuracy in six scripts<\/td>\n<\/tr>\n |
| Keeping a look consistent<\/th>\n | Carries a style across separate generations<\/td>\n | Up to 10 matching images in one run<\/td>\n<\/tr>\n |
| Editing what you have<\/th>\n | From an instruction, no selection to draw<\/td>\n | From an instruction, plus extending the frame<\/td>\n<\/tr>\n |
| Largest image<\/th>\n | 2k<\/td>\n | 2048 by 2048, with a 4096 by 4096 beta<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Here is how that plays out across the work most people actually bring to an image model.<\/p>\n Illustration, pixel art, and art styles<\/span><\/h2>\nGPT Image 2 is the stronger pick here, and its specific claim is worth knowing. The two tells that used to mark an image as generated, a warm cast over everything and skin with a waxy finish, have been trained out. Pores and fine lines survive. Shadows sit where the light source says they should. Depth of field falls off gradually instead of all at once.<\/p>\n That makes it the model for product shots, for portraits and headshots, for interiors, and for anything going into a place where a real photograph would normally sit. A catalog page. A press kit. A slide where a stock photo would look obviously stock.<\/p>\n Photography is one of the three areas Grok Imagine 2 was trained on, so it is far from a bad photographic model. But when the test is whether a viewer would assume a camera made it, GPT Image 2 is the safer bet.<\/p>\n Text inside the image<\/span><\/h2>\nBoth models do this, and they do it differently enough that the difference decides jobs.<\/p>\n GPT Image 2 returns a matching batch from a single prompt, and in Picsart you can ask it for up to 10 at once. You describe the thing once and the whole set comes back together. That suits a product series, a storyboard, or a set of variants where the whole set arrives together.<\/p>\n Grok Imagine 2 works the other way. What you feed it survives from one generation to the next and through edits, so a look carries forward across images made separately at different times. That is how you build out a world: a character in one generation, the places she goes in the next few, the objects she carries after that, all holding the same style. For game assets, a comic, or a video project that needs a consistent visual bible, that is the more useful shape.<\/p>\n Editing a photo you upload<\/span><\/h2>\nGrok Imagine 2 has 13 frame shapes, and the interesting ones are at the extremes: 19.5:9, 9:19.5, 20:9, 9:20, 2:1 and 1:2. Those cover a phone screen edge to edge, and the long thin banners that ad slots ask for.<\/p>\n GPT Image 2 has 7, running from 1:1 out to 16:9 and 9:16, plus an auto setting that picks the shape for you. It reaches widescreen in both orientations, but it cannot be persuaded into a 20:9 banner. If you already know the slot this image has to fill and its shape is unusual, check the list first. No amount of prompting adds a frame the model was not given.<\/p>\n Which model to pick for each job<\/span><\/h2>\n |