Build with Nano Banana 2, our best image generation and editing model
Key Points
- Higher-fidelity image generation
- Advanced in-image text rendering & localization
- Lower-latency 512px tier for rapid edits
Summary
Nano Banana 2 (Gemini 3.1 Flash Image) is a production-ready image generation and editing model that delivers higher visual fidelity, faster editing, and improved world knowledge. It supports advanced in-image text rendering and localization, new resolution and aspect-ratio options for lower latency workflows, stronger instruction following, and configurable "thinking" levels to trade off speed vs. reasoning. The model is available now via the Gemini API in Google AI Studio (paid API key required), and for enterprise deployment on Vertex AI; it’s also integrated with Google Antigravity and Firebase.
Key Points
- Model: Nano Banana 2 (Gemini 3.1 Flash Image) — higher fidelity, faster edits, better world grounding via web image search.
- Text and localization: improved in-image text rendering and multi-language translation baked into image outputs.
- Creative controls: native support for more aspect ratios (including 4:1, 1:4, 8:1, 1:8), new 512px resolution tier (plus 1K/2K/4K), vibrant lighting, richer textures, and sharper details.
- Instruction following: better adherence to complex, multi-layered prompts; configurable thinking levels (Minimal default, High/Dynamic) to allow deeper reasoning before rendering.
- Performance/ops: optimized price-performance for scale; 512px reduces latency for rapid iterations and heavy pipelines.
- Production integrations: available via Gemini API in Google AI Studio (paid key), enterprise on Vertex AI, and supported in Antigravity and Firebase.
- Example apps: "Window Seat" (web-image-grounded views), "Global Ad Localizer" (in-image translation + localization), "Pet Passport" (consistent multi-scene character rendering).
Getting started (practical for engineers)
- Obtain a paid API key and call Nano Banana 2 via the Gemini API in Google AI Studio or deploy on Vertex AI for enterprise use.
- Choose resolution based on iteration speed vs. quality: use 512px for low-latency loops, 1K/2K/4K for high-detail outputs.
- Use configurable thinking levels when prompts require multi-step reasoning or strict adherence to layout/text constraints.
- Consult the Gemini API developer docs, AI Studio app gallery, and the cookbook for example prompts, aspect-ratio options, and integration patterns.
Notes
- Generative features are experimental; validate outputs for localization, brand safety, and data compliance in your pipeline.