Felix Pinkston
Jan 20, 2026 06:51
Leonardo.Ai releases detailed prompting workflows for Google’s Nano Banana AI fashions, masking picture enhancing, character consistency, and 4K manufacturing methods.
Leonardo.Ai has printed an in depth information breaking down prompting methods for Google’s Nano Banana fashions, the AI picture era instruments that went viral after their inner codename caught. The information distinguishes between the usual Nano Banana (Gemini 2.5 Flash) and Nano Banana Professional (Gemini 3 Professional), every requiring essentially completely different approaches.
The timing issues for creators. Because the identify “Nano Banana” formally changed Gemini 2.5 Flash Picture earlier this month—reportedly derived from a Google product supervisor’s nickname combos—adoption has accelerated. Leonardo.Ai’s platform now lets customers toggle between each variants alongside opponents like GPT Picture 1.5 and Flux 2 Professional.
Two Fashions, Two Mindsets
Normal Nano Banana excels at fast edits and elegance transfers by way of pattern-matching. Consider it as a pixel-level predictor—you feed it a picture, describe modifications, and it calculates how pixels ought to shift. The Professional model operates in a different way, utilizing what Leonardo.Ai calls a “Deep Suppose” reasoning engine that plans scene logic earlier than producing something.
For the usual mannequin, conversational prompts work greatest. Object elimination requires specificity: “Utilizing this picture, take away the stone bust from the foreground. Maintain all the pieces else precisely the identical.” Obscure directions trigger the mannequin to guess, usually altering components you needed preserved.
Type transfers comply with the same template. You describe the goal aesthetic explicitly—”modern, minimalist futurism with clean white polymer and chrome”—whereas anchoring composition to the unique. The mannequin repaints somewhat than reconstructs.
Character Consistency By Reference Sheets
Sustaining the identical character throughout a number of photographs stays notoriously troublesome with generative AI. Leonardo.Ai’s resolution bypasses the standard “anchor string” strategy (describing options repeatedly) in favor of 360-degree character sheets.
The workflow: generate 2-3 photographs displaying your topic from a number of angles—left profile, proper profile, again view—inside a single session. These change into reference materials for subsequent prompts. When inserting that character in new scenes, you level the mannequin again to the sheet somewhat than counting on textual content descriptions alone.
Professional Mannequin for Typography and Information
Nano Banana Professional handles duties the place the usual model fails. Textual content rendering throughout a number of languages, infographic layouts, and information visualization all profit from its reasoning structure.
For typography, double citation marks sign literal textual content rendering. Maintain phrases brief—success charges drop with longer strings. The mannequin additionally integrates reside Google Search outcomes, grounding generations in real-world information for maps, climate overlays, or verified historic particulars.
Native 4K output makes Professional the selection for manufacturing work the place micro-textures matter. Brushed metal, cloth weaves, intricate mechanical elements—these demand decision that normal fashions cannot ship.
Leonardo.Ai customers can choose decision straight from the interface somewhat than specifying it in prompts, streamlining the workflow for industrial functions.
Picture supply: Shutterstock