Google Nano Banana Pro: 7 tips to get best results with Google's latest image generation model
Google’s updated Nano Banana Pro image model promises improved text rendering, better world knowledge and advanced creative control. These seven techniques help users craft more effective prompts and get consistent visual outputs.
Establish a clear vision Prompts work better when they include essential elements such as the subject, composition, action, location and style. Defining these upfront helps direct the model more precisely, whether the request is for a character portrait, product render or conceptual illustration.
Use advanced framing and lighting details Specifying camera angles, depth of field, lighting conditions or aspect ratio improves output quality. Inputs like “9:16 vertical poster,” “low-angle shot,” or “golden hour backlighting” guide the model toward more deliberate, cinematic visuals.
Integrate text accurately Nano Banana Pro supports sharper text generation across multiple languages. Users should clearly mention the exact wording, font treatment and placement to create posters, diagrams or branded graphics with better legibility.
Apply real-world knowledge Because the model builds on Gemini 3 Pro’s reasoning abilities, it can generate results that reflect real-world context. This benefits tasks such as infographics, product mockups, scientific diagrams or culturally specific designs that require factual alignment.
Translate and localize visuals The model can translate text within images or recreate designs for different regions. This helps businesses preview packaging, ads or content in multiple languages while maintaining layout and style.
Blend multiple images reliably Users can combine 6 to 14 images depending on the platform to produce consistent character groups, mixed-style composites or multi-asset scenes. Clearly stating what each input image represents improves continuity across the final output.
Maintain consistent brand aesthetics Nano Banana Pro can drape logos, patterns or artwork onto surfaces while preserving lighting and texture. This enables teams to generate packaging previews, apparel mockups or visual identity concepts with uniform brand styling. Google notes that while capabilities have improved, limitations remain in small-text fidelity, factual precision and complex edits. The company says enhancements will continue as it refines future versions of the model.
