Developer Guide: Nano Banana 2 with the Gemini Interactions API

2026-03-16 · Source: philschmid.de - RSS feed · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, short

Summary

Google has released Nano Banana 2 (`gemini-3.1-flash-image-preview`), an advanced image generation model operating at Gemini Flash speed. This model integrates Nano Banana Pro's world knowledge, precise text rendering, and subject consistency across up to 14 reference images. A key new feature is "Grounding with Google Image Search," allowing the model to retrieve and utilize real web images as visual context during generation. A developer guide demonstrates using the Interactions API to create a personalized Japan travel brochure, progressing from simple text-to-image generation to search-grounded, personalized images that composite a real person into photorealistic scenes of Kyoto, informed by live Google Search results. The guide provides four code snippets illustrating pure creative generation, web search grounding, web and image search grounding, and finally, incorporating a reference photo for subject-consistent personalization.

Key takeaway

For AI Engineers developing advanced image generation applications, Nano Banana 2's new grounding capabilities with Google Image Search and subject consistency are crucial. You should explore integrating the `gemini-3.1-flash-image-preview` model via the Interactions API to create highly accurate, personalized, and contextually rich visual content. This enables generating photorealistic scenes with factual and visual fidelity, significantly enhancing creative and commercial applications.

Key insights

Nano Banana 2 enhances image generation with real-world grounding via Google Search and subject consistency from reference images.

Principles

• Grounding improves factual and visual accuracy.
• Reference images enable subject consistency.
• Iterative refinement enhances image generation.

Method

Utilize the Interactions API with `gemini-3.1-flash-image-preview` and configure `google_search` tools with `web_search` and `image_search` types to ground image generation with real-world data and visual references.

In practice

• Use `image_search` for visual accuracy.
• Provide clear headshots for subject consistency.
• Combine text, image, and search for complex scenes.

Topics

• Nano Banana 2
• Image Generation
• Google Search Grounding
• Gemini Interactions API
• Subject Consistency

Best for: AI Engineer, Machine Learning Engineer, Prompt Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by philschmid.de - RSS feed.