Build with Nano Banana Pro, our Gemini 3 Pro Image model

Source: DeepMind Date: 2025-11-20 URL: https://deepmind.google/blog/build-with-nano-banana-pro-our-gemini-3-pro-image-model/

Summary

Google released Gemini 3 Pro Image (internally “Nano Banana Pro”) — a 2K/4K image generation and editing model with state-of-the-art text rendering, Google Search grounding for factual imagery, character consistency across up to five individuals, and localization that translates text while preserving artistic style. Available in paid preview via Gemini API, AI Studio, and Vertex AI; all outputs carry SynthID watermarks.

Implications

Text rendering as the enterprise wedge. SOTA text rendering in generated images directly targets the marketing, infographic, and product mockup workflows that currently require Photoshop or Canva plus manual text placement. If Nano Banana Pro can generate readable, accurate text in-image reliably, that’s a genuine workflow replacement, not just an assist.

Search grounding in image generation is novel. Connecting image generation to Google Search for factual accuracy is unique to Google’s product position — no other image generation provider has an equivalent knowledge graph. For product marketing and educational content where visual accuracy matters, that grounding is a real differentiator.

Five-person character consistency unlocks commercial use cases. Maintaining resemblance across five individuals is the threshold for team portraits, family product marketing, and recurring character-based content. That’s not a research demo — it’s a feature for commercial content pipelines.

Watch:

• Progression from paid preview to GA — the preview gate signals Vertex AI enterprise validation is still in progress
• Whether character consistency holds in adversarial prompting scenarios (a known safety surface for identity-preserving models)
• Imagen 4 vs. Nano Banana Pro positioning — Google has two named image models; understand their differentiation