Is Nano Banana limited to a single art style?

No. It's optimized for identity preservation and controllable edits—you can guide styles through prompts and references, from clean business portraits to stylized illustrations.

How many reference images are needed for identity locking?

One image works, but 2-3 clear multi-angle photos provide more stable facial feature restoration.

Will the face change after switching outfits or scenes?

No. The model locks core facial geometry and features—outfits, backgrounds, and lighting can change freely.

Can I edit specific elements without masking?

Yes. Describe the target object or region in natural language—the system automatically identifies and modifies it while keeping everything else unchanged.

Are edits and blends realistic enough?

Edits automatically match perspective, lighting, and occlusion—inserted elements look 'grown into the scene' rather than simply pasted.

Can teams reuse the same character across projects?

Yes. Shared reference sets with consistent prompts allow team members to generate style-unified character variations.

Is it suitable for professional headshots?

Absolutely. Maintain realistic likeness while generating clean backgrounds and consistent lighting for professional portraits.

Can generated images be used commercially?

Yes. Generated images can be used for marketing, products, and client projects—refer to your account terms for details.

Does multi-image fusion maintain lighting consistency?

Yes. The model automatically adjusts the subject based on the target scene's light direction, shadows, and color temperature for natural, coherent composites.

Nano Banana

Q: How are uploaded photos handled?

Only used to generate your results—never used to train public models or shared with others.

A lightweight, efficient image generation model with identity locking, seamless scene transfer, and mask-free semantic editing. Upload a few references to maintain character consistency and control every detail with natural language.

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How It Works

Step 1

Describe Your Scene

Use natural language to describe what you want. Optionally upload 1-3 reference images to lock character identity or guide edits.

Step 2

Add Constraints

Specify outfits, backgrounds, objects, or style preferences to guide the model toward what you want to emphasize or change.

Step 3

Generate & Refine

Review results and adjust prompts to fine-tune lighting, composition, or details before exporting your final image.

Key Capabilities

Identity Preservation

Upload 1-3 photos of a person and maintain highly consistent facial features across different scenes. Whether outdoor sports, studio shoots, or conference settings—facial contours, skin texture, and even freckle positions are precisely preserved. One upload, multiple scenes—generate brand-consistent portrait series without repeated photo shoots.

Founder shown in three settings with identical facial features.

Scene Transfer

Move the same character from a bedroom to a rainy street, then to a sunny beach—with just one reference image, the model automatically adapts clothing, lighting, and atmosphere while keeping core identity features intact. Perfect for children's books, comic series, or multi-scene game character narratives.

Child hero moved from a bedroom to a rainy street while keeping the same face.

Semantic Editing

No manual masking required—precisely target edits using natural language. 'Replace the background tree with a cactus' or 'change the hand gesture to waving'—the model automatically identifies semantic objects, modifies only specified elements, and preserves the original lighting, perspective, and overall mood. Say goodbye to tedious layer operations.

Portrait edited to replace a tree with a cactus and change the hand to a wave.

Multi-Image Fusion

Seamlessly blend the subject from Image A into the environment of Image B. The model automatically matches the target scene's light direction, color temperature, and floor reflections—making the composite look like a single shoot. Skip tedious post-production compositing and quickly generate cross-location promotional assets.

Studio portrait subject blended into a modern library with matched lighting.

Physical Logic

The model has spatial awareness—understanding occlusion, shadows, and perspective relationships. 'Place a toy ball under the coffee table'—the ball will be partially occluded by table legs with shadows naturally cast on the floor. Every edit follows physical laws—no more 'floating' or 'clipping' artifacts.

Toy ball placed under a coffee table with realistic occlusion and shadow.

World Knowledge

The model has a rich built-in knowledge base of eras and cultures. 'Generate a 1990s Tokyo night scene'—without extra guidance, it automatically adds boxy vintage sedans, neon signage, and retro vending machines. Quickly build period-accurate scene references for film pre-production mood boards.

1990s Tokyo street scene with era-appropriate cars and neon signage.

Why Choose Nano Banana

Reliable Identity Control

Reference-guided generation ensures facial features and signature details remain consistent across batch outputs—meeting high standards for series content and team collaboration.

Mask-Free Precision Editing

Describe edit targets in natural language and the system automatically locates and modifies them—preserving original lighting and composition while drastically reducing manual layer work.

Data Privacy Protection

Uploaded reference images are only used to generate your results—never used to train public models or shared with other users.

FAQ

Lightweight, Efficient, Precise Control

Upload references, guide with natural language, and quickly generate professional images with consistent identity and flexible scenes.

Start Creating

FAQ