Nano Banana 2
Overview
Nano Banana 2 (Gemini 3.1 Flash Image) is a high-speed image generation and editing model developed by Google. Built for rapid iteration, it delivers the advanced reasoning and real-world knowledge of Nano Banana Pro at significantly faster speeds. The model is especially well-suited for producing 4K-resolution assets, rendering accurate text for infographics and marketing mockups, and maintaining precise subject consistency across complex edits.
Best of Nano Banana 2
What is Nano Banana 2 best used for?
Nano Banana 2 is built for generating legible text, infographics, and diagrams. Because it connects to Google's real-world knowledge base, it can accurately render specific subjects and turn notes into structured visuals. The community frequently uses it for multi-image composition, such as style transfers, storyboarding, and maintaining character consistency across different scenes. It also supports video files as input prompts to analyze visual context and generate related images like thumbnails.
What is the lineage of Nano Banana 2?
Google announced Nano Banana 2 (officially known as Gemini 3.1 Flash Image) on February 26, 2026. It is the direct successor to the original Nano Banana, which was based on the Gemini 2.5 Flash architecture. This update brings the reasoning and text-rendering capabilities of the larger Nano Banana Pro into a faster model designed for high-volume, low-latency tasks.
How can I get the best results with Nano Banana 2?
Take advantage of the model's multimodality by uploading multiple reference images for style transfers or character consistency. You can also use video files as input prompts, allowing the model to analyze the footage and generate context-aware images. For text prompts, Google recommends specifying the characters, setting, and overall mood. You can find more techniques in Google's official prompting guide.
Similar models
Prompt tips
Supply raw data for infographics: Paste your raw notes or statistics directly into the prompt and ask the model to convert them into a structured flat-lay infographic or diagram.
Force aspect ratios with follow-ups: If the model ignores your initial aspect ratio request, use a follow-up prompt in the same session to remind it of a specific supported ratio (e.g., '16:9').
Request in-image translations: Leverage its multilingual text capabilities by explicitly asking the model to localize signage or text elements (e.g., 'translate the storefront sign to Japanese').
Generate video base layers: Create your initial text-accurate, widescreen (16:9) assets here, then export them to animate with Veo 3.1.



