Google launches Nano Banana 2, combining Pro-level quality with lightning-fast AI image generation

Reviewed byNidhi Govil

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Google unveiled Nano Banana 2, its latest AI image generation model that merges the quality of Nano Banana Pro with rapid processing speeds. The update, powered by Gemini 3.1 Flash Image, becomes the default across Gemini app, Google Search, and Flow, offering 4K resolution capabilities and enhanced character consistency for up to five characters.

Google Unveils Nano Banana 2 with Pro-Level Capabilities at Flash Speed

Google has released Nano Banana 2, its latest advancement in AI image generation that promises to deliver professional-grade results with unprecedented speed. The new model, technically known as Gemini 3.1 Flash Image, combines the sophisticated capabilities of Nano Banana Pro with the rapid processing of the Flash variant, addressing a key demand from users who want both quality and efficiency

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. The launch marks another milestone in Google's aggressive AI push, which has helped the company capture more than 750 million monthly active users for the Gemini app by the end of December and fueled a 47% surge in its stock over the past six months

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Source: Beebom

Source: Beebom

The original Nano Banana, released in August 2025, became a viral sensation that attracted 13 million first-time users to the Gemini app in just four days in September, generating more than 5 billion images by mid-October

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. This rapid adoption, particularly strong in countries like India, prompted Google to release Nano Banana Pro in November with enhanced detail and quality capabilities

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Enhanced World Knowledge and Advanced Rendering Capabilities

Nano Banana 2 leverages enhanced world knowledge pulled from the Internet by the Gemini 3.1 LLM, providing the model with critical information to render objects with greater fidelity and create more accurate infographics

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. This capability, previously restricted to Nano Banana Pro, means AI-generated images should be more rooted in reality and less prone to hallucinations

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The model can generate images with resolutions ranging from 512px to 4K across different aspect ratios, delivering vibrant lighting, richer textures, and sharper detail

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. Text accuracy in image outputs has reached Pro-like levels, addressing the longstanding challenge of readable text in AI-generated images, which proves particularly valuable for creating marketing materials and greeting cards

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Improved Character Consistency and Complex Request Handling

One of Nano Banana 2's standout features is improved character consistency for up to five characters and fidelity of up to 14 objects in one workflow, enabling better storytelling capabilities for creators developing storyboards or visual narratives

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. The model can follow precise instructions for complex requests with detailed nuances, allowing users to issue sophisticated prompts and receive rapid iterations

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Source: Mashable

Source: Mashable

Widespread Deployment Across Google Ecosystem

Nano Banana 2 becomes the default model for image generation across all modes in the Gemini app—Fast, Thinking, and Pro—replacing the original Nano Banana

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. Google is also deploying it as the default in Flow, its AI-powered video editing tool, and across Google Search via Google Lens and AI Mode in 141 countries on both the Google app and web platforms

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Subscribers to Google AI Pro and Ultra plans can still access Nano Banana Pro for specialized tasks by regenerating images through the three-dot menu

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. For developers, the model is available in preview through the Gemini API, Gemini CLI, Vertex API, AI Studio, and Antigravity, Google's development tool released in November

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Source: Ars Technica

Source: Ars Technica

Addressing AI-Generated Content Concerns with SynthID Watermark

All images created through Nano Banana 2 will include a SynthID watermark, Google's invisible marker to denote AI-generated images

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. The images are also compatible with C2PA Content Credentials, an industry standard developed by Adobe, Microsoft, Google, OpenAI, and Meta

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. Since launching SynthID verification in the Gemini app in November, users have employed it over 20 million times

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These safeguards address growing concerns about photorealistic AI-generated content flooding online ecosystems. A CNET survey found that while the vast majority of social media users believe they encounter AI-generated posts, less than 44% feel confident they can identify them

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. The release comes as Google continues to compete aggressively with OpenAI, whose internal teams reportedly issued a "code red" in November following the success of Gemini 3

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