MAI-Image-2

MAI-Image-2 is a text-to-image model built for the kind of work where the output has to survive being put in front of a customer: product shots, ad creative, landing-page hero images and social visuals. Two things distinguish it from the general-purpose crowd. The first is photorealism with sensible cinematic composition — lighting, depth and framing that hold together rather than the flat, over-saturated look that gives generated imagery away at a glance. The second is in-image text. Rendering legible words inside a picture has been the standing weakness of diffusion models, and it is precisely what marketing images need constantly: a price on a label, a headline on a poster, a name on a package. MAI-Image-2 handles this considerably better than the older generation, which removes a common round-trip into a design tool. The team points to a top-three placement on Arena.ai with a substantial Elo gain, and benchmark position is worth what benchmark position usually is — a signal that the model is competitive, not proof it fits your particular brief. Practical caveats apply. Photoreal generation still needs prompt iteration to land a specific composition, complex multi-subject scenes remain harder than single-hero shots, and anything involving real people or trademarked products carries the usual legal and ethical questions regardless of which model produced it. There is a free tier to test against your own prompts, which is the only evaluation that matters here — run the images you actually need before committing budget.