Nano Banana Professional, additionally referred to as Gemini 3 Professional Picture, is Google DeepMind’s new picture technology and modifying mannequin constructed on Gemini 3 Professional. It’s positioned as a cutting-edge system for creating and modifying photos that should respect construction, world data and textual content format, not solely model. Nano Banana Professional follows Nano Banana, which was primarily based on Gemini 2.5 Flash Picture and centered on quick, informal picture modifying similar to restoring photographs and producing collectible figurines.
From Gemini 2.5 Flash Picture to Gemini 3 Professional Picture
The sooner Nano Banana mannequin focused fast inventive edits for informal creators. It helped restore previous photographs and construct stylized 3D mini collectible figurines with a easy immediate. Nano Banana Professional retains that modifying movement however runs on prime of Gemini 3 Professional, which brings stronger reasoning and actual world data into the picture stack.
The mannequin can flip prototypes, information tables and handwritten notes into diagrams and infographics that mirror the underlying info, quite than producing solely ornamental artwork.
Reasoning Guided, Search Grounded Visuals
A core design level for Nano Banana Professional is reasoning guided technology. Utilizing Gemini 3 Professional, the mannequin can devour textual content, structured content material and references after which plan the picture as a proof of that content material. Nano Banana Professional can even connect with Google Search, utilizing the search index as an actual time data supply.
Clear Textual content and Multilingual Layouts
Textual content inside photos is a protracted standing failure mode for a lot of diffusion primarily based mills. Nano Banana Professional addresses this explicitly. Google states that it’s the finest mannequin within the Gemini household for producing photos with accurately rendered and legible textual content, for each brief taglines and full paragraphs.
Gemini 3 Professional’s multilingual reasoning flows into the picture mannequin. Nano Banana Professional can render textual content in a number of languages and likewise translate textual content that already seems in merchandise or posters. The documentation exhibits beverage cans the place English textual content is translated into Korean whereas the visible design and format keep unchanged.
Studio Degree Management, Consistency and Upscaling
Nano Banana Professional exposes a set of controls aimed toward design and manufacturing workflows quite than single shot artwork prompts. On the composition facet, the mannequin can use as much as 14 enter photos and keep the consistency and resemblance of as much as 5 individuals in a single workflow. This helps duties similar to combining reference photographs right into a single style editorial, remodeling sketches into product photographs or conserving the identical solid throughout a number of scenes.
The studio management part of the mannequin web page lists a number of households of controls. Customers can differ digital camera angle and shot kind, together with large shot, panoramic and shut up, whereas controlling depth of subject and concentrate on particular topics within the picture. Shade and lighting might be adjusted, for instance altering day to nighttime, changing volumetric lighting with bokeh or making use of a powerful chiaroscuro impact with out shedding topic id.
Nano Banana Professional helps specific upscaling. The official Google weblog states that it could possibly generate crisp visuals at 1k, 2k or 4k decision, and offers examples of progressive zoom in operations that hold element and composition. Side ratio can also be programmable. Prompts can convert between ratios similar to 1:1, 4:3, 16:9 and cinematic codecs whereas conserving the primary character locked in place and adjusting solely the background.
Key Takeaways
- Nano Banana Professional is Gemini 3 Professional Picture, an upgraded picture technology and modifying mannequin that succeeds Nano Banana, which was primarily based on Gemini 2.5 Flash Picture, and is optimized for larger high quality and management.
- The mannequin integrates Gemini 3 Professional reasoning and Google Search grounding so it could possibly flip factual content material, paperwork and actual time information into infographics, recipes, course of diagrams and different info dense visuals.
- It offers sturdy textual content rendering and multilingual help, producing legible typography in photos and enabling translation or localization of present on picture textual content whereas preserving format and design.
- Nano Banana Professional helps as much as 14 enter photos and maintains resemblance for as much as 5 individuals, with studio model controls for digital camera angle, depth of subject, lighting, facet ratios and upscaling to 1k, 2k and 4k resolutions.
- The mannequin is being deployed throughout Gemini app, AI Mode in Search, NotebookLM, Google Advertisements, Workspace apps, Gemini API, Google AI Studio, Vertex AI, Antigravity and Move, with all outputs watermarked utilizing SynthID plus tier particular seen watermarks.
Nano Banana Professional positions Gemini 3 Professional Picture as a manufacturing oriented picture system that hyperlinks Gemini 3 Professional reasoning, Google Search grounding and structured controls for format, textual content and upscaling. It straight addresses lengthy standing points in textual content rendering, multilingual localization and topic consistency, whereas conserving SynthID and visual watermarks as default provenance indicators throughout tiers and surfaces. This launch strikes Google’s picture stack nearer to an built-in, API first visible platform for builders and enterprises.
Take a look at the Technical particulars. Be happy to take a look at our GitHub Web page for Tutorials, Codes and Notebooks. Additionally, be happy to comply with us on Twitter and don’t overlook to affix our 100k+ ML SubReddit and Subscribe to our E-newsletter. Wait! are you on telegram? now you’ll be able to be part of us on telegram as properly.
Michal Sutter is an information science skilled with a Grasp of Science in Information Science from the College of Padova. With a stable basis in statistical evaluation, machine studying, and information engineering, Michal excels at remodeling advanced datasets into actionable insights.