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GPT-Image-2.6 Game Mockups: Testing One Scene Across 10 Genres

quantslant@ai:~$ cat news_1

› I took a single scene: a concrete housing estate, a playground, a corner kiosk named "Sklep u Zenka", a man in a tracksuit, and a grandmother holding grocery bags.

quantslant@ai:~$ cat news_2

› Then I asked OpenAI's new GPT-Image-2.6 to generate screenshots across ten different video game genres, ranging from a 16-bit JRPG to an arcade fighting game.

quantslant@ai:~$ cat news_3

› Each image is a single generation pass, without cherry-picking until it looked right.

quantslant@ai:~$ cat news_4

› Using the Sunburst model at high quality, generations averaged 52 seconds and cost $0.04 each.This is not a direct model bake-off, but rather a stress test of how well GPT-Image-2.6 adapts when given a strict visual style and UI convention instead of a generic photo prompt.

quantslant@ai:~$ open --full
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GPT-Image-2.6 Game Mockups: Testing One Scene Across 10 Genres

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