Google Introduces Nano Banana Pro with Grounded, Multimodal Image Synthesis

"The system moves beyond conventional diffusion workflows by tightly coupling image generation with Gemini's multimodal reasoning stack. The result: visuals that are not only aesthetically pleasing, but structurally, contextually, and informationally accurate. The biggest shift is Nano Banana Pro's ability to ground images in real-world knowledge. Leveraging Search grounding and Gemini's expanded reasoning engine, the model can turn structured content (notes, tables, instructions, and real-time data) into diagrams, infographics, and domain-specific visuals that correctly reflect the underlying information."

"Another major advance is robust, multilingual text rendering. Rather than treating text as a texture, Nano Banana Pro encodes typography through Gemini's multilingual embeddings, producing images with crisp, consistent, and accurate text-including longer passages and stylized fonts. For production work, the upgraded consistency engine is a standout. The model can merge up to 14 reference images in one composition while maintaining identity coherence for up to 5 people across angles, lighting conditions, and scales."

Nano Banana Pro combines image generation with Gemini's multimodal reasoning and Search grounding to produce visuals that are aesthetically pleasing and informationally accurate. The model converts structured inputs—notes, tables, instructions, and real-time data—into diagrams, infographics, and domain-specific visuals that reflect underlying facts. Multilingual typography is encoded via Gemini embeddings, enabling crisp, consistent, and accurate text rendering including long passages and stylized fonts. The consistency engine merges up to 14 reference images and preserves identity coherence for up to five people across angles, lighting, and scales. These capabilities improve workflows like packaging mockups, UI previews, poster layouts, localized campaigns, and continuity-heavy production.

Read at InfoQ