15 Nano Banana Image Editing Examples & Prompts

Bilal Mansouri
5 min read
Cartoon yellow banana character with glasses editing digital images on a computer, surrounded by floating photo frames with AI sparkle effects, modern tech illustration style

Google’s Gemini 2.5 Flash Image model, known by its viral codename Nano Banana, has disrupted the AI image editing landscape by achieving unprecedented character consistency and contextual understanding.

This advanced model can seamlessly merge multiple images, maintain facial identity across transformations, and understand complex spatial relationships that have challenged other AI editors.

Key Capabilities That Set Nano Banana Apart

  • 95% Character Consistency: Maintains facial features and identity across different poses and scenarios
  • Multi-Image Fusion: Combines up to 3 separate images into cohesive, realistic results
  • Contextual Intelligence: Adds appropriate environmental elements and understands scene logic
  • Professional Quality Output: Generates advertisement-level images suitable for commercial use
  • Text Preservation: Maintains logos, signage, and branding details with accuracy
  • Single-Prompt Workflows: Achieves complex edits that previously required multiple tools

How to Access Nano Banana for Free

Access: Visit aistudio.google.com with any Google account Features: Direct API access, template workflows, unlimited experimentation Cost: Free tier available; $0.039 per image for API usage .

LM Arena (Community Access)

Access: Visit lmarena.ai (no account required)

Method: Select “Battle Mode” → “Generate Image” → Upload images and prompt

Note: Uses lottery system - you may need multiple attempts to get Nano Banana results .

Warning: Avoid third-party websites claiming to offer “Nano Banana” access for payment - these are unauthorized and use different models.

Nano Banana Prompt Examples :

1. Social Scene Creation

Prompt: “A woman sitting with a man, they are both looking at the phone and laughing.”

Use Case: Combining two separate images - a man in a cafe and a woman to create a natural social scene.

2. Historical Figure Mashup - Standing Portrait

Prompt: “Portrait of Michael Jackson and Albert Einstein standing in a room like they are the best of friends.”

Use Case: Merging iconic figures from different eras into a single believable scene.

3. Historical Figure Mashup - Full Body

Prompt: “Give me a full body portrait” (of Michael Jackson and Albert Einstein)

Use Case: Expanding the previous portrait to show full bodies while maintaining character consistency.

4. Weather Transformation

Prompt: “Make the weather overcast and rainy and the people in the photo should be holding umbrellas.”

Use Case: Completely changing weather conditions and adding contextual objects (umbrellas) to match.

Read More :** How to Create Product Photography with Nano Banana**

5. Interior Design Transfer

Prompt: “Decorate the empty room with a Buddhist theme.”

Use Case: Using one decorated room as reference to transform an empty room with the same design elements.

6. Cinematic Car Portrait

Prompt: “Cinematic shot of a man standing next to a sports car.”

Use Case: Adding a generated sports car to create a cinematic portrait without uploading a car reference.

7. Cinematic Car Portrait (Specific Car)

Prompt: Same prompt but with uploaded yellow car image

Use Case: Replacing the generated car with a specific car model while maintaining cinematic quality.

8. Multi-Angle Video Production

Prompts:

  • “Medium close-up shot of the man”
  • “Close-up shot of the woman”
  • “Overhead shot of the same scene”

Use Case: Creating different camera angles from a single restaurant scene for video production.

9. Product Lifestyle Context

Prompt: “This chair in a cigar lounge.”

Use Case: Placing a leather couch in an appropriate luxury setting with contextual elements (cigars, whiskey).

10. Kitchen Appliance Scene

Prompt: “This coffee machine is kept in a kitchen. A cup of coffee is being made using it.”

Use Case: Creating a realistic kitchen environment with coffee-making action and relevant props.

11. Professional Product Advertisement

Prompt: “A woman holding a blue perfume bottle sitting on a luxurious couch and wearing pink leather boots.”

Use Case: Creating a professional advertisement image by combining person, product, and luxury setting.

12. Urban Automotive Scene

Prompt: “Man sitting in a sports car on a busy street in downtown.”

Use Case: Placing a person in an urban automotive setting with appropriate background context.

13. Clothing Swap with Complex Design

Prompt: “Man wearing a t-shirt which says stay rad.”

Use Case: Changing clothing while maintaining body pose and preserving text/design details.

14. Product Advertisement Creation

Prompt: “Cinematic advertisement for a bicycle.”

Use Case: Transforming a simple product image into a professional advertisement with maintained branding.

15. Vehicle Customization

Prompt: “Design the van in the same style as the logo.”

Use Case: Applying logo design elements to customize a vehicle’s appearance.

Conclusion

Nano Banana represents a paradigm shift in AI image editing, consistently delivering professional-quality results that maintain character consistency while understanding complex contextual relationships.

These 15 examples demonstrate its superiority over established competitors like Flux Context, ChatGPT-4, and Gemini 2 Flash across diverse use cases from portrait photography to product advertisements.

The model’s ability to execute complex multi-image compositions, preserve branding elements, and generate different camera angles from single scenes positions it as an essential tool for content creators, video producers, and marketing professionals.

With Google’s planned integration into Pixel phones, the Gemini app, and Veo video generation, Nano Banana is poised to democratize professional-level image editing capabilities.

While currently accessible through Google AI Studio and LM Arena, the upcoming official release will likely establish new industry standards for AI-assisted creative workflows and reshape how we approach visual content creation.