NANO-BANANA
Upload your room, sofa, and lamp photos to instantly generate a realistic interior scene. Your furniture is seamlessly placed into the space with natural lighting and proper proportions. Perfect for high-quality product visuals.
Avg Run Time: 30.000s
Model Slug: nano-banana-pro-biometric-photo
Release Date: December 8, 2025
Playground
Input
Output
Example Result
Preview and download your result.
API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
nano-banana-pro-biometric-photo — Image-to-Image AI Model
Transform uploaded photos of rooms, sofas, and lamps into photorealistic interior scenes with nano-banana-pro-biometric-photo, Google's advanced image-to-image AI model from the nano-banana family. Powered by the official Gemini 3 Pro Image architecture (internal codename nano-banana-pro-biometric-photo), it seamlessly integrates furniture into spaces with natural lighting, accurate proportions, and high-fidelity details—ideal for e-commerce product visuals and interior design mockups.
This Google image-to-image model excels in multi-reference fusion, supporting up to 14 input images for precise composition while maintaining consistency, a step above standard AI photo editing tools. Developers and designers searching for "image-to-image AI model" or "AI photo editing for e-commerce" will find nano-banana-pro-biometric-photo delivers 2K-4K outputs in 8-15 seconds, grounded in real-world physics for professional results without studio shoots.
Technical Specifications
What Sets nano-banana-pro-biometric-photo Apart
nano-banana-pro-biometric-photo stands out in the competitive landscape of image-to-image AI models through its Gemini 3 Pro Image foundation, enabling unique capabilities like Google Search grounding for factually accurate elements and multi-image reference handling.
- Multi-image reference fusion (up to 14 images): Combines multiple photos, such as room layouts and furniture items, into cohesive scenes with perfect proportion and lighting matching; this allows precise biometric photo placement for realistic interiors without manual adjustments.
- Native 2K-4K resolution with photorealistic text rendering: Generates sharp, high-res outputs (e.g., 2048x2048) featuring legible labels, logos, and details; users gain print-ready visuals for product catalogs that competitors like basic Nano Banana can't match at scale.
- Advanced physics-aware editing and inpainting: Performs localized changes like outpainting rooms or replacing elements while preserving natural shadows and reflections; this empowers "edit images with AI" workflows for rapid prototyping.
Processing averages 8-15 seconds per image, supporting flexible aspect ratios and SynthID watermarking for outputs in standard formats. Compared to generic tools, its instruction-following precision makes it the top choice for nano-banana-pro-biometric-photo API integrations.
Key Considerations
Tips & Tricks
How to Use nano-banana-pro-biometric-photo on Eachlabs
Access nano-banana-pro-biometric-photo seamlessly on Eachlabs via the Playground for instant testing—upload up to 14 reference images (rooms, furniture), add a descriptive prompt, select 2K-4K resolution and aspect ratio, then generate in 8-15 seconds. Integrate through the nano-banana-pro-biometric-photo API or SDK for apps, with JSON inputs supporting image-to-image edits and photorealistic outputs in PNG/JPEG formats.
---Capabilities
What Can I Use It For?
Use Cases for nano-banana-pro-biometric-photo
E-commerce marketers upload sofa and lamp photos alongside a room image, using prompts like "Place this gray sofa and brass lamp into a modern living room with evening sunlight from the left window, add realistic shadows and fabric textures" to generate high-res product visuals; this eliminates photography costs while ensuring proportional, lit scenes for online stores seeking AI photo editing for e-commerce
Interior designers feed multiple reference shots into nano-banana-pro-biometric-photo's multi-image fusion for client mockups, such as integrating custom furniture into biometric-scanned spaces with accurate lighting; the model's physics simulation delivers photoreal composites faster than traditional software.
Developers building AI image editor APIs leverage its 14-image support and 4K upscaling for apps handling complex edits, like "Replace the blank wall with shelves matching the room's wood tone, keep all existing furniture identical"; this provides scalable, high-quality outputs for production apps.
Product photographers use Google Search grounding to incorporate real-world elements, generating scenes with current furniture trends; ideal for A/B testing visuals in campaigns without reshoots.
Things to Be Aware Of
Limitations
Pricing
Pricing Detail
This model runs at a cost of $0.15 per execution.
Pricing Type: Fixed
The cost remains the same regardless of which model you use or how long it runs. There are no variables affecting the price. It is a set, fixed amount per run, as the name suggests. This makes budgeting simple and predictable because you pay the same fee every time you execute the model.
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