Nano Banana Pro: Prompt Guide & Best Practices

Nano Banana Pro is Google DeepMind’s image generation model built on Gemini 3 Pro. Unlike traditional tag-based prompts, Nano Banana Pro understands full natural language descriptions, spatial relationships, and creative intent.

Five Generation Modes

Mode	Use Case
Image Generation	Text-to-image, image-to-image
Photo Editing	Image editing and reconstruction
YouTube Thumbnails	Thumbnails with embedded text
Infographics	Data visualization and charts
Storyboards	Multi-shot storyboards

Prompting Tips

1. Use Complete Sentences

❌ cat, hat, red, sitting
✅ A fluffy orange cat wearing a small red hat, sitting on a wooden chair

Nano Banana Pro’s processing engine parses sentence intent and context rather than matching tags.

2. Specify Text Rendering

Nano Banana Pro excels at text rendering. To include text in your image:

Create a social media banner with the text "Summer Sale 2026" in bold
white font, centered, with a gradient orange-to-pink background

3. Control Spatial Layout

Leverage the model’s spatial understanding by describing precise layouts:

An infographic showing three columns: left column has tips about
productivity, middle column has a timeline, right column has key metrics.
Use blue and green color scheme.

Parameter Configuration

Key parameters when calling via the Gemini API:

• model: gemini-3-pro-image-preview
• Reasoning budget: Standard / Thinking
• Resolution: 0.5K ~ 4K
• Character consistency: up to 5 characters

Summary

Nano Banana Pro represents a major shift from “tag matching” to “intent understanding” in image generation. The key is describing the scene you want, not listing visual elements.