Nano Banana Pro: Gemini 3 Pro Image for Text-Accurate, Studio-Grade Visuals

Overview

Nano Banana Pro, also known as Gemini 3 Pro Image, is Google DeepMind's latest image generation and editing model built on Gemini 3 Pro. It is designed not only to produce stylistically rich images but to respect structure, real world knowledge and text layout, making it suitable for information-dense visuals and production workflows.

Evolution from Nano Banana

The original Nano Banana was based on Gemini 2.5 Flash Image and focused on fast, casual edits like photo restoration and generating stylized figurines from simple prompts. Nano Banana Pro preserves that quick editing flow but leverages Gemini 3 Pro's stronger reasoning and knowledge capabilities to handle more demanding tasks.

Reasoning and Search Grounding

A core design goal for Nano Banana Pro is reasoning-guided generation. The model can ingest text, structured content and references, plan the image as an explanation of that content, and produce visuals that reflect underlying data rather than only decorative imagery. It can also connect to Google Search and use the index as a real time knowledge source to ground visuals in factual information.

Improved Text Handling and Multilingual Layouts

One long-standing weakness of many image generators is rendering clear, legible text inside images. Nano Banana Pro explicitly addresses this problem and is presented as the best model in the Gemini family for producing correctly rendered text, from short taglines to full paragraphs. Gemini 3 Pro's multilingual reasoning enables the model to render and translate text in multiple languages while preserving visual design and layout, for example translating English labels on a can into Korean without disturbing composition.

Studio Controls, Consistency and Upscaling

Nano Banana Pro exposes controls aimed at design and production workflows rather than single-shot art prompts. It accepts up to 14 input images and can maintain resemblance for up to 5 people within one workflow, enabling tasks like combining reference photos into a fashion editorial or keeping a cast consistent across scenes.

The model supports studio-style adjustments for camera angle and shot type, depth of field, and selective focus. Color and lighting controls let users change day to night, swap volumetric lighting for bokeh, or apply dramatic chiaroscuro while keeping subject identity intact. Explicit upscaling is supported, with examples of crisp output at 1k, 2k and 4k resolutions and progressive zoom operations that preserve detail and composition. Aspect ratio conversion is programmable, allowing transitions between 1:1, 4:3, 16:9 and cinematic formats while keeping the main subject locked in place.

Deployment, Provenance and Use Cases

Google is rolling Nano Banana Pro across multiple surfaces, including the Gemini app, AI Mode in Search, NotebookLM, Google Ads, Workspace apps, Gemini API, Google AI Studio, Vertex AI, Antigravity and Flow. All outputs are watermarked with SynthID plus tier-specific visible watermarks as provenance signals.

Use cases highlighted by the model include converting prototypes, data tables and handwritten notes into accurate diagrams and infographics, producing localized packaging and poster art with translated text, and supporting production-level image creation for developers and enterprises.

Key points

• Nano Banana Pro is Gemini 3 Pro Image, an upgraded image generation and editing model optimized for higher fidelity, control and text accuracy.
• The model integrates Gemini 3 Pro reasoning and Google Search grounding to turn factual content and documents into information-rich visuals.
• It offers strong text rendering and multilingual support while preserving layout and design.
• Studio controls allow multi-image composition, subject consistency, camera and lighting adjustments, aspect ratio conversion and upscaling to 1k, 2k and 4k.
• Outputs are distributed broadly across Google platforms and include provenance watermarks.

If you want technical references or tutorials, check the official technical details and related resources on GitHub and Google AI channels.