Tools: Nano Banana 2: Google's Latest AI Image Generation Model 2026
Our latest image generation model offers advanced world knowledge, production-ready specs, subject consistency and more, all at Flash speed.
Google DeepMind is launching Nano Banana 2, a new image model that combines the advanced features of Nano Banana Pro with the speed of Gemini Flash. You can now access high-quality image generation with faster editing and iteration across Google products like the Gemini app and Google Search. Also, Google continues to improve its SynthID technology with C2PA Content Credentials to identify AI-generated content.
Google has a new AI image model called Nano Banana 2. It's super fast and combines the best parts of their other image models. You can now make images quicker with better quality and more control. It's available in Google apps like Gemini and even for creating ads.
In August of last year, our Gemini Image model, Nano Banana, became a viral sensation, redefining image generation and editing. Then in November, we released Nano Banana Pro, offering users advanced intelligence and studio-quality creative control. Today, we’re bringing the best of both worlds to users across Google.
Introducing Nano Banana 2 (Gemini 3.1 Flash Image), our latest state-of-the-art image model. Now you can get the advanced world knowledge, quality and reasoning you love in Nano Banana Pro, at lightning-fast speed.
Nano Banana 2 brings the high-speed intelligence of Gemini Flash to visual generation, making rapid edits and iteration possible. It makes once-exclusive Pro features accessible to a wider audience, including:
Read the prompts: Water Cycle
1
, Cloud Infographic
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, Cubism
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, Wildlife Sign
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Nano Banana 2 also dramatically closes the gap between speed and visual fidelity, delivering high-quality, photorealistic imagery. Here’s what our newest model offers and has improved on from the original Nano Banana:
Highly stylized pop-art fashion portrait in different aspect ratios
Read the prompts: Farm
5
, Treehouse
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, Valley
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, Portrait
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Source: HackerNews
