# Nano Banana 2.1 - Core.Today AI API > Google's latest fast image generation model — the high-efficiency counterpart to Nano Banana Pro. Builds on Nano Banana 2 with sharper output, better text rendering, and real-time grounding while keeping Flash-family speed and cost. Features conversational editing, multi-image fusion with up to 14 reference images, Google Web / Image Search grounding, and resolutions up to 4K. - **Provider**: Google - **Model ID**: google/nano-banana-2.1 - **Category**: Image Generation - **Credits**: 79 per image (1K), 120 for 2K, 260 for 4K - **Speed**: Fast - **Quality**: Ultra ## Features - Sharper output and better text rendering than Nano Banana 2 - Accurate multilingual text in signage, posters, labels, and infographics - Google Web Search and Image Search grounding for real-time context - Up to 14 reference images for editing and multi-image fusion - Up to 4K output resolution (1K, 2K, 4K) - Extreme aspect ratios: 1:4, 4:1, 1:8, 8:1 ## Use Cases - Typography, logos, and branding with accurate multilingual text - Infographics and posters that need clean, readable text - Real-time data visualization using Google Search grounding - Conversational image editing with reference images - High-resolution content production up to 4K at Flash-level cost ## API Endpoint Base URL: https://api.core.today/v1 Create Prediction: POST /predictions Get Status: GET /predictions/{job_id} ## Authentication Header: X-API-Key: YOUR_API_KEY ## Input Parameters ### Required - **prompt**: string - A text description of the image you want to generate ### Optional - **image_input**: array (default: []) - Input images to transform or use as reference (supports up to 14 images) - **aspect_ratio**: string (default: match_input_image) - Aspect ratio of the generated image Options: match_input_image, 1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9 - **resolution**: string (default: 1K) - Resolution of the generated image. Higher resolutions take longer to generate. Options: 1K, 2K, 4K - **google_search**: boolean (default: false) - Use Google Web Search grounding for real-time information (weather, sports scores, recent events) - **image_search**: boolean (default: false) - Use Google Image Search grounding for visual context. Enabling this also enables web search. - **output_format**: string (default: jpg) - Format of the output image Options: jpg, png ## Examples ### Text Rendering in a Scene Render a brand name as hand-painted lettering on a storefront window ```json { "model": "google/nano-banana-2.1", "input": { "prompt": "A vibrant storefront window display for a bakery called \"CORE.TODAY\", with the name spelled out in elegant hand-painted gold lettering on the glass, fresh pastries and banana bread artfully arranged inside, warm morning light, photorealistic, highly detailed", "aspect_ratio": "16:9", "resolution": "1K", "output_format": "jpg" } } ``` ### Photorealistic Close-up Generate a playful photorealistic image with golden hour lighting ```json { "model": "google/nano-banana-2.1", "input": { "prompt": "a photorealistic close-up of a ripe banana wearing tiny sunglasses on a beach, golden hour lighting", "aspect_ratio": "16:9", "resolution": "1K" } } ``` ## Response Format ```json { "job_id": "abc123", "status": "pending | processing | completed | failed", "result": "URL or data (when completed)" } ``` ## Usage Flow 1. POST /predictions with model and input -> receive job_id 2. GET /predictions/{job_id} -> poll until status is completed or failed 3. Result contains output URL(s) ## Tips - Cheapest way to get Nano Banana quality — 1K costs 79 credits, less than half of Nano Banana 2 - Text rendering is sharper than Nano Banana 2 — put exact wording in quotes for signage, posters, and labels - Use google_search for real-time data (weather, sports, news); image_search adds web images as visual context - Use 1K (79 credits) for drafts and 4K (260 credits) only for final production assets - Set aspect_ratio to match_input_image when editing to keep the original framing - Combine up to 14 reference images with a text prompt for style fusion and character consistency