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Nano Banana 2

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nano-banana-2

Nano Banana 2 (Gemini 3.1 Flash Image) excels at covers, posters, illustrations and product shots. Supports text-to-image and image-to-image, 1K / 2K / 4K resolutions and multiple aspect ratios; fast and cost-efficient, through the OpenAI-compatible images API.

Text-to-imageImage-to-image1K/2K/4KFast generation

Live Test · Playground

Try out Nano Banana 2 right here (available after login).

Model Type

Input

Image

Output

image
Results will appear here after running.
🕑 Generated images and videos are kept for 15 days before 2026-10-29 09:49:40 UTC; from that time, they are kept for 7 days and existing files older than 7 days are removed.

About Nano Banana 2

Nano Banana 2 is Google's new-generation Flash-tier image model (Gemini 3.1 Flash Image), built for fast, cost-effective generation of covers, posters, illustrations and product shots. On NezhaGate it is served through the OpenAI images API: point base_url at NezhaGate and set model to nano-banana-2 to generate with your existing SDK. It supports 1K / 2K / 4K resolutions and multiple aspect ratios, billed per use, and failed requests are not charged.

Use cases

Social & blog covers

Turn a one-line brief into consistent covers, social images and event posters, with fast generation and low iteration cost.

E-commerce product & posters

Generate clean-background product shots, promo posters and infographics in multiple aspect ratios for different placements.

Illustration & asset batches

Produce illustrations, icons and background assets in bulk, using fast generation to support high-volume creative needs.

How to choose

Choose Nano Banana 2 for speed and value on medium-complexity covers, posters and illustrations; choose Nano Banana Pro when you need stronger detail, in-image text layout and complex scenes.

FAQ

Does Nano Banana 2 support image-to-image?
Yes. Both text-to-image and image-to-image are available; switch between them with Model Type at the top of the model page. Put the reference in the image parameter, or call the OpenAI-compatible /v1/images/edits endpoint.
Which resolutions and ratios are supported?
It supports 1K / 2K / 4K resolutions and ratios such as 1:1, 16:9 and 9:16, selectable via the size parameter in your request.
How do I call it with the OpenAI SDK?
Point base_url at NezhaGate, set model to nano-banana-2 and call the images/generations endpoint; it returns a standard OpenAI image response.

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