Google’s Nano Banana Pro unleashes next-gen image AI for creators and professionals

Google has officially launched Nano Banana Pro, the latest iteration of its AI-image generation and editing model, designed to deliver markedly higher resolution, stronger text rendering and greater control for creators.

The new model sits atop the Gemini family of models (specifically built on Gemini 3, according to TechCrunch) and introduces key enhancements such as 2K/4K output resolution, the capability to maintain the likeness of up to five people across edits, improved multilingual text output and deeper prompt control over lighting, angle and scene composition.

For instance, Google says users can now prompt the model to create an infographic: upload reference images, specify camera angle, lighting, text placement and even blend multiple objects or people — and receive results that look production-ready.

In addition to visual fidelity, Google emphasises that Nano Banana Pro enables 'advanced text rendering' inside images — a longstanding pain point for generative models. This means the model can generate signage, labels or multilingual text embedded in a visual without the garbled characters that earlier models produced.

Adobe, meanwhile, announced integration of Nano Banana Pro into its Creative Cloud apps (Firefly, Photoshop) via partner model pipelines, giving designers the option to select Google’s model when they need higher quality or specific editing controls.

Beyond features, this launch signals Google’s intent to compete more aggressively in the professional image-AI space. While earlier versions of Nano Banana were seen more as mobile-friendly or consumer-creative tools, the 'Pro' label and pricing strategy (higher cost per image for higher resolution outputs) suggest a shift toward creators, agencies and commercial workflows.

That shift also raises broader questions around ethics, content-authenticity and misuse. An article in The Washington Post highlighted how models of this power make realistic image-manipulation accessible to non-experts — with potential implications for misinformation.

For end-users the key take-aways are: if you’re working in image creation or editing and care about fidelity, control and multilingual text within visuals, Nano Banana Pro offers a meaningful upgrade. On the flip side, those working at scale or in regulated industries should still weigh traceability, watermarking (Google’s 'SynthID' mark is referenced in documentation) and licensing.

As generative-AI tools proliferate, Google’s rollout of Nano Banana Pro — and its integration with tools like Adobe’s Firefly — underscores a moment where image-AI is being pushed from playful creativity into professional workflows. How quickly creators adopt it, and how workflows adapt, remains a key story to watch in 2026.