Google launches ‘Nano Banana 2’ AI Image Suite in Nigeria

Google, on Thursday, has officially launched its latest artificial intelligence image generation model, Nano Banana 2, in Nigeria.

‎The new suite will be integrated directly into the Google app, Search (AI Mode), and Google Lens, to provide professional creative tools to millions of mobile and desktop users across Nigeria.

‎Google developed Nano Banana 2, which is technically known as Gemini 3.1 Flash Image, after examining its success of the original Nano Banana model in mid-2025, in order to bridge the gap between high-speed performance and high-fidelity output.

‎This rollout is aimed at supporting the creator economy by making sophisticated design tools accessible without the need for specialized hardware or technical expertise.

‎Nano Banana 2 uses real-time web search and the Google Images library to ensure that generated landmarks, brands, and objects maintain factual integrity.

‎The model allows creators to maintain the same facial features and clothing for a protagonist across multiple different prompts, thereby facilitating long-form storytelling and storyboarding.

‎To mitigate the risk of deepfakes and misinformation, every image contains SynthID, which is an invisible digital watermark and C2PA metadata for clear identification of AI-generated content.

‎Google executives argue that integrating these tools into the everyday Google app, small business owners and students can produce high-quality marketing assets and educational materials at zero cost, thereby fostering economic growth in the digital sector.

‎Taiwo Kola-Ogunlade, Google’s Communications and PR Manager for West Africa, added;

“We want to make sure the best technology is accessible to everyone. Nigerians are some of the most creative people in the world, and today we’re expanding these tools to give them a new way to express that”

‎The service is currently live for all Nigerian users via the Google App and mobile browsers.

Google also stated that the next phase of development will focus on expanding in-image localization, allowing the AI to seamlessly translate and render text within graphics across several more African languages.



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