Google Nano Banana is a cutting-edge text-to-image model that generates images from natural language prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Bereit

$0.038pro Durchlauf·~26 / $1

A little girl blowing soap bubbles in a backyard, sunlight making rainbow colors in the bubbles, candid photography style.

A bustling New York street at sunset, golden light reflecting on skyscrapers, cinematic lighting

A focused, dynamic action shot of a young East Asian female volleyball player, "Natalie D.", captured mid-serve in an indoor gymnasium. She is poised with a green, white, and brown volleyball in her raised right hand, looking upwards with concentration. She is wearing a modern athletic volleyball uniform: a short-sleeved, royal blue jersey with bright lime green chevron patterns and the text "GOOGLE AI DEVELOPERS" and the number "17" prominently displayed. She also wears matching royal blue spandex shorts with lime green accents. A white volleyball net is visible in the slightly blurred background, with the gym's blue wall beyond it. The image is framed within an elaborate, modern sports trading card design: a thick white border with numerous angular, abstract diagonal and parallel lines in bright lime green, hot pink, and dark grey creating a very energetic and dynamic visual. "NATALIE D." is at the top left in a bold white font. The top right has a rectangular "ULTRA 97" emblem. The bottom features a black bar with "GOOGLE AI DEVELOPERS" and "OFFICIAL TRADING CARD" in white text. Various other graphic elements and smaller texts ("SA/R98", "ULTRA") are scattered on the sides of the border. The lighting is bright and even, typical of an indoor sports facility, with crisp focus on the athlete.

A breathtaking, National Geographic style photograph of a rustic stone farmhouse in Tuscany, Italy, at sunrise. A gentle morning mist blankets the rolling hills, partially obscuring the cypress trees that line a winding dirt road leading to the house. Warm, golden light from the rising sun breaks through the fog, illuminating the terracotta roof and a small wisp of smoke rising from the chimney. The scene feels timeless and tranquil. Shot on Kodak Portra 400 film for rich colors and soft grain. Wide-angle lens, capturing the grand scale and serene beauty of the landscape.

Miniature Chocolate Brand Fun
Nano Banana Text-to-Image is Google’s lightweight yet powerful AI image generation model, built for creators who need fast, high-quality visuals from simple text prompts. It transforms words into expressive, realistic images with remarkable clarity, composition, and style diversity — all within seconds.
Try the New Version of Nano Banana!
Instant Image Creation Generate beautiful, coherent visuals from just a short text prompt — no design skills required.
Versatile Visual Styles Supports realistic, illustrative, anime, and painterly outputs, adapting naturally to your creative intent.
Accurate Text-to-Scene Understanding Accurately interprets subjects, backgrounds, and object relationships to create contextually correct compositions.
Fast & Efficient Optimized for quick turnaround and minimal compute cost, perfect for rapid prototyping and social content.
Clean, Balanced Lighting Produces visually appealing results without overexposure or unnatural shadows — ideal for portraits, landscapes, and product imagery.
Input: text prompt
Output: high-quality image (JPEG/PNG/WEBP)
Supports multiple aspect ratios and output format
Compatible with descriptive prompts such as:
“A golden retriever playing in a field of sunflowers at sunset.”
“A futuristic city skyline with neon reflections on wet streets.”
“An elegant still-life photo of coffee and croissants by a window.”
Please ensure your prompts comply with Google’s Safety Guidelines. If an error occurs, review your prompt for restricted content, adjust it, and try again.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/nano-banana/text-to-image with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Nano Banana Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/nano-banana/text-to-image" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("google/nano-banana/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"google/nano-banana/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputNano Banana Text To Image is a Google model for image generation, exposed as a REST API on WaveSpeedAI. Google Nano Banana is a cutting-edge text-to-image model that generates images from natural language prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/google/google-nano-banana-text-to-image.
Nano Banana Text To Image starts at $0.038 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `aspect_ratio`, `enable_base64_output`, `enable_sync_mode`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/google/google-nano-banana-text-to-image.
Average end-to-end generation time on WaveSpeedAI is around 13 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Google). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.