GPT Image 2 Boosts Text, Layout, and Photorealism (Full Transcript)

[00:00:00] Speaker 1: GPT Image 2 is OpenAI's new flagship image model and it's a step up across the board. Improved text rendering, dense layouts, photo realism, multilingual support, instruction following and aspect ratios. And so in this video we're breaking down every major improvement and if you want to try GPT Image 2 for yourself you can click the first link in the description down below to use it inside 11creative. The headline feature is text rendering. GPT Image 2 is reported at 99% text accuracy, up from roughly 60-70% on previous models. This means that menus, magazine covers, product labels, UI screenshots etc. all come out usable with the first generation. And so anyone making marketing assets, this alone is a major win. And speaking of menus and magazine covers, GPT Image 2 has heavily improved its typographic hierarchy. This means that it's much better at dense layouts and composition, things like headlines, subheads, body, copy captions, quotes etc. They all sit and feel in the right place within your design, making the design of your generations a lot nicer, because GPT Image 2 is much better at dense layouts and composition. One of the next major improvements is photo realism. GPT Image 2 outputs are actually very realistic and they look like photographs. And what's really cool is that if you include camera and film references in your prompt, the model can reliably encode color signs, grain, depth of field etc. So you can get much more aesthetic visuals and generations that look real. After that we've also got multilingual improvements, so GPT Image 2 can now also generate non-Latin text properly. So Japanese, Korean, Chinese, Hindi and Bengali should all come out much better in the generations. And the cool part is they don't just translate it and drop it in, but it's integrated into the design itself. This allows you to translate assets and graphics and generate posters, menus and ads in multiple different languages while still having it look nice. After that the next improvement is spatial reasoning. There's a big step up here because you can prompt things like a red cube on a blue sphere inside a pyramid with green light from the left casting a cyan shadow. And the model actually gets the relationships correct. So GPT Image 2 is much better at handling prompts with multiple objects, specific placements, lighting directions, material properties, all within the same generation and respecting the relationship between all of those. The model treats mixed lighting as technical instructions and not just approximations. So it's much better at handling the relationship between light bouncing off of metallic surfaces and glass refractions. GPT Image 2 now also finally has flexible aspect ratios that go 3 to 1 wide and 1 to 3 tall. So you can finally do banners, vertical stories and all the formats that you couldn't do before. Resolution goes all the way up to 4K and is running roughly two times faster than GPT Image 1.5. And this is what finally makes GPT Image 2 usable across marketing creation within your workflow, because it's much more realistic and it's much faster, and you can generate all of the formats that you need. Now, if we're being critical, after doing some intensive prompting, there are a few things that the model still isn't great at. So for example, if we look at these two generations here, I much prefer the GPT Image 2 generation, but the sun is behind the car. And therefore, we shouldn't be seeing this orange shine on the other side of the car. We've also found that dense and repetitive textures like sand grains in the generations, they can get a little bit mushy and lose detail. And GPT Image 2 has a slight tendency to generate darker images compared to other models like Nano Banana 2 or Nano Banana Pro. But this isn't necessarily a bad thing, just more of a stylistic choice. And while it's better at multilingual text, it still struggles having multiple different languages within the same prompt, as we can see from this generation right here. GPT Image 2 was consistently getting the languages and a few other details wrong for this particular example, but it's worked very well on others. And when there is just one language, it is much better. And to give you one last example, if we compare this prompt for GPT Image 1.5 and GPT Image 2, the GPT Image 2 version is much more complete and makes a lot more sense. On the 1.5 version, we've got the left and right profile, which are the same profile, but it doesn't make that mistake on the GPT Image 2 version. There's also a lack of realism in the eyes and the generation of the actual character itself. And it's just a much more thorough layout from the GPT Image 2 version. But we'd love to know what you think. If you haven't tried it yet, you can click the first link in the description down below to try out GPT Image 2 inside of 11creative. Drop your thoughts in the comments. And if you want to see more videos like this, where we break down models and show you how to use them, hit that like button and don't forget to subscribe. Thanks for watching.