curl --request POST \
--url https://api.goenhance.ai/api/v1/images/generations \
--header 'Content-Type: application/json' \
--data '
{
"model": "nano-banana-2-1",
"prompt": "a beautiful girl",
"image_size": "1k"
}
'import requests
url = "https://api.goenhance.ai/api/v1/images/generations"
payload = {
"model": "nano-banana-2-1",
"prompt": "a beautiful girl",
"image_size": "1k"
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({model: 'nano-banana-2-1', prompt: 'a beautiful girl', image_size: '1k'})
};
fetch('https://api.goenhance.ai/api/v1/images/generations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.goenhance.ai/api/v1/images/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'nano-banana-2-1',
'prompt' => 'a beautiful girl',
'image_size' => '1k'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.goenhance.ai/api/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"nano-banana-2-1\",\n \"prompt\": \"a beautiful girl\",\n \"image_size\": \"1k\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.goenhance.ai/api/v1/images/generations")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"nano-banana-2-1\",\n \"prompt\": \"a beautiful girl\",\n \"image_size\": \"1k\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.goenhance.ai/api/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"nano-banana-2-1\",\n \"prompt\": \"a beautiful girl\",\n \"image_size\": \"1k\"\n}"
response = http.request(request)
puts response.read_body{
"code": 0,
"msg": "Success",
"data": {
"img_uuid": "c12b656c-747a-44fd-9c80-add79b0c52d5",
"cost": 5.82
}
}Nano Banana 2.1 API
Google’s newer Nano Banana image model, with improved visual quality, text rendering and consistency. Text-to-image up to 4K; for editing with reference images use nano-banana-2-1-edit.
Pricing — per image, in tokens (USD at $0.02/token). Thinking is included in the price:
| image_size | tokens | USD |
|---|---|---|
| 1k | 2.92 | $0.0584 |
| 2k | 4.02 | $0.0804 |
| 4k | 8.08 | $0.1616 |
Returns an img_uuid; poll GET /api/v1/jobs/detail (or use custom_callback_url) to get the generated image.
curl --request POST \
--url https://api.goenhance.ai/api/v1/images/generations \
--header 'Content-Type: application/json' \
--data '
{
"model": "nano-banana-2-1",
"prompt": "a beautiful girl",
"image_size": "1k"
}
'import requests
url = "https://api.goenhance.ai/api/v1/images/generations"
payload = {
"model": "nano-banana-2-1",
"prompt": "a beautiful girl",
"image_size": "1k"
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({model: 'nano-banana-2-1', prompt: 'a beautiful girl', image_size: '1k'})
};
fetch('https://api.goenhance.ai/api/v1/images/generations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.goenhance.ai/api/v1/images/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'nano-banana-2-1',
'prompt' => 'a beautiful girl',
'image_size' => '1k'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.goenhance.ai/api/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"nano-banana-2-1\",\n \"prompt\": \"a beautiful girl\",\n \"image_size\": \"1k\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.goenhance.ai/api/v1/images/generations")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"nano-banana-2-1\",\n \"prompt\": \"a beautiful girl\",\n \"image_size\": \"1k\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.goenhance.ai/api/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"nano-banana-2-1\",\n \"prompt\": \"a beautiful girl\",\n \"image_size\": \"1k\"\n}"
response = http.request(request)
puts response.read_body{
"code": 0,
"msg": "Success",
"data": {
"img_uuid": "c12b656c-747a-44fd-9c80-add79b0c52d5",
"cost": 5.82
}
}Headers
Body
Model name. Must be nano-banana-2-1.
nano-banana-2-1 Text prompt describing the image.
1 - 2000Output aspect ratio. Defaults to auto, which lets the model choose the framing from your prompt.
auto, 1:1, 16:9, 9:16, 4:3, 3:4, 2:3, 3:2, 4:5, 5:4, 21:9, 1:4, 4:1, 1:8, 8:1 Output resolution. Price per image:
- 1k — 2.92 tokens ($0.0584)
- 2k — 4.02 tokens ($0.0804)
- 4k — 8.08 tokens ($0.1616)
0.5k is not available on this model.
1k, 2k, 4k Enable web search grounding.
Reasoning depth. Omit it to use the model's default (medium); thinking cannot be turned off on this model.
High, Minimal Optional. A publicly accessible HTTPS URL. When the task status changes (processing / success / failed), GoEnhance sends a POST request to this URL. The request body is identical to the response of GET /api/v1/jobs/detail. If your server does not respond with HTTP 200, the notification is retried up to 3 times, with a 3-second timeout per attempt.
"https://your-server.com/goenhance/callback"
