How to Prompt Nano Banana Pro (replicate.com)

Google’s Nano Banana Pro, released this week and integrated with the Gemini 3 Pro stack, is a step-change image model that combines strong generative creativity with surprisingly robust reasoning and text fidelity. Users are showing it can do more than style transfer and photorealism: baked-in intermediary prompting layers let the model interpret and act on textual content from input images (e.g., solving homework with shown work), reproduce long passages verbatim in designed layouts, and render code accurately. It also sustains character consistency across up to 14 reference images, supports complex multi-object collages (users have pushed to ~25 items), and produces high-quality infographics, whiteboards, mockups and editorial designs. Technically, Nano Banana Pro’s strengths come from its tight coupling with a language-capable backbone (Gemini 3 Pro) and internal reasoning layers that bridge visual input to structured outputs, improving text adherence and code interpretability versus prior SOTA image models. It isn’t a live internet agent — realtime facts require tool integrations or search — but its embedded world knowledge enables impressive landmark and contextual inferences. The model is already available via Replicate APIs, making it easy to prototype applications for education, design, storyboarding and virtual try-on, while raising downstream considerations around content provenance and misuse given its high-fidelity text and character synthesis.