curl-X POST 'https://pollo.ai/api/platform/v1/generation/google/nano-banana-2-1/image'\-H'Content-Type: application/json'\-H'x-api-key: YOUR_API_KEY'\-d'{ "input": { "prompt": "A cinematic shot of a golden retriever running through a field of sunflowers at sunset, warm rim light, shallow depth of field", "aspectRatio": "1:1", "resolution": "1K", "thinkingLevel": "minimal" }}'
Optionally include webhookUrl to receive a callback when the task succeeds or fails.
Optional request field
{"input":{"prompt":"A cinematic shot of a golden retriever running through a field of sunflowers at sunset, warm rim light, shallow depth of field","aspectRatio":"1:1","resolution":"1K","thinkingLevel":"minimal"},"webhookUrl":"https://example.com/webhooks/pollo"}
Schema
Input fields for the selected endpoint and mode.
Field
Type
Required
Description
prompt
string
Yes
Text prompt describing the content to generate.
aspectRatio
string
No
Output aspect ratio, as width:height (e.g. 16:9).
resolution
string
No
Output resolution of the generated media (e.g. 720p, 1080p, 2K, 4K). Values are case-insensitive.
thinkingLevel
string
No
How much the model reasons before generating the image. Higher levels may improve quality but take longer.
Nano Banana 2.1 pairs Flash-level speed with clearer typography, more natural images, and steadier reference blending, helping teams produce detailed visuals without sacrificing generation efficiency.
Use Nano Banana 2.1 on Pollo API to add image generation and editing to applications for advertising, illustrated content, and consistent product imagery.
Key Features of Nano Banana 2.1 API
More Natural Image Detail
Improved realism and finer detail make generated scenes feel more natural, while stronger instruction understanding helps translate composition, visual style, and complex creative requirements into images.
Clearer Text and Layouts
Sharper lettering and more accurate infographic layouts improve text-heavy visuals, making it easier to create posters, advertisements, and illustrated explanations with a clear information hierarchy.
Multi-Image Consistency
Combine up to 14 reference images while better preserving character appearance and object features, supporting compositions that bring multiple subjects or visual assets together.
Detailed 4K Output
Create images at up to 4K with support for wide compositions, while improved handling of ultrawide scenes reduces unwanted repetition and visible tiling artifacts.
Flash-Level Efficiency
Flash-level speed keeps visual iteration practical, while lower image output costs than Nano Banana 2 at standard and intermediate resolutions improve the economics of repeated generation.
Use Cases of Nano Banana 2.1 API
Event Posters: Combine exact headlines, venue details, and illustrative elements in layouts with clearer typography and a deliberate reading order.
Educational Infographics: Turn supplied explanations into labeled diagrams and organized panels, using stronger layout handling to keep related information together.
Product Collection Images: Bring separate product references into one scene while retaining distinctive shapes, colors, and other recognizable features.
Recurring Character Illustrations: Reuse character references across different settings to maintain recognizable appearances throughout illustrated stories or branded content.
Reference-Based Image Editing: Revise a scene’s background, lighting, or arrangement while specifying which subject details should remain unchanged.
Creative Testing Workflows: Produce variations of a supplied concept for review, balancing turnaround time and output cost across repeated requests.
How to Use Nano Banana 2.1 API
Get an API Key: Create a Pollo API account and generate your API key from the developer dashboard.
Choose the Model: Send requests to the Nano Banana 2.1 endpoint at /generation/google/nano-banana-2-1/image.
Add Your Inputs: Set input.prompt; add input.images with up to 14 reference image URLs for editing or reference-based generation. Choose resolution (1K, 2K, or 4K), aspectRatio, and thinkingLevel (minimal, medium, or high) inside input.
Generate and Retrieve: Submit the request, retain the returned taskId, and retrieve the result through task tracking.
Prompting Best Practices for Nano Banana 2.1 API
Define the composition before adding detail. For reference-based work, assign each image a specific role and state which subject features, text, and spatial relationships must remain intact.
A Simple Prompt Formula
Image purpose + subject or reference roles + composition + exact text and placement + visual style and lighting + details to preserve
What You Should Notice
Exact Wording: Put required text in quotation marks and specify its placement, size hierarchy, and reading order. Proofread generated text before publication.
Reference Roles: Identify which reference supplies the character, product, environment, or style instead of asking the model to blend everything equally.
Preserved Features: Name the facial details, product proportions, colors, and markings that should stay recognizable when changing the surrounding scene.
Layout Priorities: Describe the main focal point, panel arrangement, and empty space before listing decorative details.
Wide Compositions: Specify what belongs on the left, center, and right, and request one continuous scene when repeated elements would be distracting.
Editing Boundaries: Explain what should change and what should remain. Review fine details after editing, especially lettering and recognizable subject features.
Example Prompts
Community Workshop Poster
“Design a warm illustrated poster for a neighborhood repair workshop. Place ‘FIX IT TOGETHER’ at the top, ‘Saturday, 10 AM’ below, and ‘Community Hall’ at the bottom. Show hands repairing a bicycle in the center. Use cream and forest green, clear lettering, and generous spacing.”
Reference-Based Product Collection
“Use the three reference images as separate product sources: a ceramic cup, a teapot, and a serving tray. Arrange them together on a sunlit breakfast table. Preserve each object’s shape, glaze color, and painted details. Match their scale and shadows within one natural photographic scene.”
Consistent Storybook Character
“Use the reference child as the main character in a watercolor library scene. Preserve the round glasses, curly hair, yellow cardigan, and facial proportions. Show the child reaching for a large blue book, with low shelves, soft afternoon light, and open space above for text.”
Ultrawide Landscape Banner
“Create an ultrawide illustrated riverside park banner as one continuous scene. Place a small footbridge on the left, open water in the center, and a willow tree on the right. Keep the upper center uncluttered for a headline. Avoid duplicated trees, repeated bridges, or tiled scenery.”
Nano Banana 2.1 vs Nano Banana 2 vs GPT Image 2.5 Flare
The supplied testing notes position Nano Banana 2.1 between Nano Banana 2 and GPT Image 2.5 Flare for overall generation and single-image editing quality.
Comparison
Nano Banana 2.1
Nano Banana 2
GPT Image 2.5 Flare
Overall generation quality in supplied tests
Above Nano Banana 2; below GPT Image 2.5 Flare
Below Nano Banana 2.1
Above Nano Banana 2.1
Single-image editing quality in supplied tests
Above Nano Banana 2; below GPT Image 2.5 Flare
Below Nano Banana 2.1
Above Nano Banana 2.1
Typography and subject consistency
Improved over Nano Banana 2
Baseline for the reported improvements
No separate assessment supplied
Recommended evaluation focus
Speed, cost efficiency, and improved visual consistency
Comparison baseline for existing workflows
Higher overall quality in the supplied tests
Why Choose Nano Banana 2.1 API?
Nano Banana 2.1 suits workflows where readable text, recognizable subjects, and rapid iteration matter together, with improved image detail and more dependable multi-reference compositions.
Through Pollo API, you can access Nano Banana 2.1 alongside 300+ models, with documentation, task tracking, and completion callbacks supporting your generation workflow.
Try Nano Banana 2.1 API to build poster generators, reference-based editing tools, and consistent product imagery with a practical balance of visual quality and efficiency.
Nano Banana 2.1 API FAQs
What is Nano Banana 2.1?
Nano Banana 2.1 is an image generation and editing model that upgrades Nano Banana 2 with more natural detail, clearer typography, and stronger subject consistency while retaining Flash-level efficiency.
How many reference images does Nano Banana 2.1 support?
Nano Banana 2.1 supports up to 14 reference images. Assign each reference a clear role and describe the character details or object features you want preserved in the final composition.
Can Nano Banana 2.1 generate readable text and infographics?
Yes. Nano Banana 2.1 improves text clarity and infographic layout accuracy, making it useful for posters and explanatory visuals. Supply exact wording and review spelling, labels, and factual content afterward.
How do Nano Banana 2.1’s thinking levels affect generation?
Three thinking levels let you balance speed and instruction handling. Higher levels may help with complex layouts or detailed requirements, but they can take longer and do not guarantee better results.
How fast is Nano Banana 2.1?
Supplied tests recorded approximately 11–12 seconds per image, though timing varies.
Why run Nano Banana 2.1 through Pollo API?
Pollo API gives you one integration for Nano Banana 2.1 and 300+ other models, with documentation, task tracking, and completion callbacks for practical image generation and editing workflows.
