Google announced the Nano Banana Proits most sophisticated imaging model to date. Built on the Gemini 3 Pro architecture. The launch marks a clear change in strategy: instead of competing only with the abstract creativity of Midjourney, Google wants to occupy the space of a reliable production tool within agencies and studios, and direct assistance in the daily lives of people around the world.
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Nano Banana Pro
The new AI directly attacks the flaws that have prevented large-scale commercial use of synthetic images: the inability to generate coherent text, the lack of geometric precision, and the disconnect with industry-standard editing software. Nano Banana Pro promises to be a rendering engine that understands physics and typography, and now with direct integration into the Adobe ecosystem.
The template natively supports 2K and 4K resolutions and allows you to merge up to 14 reference images while maintaining visual consistency — a critical feature for maintaining brand identity in campaigns. See below 5 examples that prove the evolution of this new model.
Generating Stunning Cinematic Images

Nano Banana Pro introduces technical control over scene composition that goes beyond the randomness typical of imagers. The model understands camera physics and can execute specific photographic framing commands. Requests like diving, low angle, over-the-shoulder or simulations of wide-angle lenses (e.g. 14mm) result in optical distortions and correct perspectives.


This means art directors and cinematographers can use it to create storyboards and pre-visualizations with valid technical references, not just conceptual ones. The system allows you to adjust camera angles, modify the depth of field (bokeh) and transform the lighting of a scene (such as converting day to night) while maintaining the consistency of the elements.


With support for 2K and 4K resolutions and multiple aspect ratios, the images generated are of sufficient quality for use in professional audiovisual production.


Style Transfer with Consistency


The function of Style Transfer received a temporal and structural consistency upgrade. The model can convert inputs 2D (such as anime or schematics) in photorealistic renderings (live-action) while maintaining coherent anatomy and lighting. This is vital for the games and film industries, allowing you to test radically different art directions on the same concept base without losing the original identity of the character or setting.


Accuracy in Text Generation

Nano Banana Pro has considerably improved text rendering capabilities. The model is now capable of rendering long blocks of text, logos and promotional headlines with correct spacing and realistic integration into the surface of objects (e.g. curved text on a can or embroidery on fabric). This improvement is also evident when a scene with multiple texts in the same image is requested, a demanding test that causes many AI models to make mistakes.

Thanks to this refinement in its ability to handle texts, Nano Banan Pro produces even more impressive infographics, comics and other content.



Restoration and upscaling
The model applies contextual inference for image restoration. In old or damaged photos, it not only removes noise, but reconstructs skin and fabric textures based on historical and physical context. Furthermore, the upscaling to 4K adds high-frequency details (such as pores and fibers) that were not present in the original file, making low-resolution images usable in print large format.


Potential for advertising campaigns
For the advertising market, Nano Banana Pro tackles a chronic problem with generative AI: product consistency. While Midjourney has established itself as the go-to for many art directors for its refined aesthetic, it often requires considerable effort to maintain the exact fidelity of an object when varying settings.

Google’s model demonstrates the technical ability to render the same product — keeping geometry, labels and textures unchanged — in multiple environments, from the beach to the corporate office. This precision in targeting contexts without “hallucinations” offers a robust technical alternative for industrial-scale campaigns, which may lead agencies to reconsider their current workflows in favor of Google’s solution.
How to access Nano Banana Pro?

The model is now available to everyone through the Gemini app (Android/iOS) and in the web version. To use, simply select the “Create image” option and choose the “Reasoning” model to activate Gemini 3 Pro. Use is free, but it works via a daily quota system: when you reach the limit, Google automatically reverts to the standard (less powerful) version.
For those who need continued professional use, unlimited access is available on Google One subscription plans. The most affordable option is the new plan Google AI Plus, which costs R$24.99/month (with launch promotion at R$12.50 for the first 6 months) and includes 200GB of storage. Now the plan Google AI Premiumwhich offers 2TB and full integration with Workspace, comes out R$96.99/month. Developers and businesses can also access the API through Google AI Studio and Vertex AI.
Source: https://www.hardware.com.br/artigos/google-nano-banana-pro-exemplos-ia/
