Master AI Image Prompt Engineering: Professional Visuals & Moodboards with Nano Banana

This article provides sample prompts based on the core professional use cases of Nano Banana (Google’s Gemini 2.5 Flash Image Engine). Use these to immediately apply your learning and elevate your creative output!

For Conceptualising & Strategy Visualisation

Goal: Transform abstract concepts, strategies, and feelings into polished, presentation-ready visuals.

Use Case	Sample Prompt for Nano Banana
Strategy Visualisation	"Create a photorealistic image representing a 'Future of Sustainable Urban Mobility' strategy. The visual should feature high-speed rail, drone delivery, and vertical gardens, rendered in the style of a Wired magazine cover."
Corporate Moodboard	"Generate a corporate moodboard image for a new luxury wellness brand pitch. The overall mood should be 'Serene, Minimalist, and Aspirational,' utilising a muted palette of creams, slate gray, and deep forest greens."
Data & Financial Visual	"Design a high-impact, abstract visual for a Q3 financial review presentation slide. Visualise growth using dynamic, upward-trending, gold-colored geometric lines against a deep navy background. Make it look like a 4K digital abstract painting."
Conceptual Art	"Generate a visual metaphor for 'Disruptive Innovation' - a single, perfectly smooth river stone shattering a pane of tempered glass, captured in high-speed, dramatic black and white photography."

For Image Refinement & Virtual Photoshoots

Goal: Instantly transform simple images into professional studio shots by modifying background, lighting, and style via simple text commands.

Use Case	Sample Prompt for Nano Banana
Product Studio Refinement	"Using this simple product photo, render it as a professional studio shot. Place the object on a highly reflective, matte black pedestal with soft, diffused top lighting and a subtly graduated, smoky gray background."
Background Swap	"Using this original headshot, change the background to a minimalist, modern, light-filled office space with large windows overlooking a cityscape. Maintain the subject's original pose and expression."
Lighting & Style Change	"Re-render this architectural site photo into a photorealistic architectural rendering with a Mediterranean villa aesthetic. Apply 'golden hour' lighting and introduce lush, native landscaping."
App/UI Mockup	"Take this screenshot of our new app and place it realistically on a high-end, contemporary desktop monitor in a well-organised, clean desk setting. Add depth-of-field blur to the background."

Tips for Pro-Level Prompts & Creative Control

1. Be Specific, Not Generic: 

   Instead of "A car," try "A vintage 1957 teal Ford Thunderbird, parked on a wet cobblestone street, shot from a low angle."

2. Define the Visual Medium: 

   Choose the output format or rendering style (e.g., Oil Painting, 3D Render, Line Art, Photorealistic, Hyper-detailed 4K digital art).

3. Define the Visual Feeling:

   Set the scene by controlling the mood, atmosphere, and narrative of the visual output.

   • Example prompt: "Illustrate a team meeting in a dimly lit, cozy 'innovation cave.' The mood should feel secretive and highly focused. Style: cinematic and dramatic."

4. Use Technical Photography Terms: 

   Incorporate terms like shallow depth of field, golden hour, bokeh, macro, cinematic lighting to refine the visual quality.

   • Example prompt: "Render a macro shot of a single drop of liquid on a smooth, hydrophobic leaf surface. Use an 80mm lens equivalent with a very shallow f/1.4 depth of field.

5. Embrace Constraints: 

   If the first output is too busy, use refinement prompts to narrow it down (e.g., "Keep the concept, but remove all human figures," or "Change the background color to be strictly white").

   • Example prompt: [After a first output]: "Now, take the previous image, but change the color palette to be strictly monochromatic cyan and black and make the texture look like coarse newsprint."

For more guidelines on image generation with Nano Banana, visit 🍌 Google’s Gemini API docs.

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Published on: 28 October 2025

Written by:  CHANG Yin Jue

© 2025 Centre of Applied Metacognition (CAM)