Skip to main content
POST
/
v1
/
images
/
generations
# model can be "gemini-3.1-flash-image-preview", or the compatible alias "nano-banana-2-ext"
curl --request POST \
  --url https://api.apimart.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "Cyberpunk cityscape at night with neon lights",
    "size": "16:9",
    "resolution": "2K",
    "n": 1
  }'
import requests

url = "https://api.apimart.ai/v1/images/generations"

payload = {
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "Cyberpunk cityscape at night with neon lights",
    "size": "16:9",
    "resolution": "2K",
    "n": 1
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
const url = "https://api.apimart.ai/v1/images/generations";

const payload = {
  model: "gemini-3.1-flash-image-preview",
  prompt: "Cyberpunk cityscape at night with neon lights",
  size: "16:9",
  resolution: "2K",
  n: 1
};

const headers = {
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://api.apimart.ai/v1/images/generations"

    payload := map[string]interface{}{
        "model":      "gemini-3.1-flash-image-preview",
        "prompt":     "Cyberpunk cityscape at night with neon lights",
        "size":       "16:9",
        "resolution": "2K",
        "n":          1,
    }

    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;

public class Main {
    public static void main(String[] args) throws Exception {
        String url = "https://api.apimart.ai/v1/images/generations";

        String payload = """
        {
          "model": "gemini-3.1-flash-image-preview",
          "prompt": "Cyberpunk cityscape at night with neon lights",
          "size": "16:9",
          "resolution": "2K",
          "n": 1
        }
        """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create(url))
            .header("Authorization", "Bearer <token>")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(payload))
            .build();

        HttpResponse<String> response = client.send(request,
            HttpResponse.BodyHandlers.ofString());

        System.out.println(response.body());
    }
}
<?php

$url = "https://api.apimart.ai/v1/images/generations";

$payload = [
    "model" => "gemini-3.1-flash-image-preview",
    "prompt" => "Cyberpunk cityscape at night with neon lights",
    "size" => "16:9",
    "resolution" => "2K",
    "n" => 1
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>
require 'net/http'
require 'json'
require 'uri'

url = URI("https://api.apimart.ai/v1/images/generations")

payload = {
  model: "gemini-3.1-flash-image-preview",
  prompt: "Cyberpunk cityscape at night with neon lights",
  size: "16:9",
  resolution: "2K",
  n: 1
}

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json

response = http.request(request)
puts response.body
import Foundation

let url = URL(string: "https://api.apimart.ai/v1/images/generations")!

let payload: [String: Any] = [
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "Cyberpunk cityscape at night with neon lights",
    "size": "16:9",
    "resolution": "2K",
    "n": 1
]

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let error = error {
        print("Error: \(error)")
        return
    }

    if let data = data, let responseString = String(data: data, encoding: .utf8) {
        print(responseString)
    }
}

task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
    static async Task Main(string[] args)
    {
        var url = "https://api.apimart.ai/v1/images/generations";

        var payload = @"{
            ""model"": ""gemini-3.1-flash-image-preview"",
            ""prompt"": ""Cyberpunk cityscape at night with neon lights"",
            ""size"": ""16:9"",
            ""resolution"": ""2K"",
            ""n"": 1
        }";

        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");

        var content = new StringContent(payload, Encoding.UTF8, "application/json");
        var response = await client.PostAsync(url, content);
        var result = await response.Content.ReadAsStringAsync();

        Console.WriteLine(result);
    }
}
#include <stdio.h>
#include <curl/curl.h>

int main(void) {
    CURL *curl;
    CURLcode res;

    curl_global_init(CURL_GLOBAL_DEFAULT);
    curl = curl_easy_init();

    if(curl) {
        const char *url = "https://api.apimart.ai/v1/images/generations";
        const char *payload = "{"
            "\"model\":\"gemini-3.1-flash-image-preview\","
            "\"prompt\":\"Cyberpunk cityscape at night with neon lights\","
            "\"size\":\"16:9\","
            "\"resolution\":\"2K\","
            "\"n\":1"
        "}";

        struct curl_slist *headers = NULL;
        headers = curl_slist_append(headers, "Authorization: Bearer <token>");
        headers = curl_slist_append(headers, "Content-Type: application/json");

        curl_easy_setopt(curl, CURLOPT_URL, url);
        curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
        curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);

        res = curl_easy_perform(curl);

        if(res != CURLE_OK) {
            fprintf(stderr, "curl_easy_perform() failed: %s\n",
                    curl_easy_strerror(res));
        }

        curl_slist_free_all(headers);
        curl_easy_cleanup(curl);
    }

    curl_global_cleanup();
    return 0;
}
#import <Foundation/Foundation.h>

int main(int argc, const char * argv[]) {
    @autoreleasepool {
        NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/images/generations"];

        NSDictionary *payload = @{
            @"model": @"gemini-3.1-flash-image-preview",
            @"prompt": @"Cyberpunk cityscape at night with neon lights",
            @"size": @"16:9",
            @"resolution": @"2K",
            @"n": @1
        };

        NSError *error;
        NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
                                                          options:0
                                                            error:&error];

        NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
        [request setHTTPMethod:@"POST"];
        [request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
        [request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
        [request setHTTPBody:jsonData];

        NSURLSessionDataTask *task = [[NSURLSession sharedSession]
            dataTaskWithRequest:request
            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                if (error) {
                    NSLog(@"Error: %@", error);
                    return;
                }
                NSString *result = [[NSString alloc] initWithData:data
                                                        encoding:NSUTF8StringEncoding];
                NSLog(@"%@", result);
            }];

        [task resume];
        [[NSRunLoop mainRunLoop] run];
    }
    return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix

let url = "https://api.apimart.ai/v1/images/generations"

let payload = {|{
  "model": "gemini-3.1-flash-image-preview",
  "prompt": "Cyberpunk cityscape at night with neon lights",
  "size": "16:9",
  "resolution": "2K",
  "n": 1
}|}

let () =
  let headers = Header.init ()
    |> fun h -> Header.add h "Authorization" "Bearer <token>"
    |> fun h -> Header.add h "Content-Type" "application/json"
  in
  let body = Cohttp_lwt.Body.of_string payload in

  let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
    body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
    print_endline body_str
  in
  Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;

void main() async {
  final url = Uri.parse('https://api.apimart.ai/v1/images/generations');

  final payload = {
    'model': 'gemini-3.1-flash-image-preview',
    'prompt': 'Cyberpunk cityscape at night with neon lights',
    'size': '16:9',
    'resolution': '2K',
    'n': 1
  };

  final response = await http.post(
    url,
    headers: {
      'Authorization': 'Bearer <token>',
      'Content-Type': 'application/json',
    },
    body: jsonEncode(payload),
  );

  print(response.body);
}
library(httr)
library(jsonlite)

url <- "https://api.apimart.ai/v1/images/generations"

payload <- list(
  model = "gemini-3.1-flash-image-preview",
  prompt = "Cyberpunk cityscape at night with neon lights",
  size = "16:9",
  resolution = "2K",
  n = 1
)

response <- POST(
  url,
  add_headers(
    Authorization = "Bearer <token>",
    `Content-Type` = "application/json"
  ),
  body = toJSON(payload, auto_unbox = TRUE),
  encode = "raw"
)

cat(content(response, "text"))
{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
    }
  ]
}
{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}
{
  "error": {
    "code": 401,
    "message": "Invalid authentication credentials",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "Insufficient balance. Please top up your account",
    "type": "payment_required"
  }
}
{
  "error": {
    "code": 403,
    "message": "Access forbidden. You don't have permission to access this resource",
    "type": "permission_error"
  }
}
{
  "error": {
    "code": 429,
    "message": "Rate limit exceeded. Please try again later",
    "type": "rate_limit_error"
  }
}
{
  "error": {
    "code": 500,
    "message": "Internal server error. Please try again later",
    "type": "server_error"
  }
}
{
  "error": {
    "code": 502,
    "message": "Bad gateway. The server is temporarily unavailable",
    "type": "bad_gateway"
  }
}
Model name compatibility note: This endpoint also accepts the alias nano-banana-2-ext, which is equivalent to gemini-3.1-flash-image-preview. The two are interchangeable and produce identical results.
# model can be "gemini-3.1-flash-image-preview", or the compatible alias "nano-banana-2-ext"
curl --request POST \
  --url https://api.apimart.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "Cyberpunk cityscape at night with neon lights",
    "size": "16:9",
    "resolution": "2K",
    "n": 1
  }'
import requests

url = "https://api.apimart.ai/v1/images/generations"

payload = {
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "Cyberpunk cityscape at night with neon lights",
    "size": "16:9",
    "resolution": "2K",
    "n": 1
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
const url = "https://api.apimart.ai/v1/images/generations";

const payload = {
  model: "gemini-3.1-flash-image-preview",
  prompt: "Cyberpunk cityscape at night with neon lights",
  size: "16:9",
  resolution: "2K",
  n: 1
};

const headers = {
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://api.apimart.ai/v1/images/generations"

    payload := map[string]interface{}{
        "model":      "gemini-3.1-flash-image-preview",
        "prompt":     "Cyberpunk cityscape at night with neon lights",
        "size":       "16:9",
        "resolution": "2K",
        "n":          1,
    }

    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;

public class Main {
    public static void main(String[] args) throws Exception {
        String url = "https://api.apimart.ai/v1/images/generations";

        String payload = """
        {
          "model": "gemini-3.1-flash-image-preview",
          "prompt": "Cyberpunk cityscape at night with neon lights",
          "size": "16:9",
          "resolution": "2K",
          "n": 1
        }
        """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create(url))
            .header("Authorization", "Bearer <token>")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(payload))
            .build();

        HttpResponse<String> response = client.send(request,
            HttpResponse.BodyHandlers.ofString());

        System.out.println(response.body());
    }
}
<?php

$url = "https://api.apimart.ai/v1/images/generations";

$payload = [
    "model" => "gemini-3.1-flash-image-preview",
    "prompt" => "Cyberpunk cityscape at night with neon lights",
    "size" => "16:9",
    "resolution" => "2K",
    "n" => 1
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>
require 'net/http'
require 'json'
require 'uri'

url = URI("https://api.apimart.ai/v1/images/generations")

payload = {
  model: "gemini-3.1-flash-image-preview",
  prompt: "Cyberpunk cityscape at night with neon lights",
  size: "16:9",
  resolution: "2K",
  n: 1
}

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json

response = http.request(request)
puts response.body
import Foundation

let url = URL(string: "https://api.apimart.ai/v1/images/generations")!

let payload: [String: Any] = [
    "model": "gemini-3.1-flash-image-preview",
    "prompt": "Cyberpunk cityscape at night with neon lights",
    "size": "16:9",
    "resolution": "2K",
    "n": 1
]

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let error = error {
        print("Error: \(error)")
        return
    }

    if let data = data, let responseString = String(data: data, encoding: .utf8) {
        print(responseString)
    }
}

task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
    static async Task Main(string[] args)
    {
        var url = "https://api.apimart.ai/v1/images/generations";

        var payload = @"{
            ""model"": ""gemini-3.1-flash-image-preview"",
            ""prompt"": ""Cyberpunk cityscape at night with neon lights"",
            ""size"": ""16:9"",
            ""resolution"": ""2K"",
            ""n"": 1
        }";

        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");

        var content = new StringContent(payload, Encoding.UTF8, "application/json");
        var response = await client.PostAsync(url, content);
        var result = await response.Content.ReadAsStringAsync();

        Console.WriteLine(result);
    }
}
#include <stdio.h>
#include <curl/curl.h>

int main(void) {
    CURL *curl;
    CURLcode res;

    curl_global_init(CURL_GLOBAL_DEFAULT);
    curl = curl_easy_init();

    if(curl) {
        const char *url = "https://api.apimart.ai/v1/images/generations";
        const char *payload = "{"
            "\"model\":\"gemini-3.1-flash-image-preview\","
            "\"prompt\":\"Cyberpunk cityscape at night with neon lights\","
            "\"size\":\"16:9\","
            "\"resolution\":\"2K\","
            "\"n\":1"
        "}";

        struct curl_slist *headers = NULL;
        headers = curl_slist_append(headers, "Authorization: Bearer <token>");
        headers = curl_slist_append(headers, "Content-Type: application/json");

        curl_easy_setopt(curl, CURLOPT_URL, url);
        curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
        curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);

        res = curl_easy_perform(curl);

        if(res != CURLE_OK) {
            fprintf(stderr, "curl_easy_perform() failed: %s\n",
                    curl_easy_strerror(res));
        }

        curl_slist_free_all(headers);
        curl_easy_cleanup(curl);
    }

    curl_global_cleanup();
    return 0;
}
#import <Foundation/Foundation.h>

int main(int argc, const char * argv[]) {
    @autoreleasepool {
        NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/images/generations"];

        NSDictionary *payload = @{
            @"model": @"gemini-3.1-flash-image-preview",
            @"prompt": @"Cyberpunk cityscape at night with neon lights",
            @"size": @"16:9",
            @"resolution": @"2K",
            @"n": @1
        };

        NSError *error;
        NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
                                                          options:0
                                                            error:&error];

        NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
        [request setHTTPMethod:@"POST"];
        [request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
        [request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
        [request setHTTPBody:jsonData];

        NSURLSessionDataTask *task = [[NSURLSession sharedSession]
            dataTaskWithRequest:request
            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                if (error) {
                    NSLog(@"Error: %@", error);
                    return;
                }
                NSString *result = [[NSString alloc] initWithData:data
                                                        encoding:NSUTF8StringEncoding];
                NSLog(@"%@", result);
            }];

        [task resume];
        [[NSRunLoop mainRunLoop] run];
    }
    return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix

let url = "https://api.apimart.ai/v1/images/generations"

let payload = {|{
  "model": "gemini-3.1-flash-image-preview",
  "prompt": "Cyberpunk cityscape at night with neon lights",
  "size": "16:9",
  "resolution": "2K",
  "n": 1
}|}

let () =
  let headers = Header.init ()
    |> fun h -> Header.add h "Authorization" "Bearer <token>"
    |> fun h -> Header.add h "Content-Type" "application/json"
  in
  let body = Cohttp_lwt.Body.of_string payload in

  let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
    body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
    print_endline body_str
  in
  Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;

void main() async {
  final url = Uri.parse('https://api.apimart.ai/v1/images/generations');

  final payload = {
    'model': 'gemini-3.1-flash-image-preview',
    'prompt': 'Cyberpunk cityscape at night with neon lights',
    'size': '16:9',
    'resolution': '2K',
    'n': 1
  };

  final response = await http.post(
    url,
    headers: {
      'Authorization': 'Bearer <token>',
      'Content-Type': 'application/json',
    },
    body: jsonEncode(payload),
  );

  print(response.body);
}
library(httr)
library(jsonlite)

url <- "https://api.apimart.ai/v1/images/generations"

payload <- list(
  model = "gemini-3.1-flash-image-preview",
  prompt = "Cyberpunk cityscape at night with neon lights",
  size = "16:9",
  resolution = "2K",
  n = 1
)

response <- POST(
  url,
  add_headers(
    Authorization = "Bearer <token>",
    `Content-Type` = "application/json"
  ),
  body = toJSON(payload, auto_unbox = TRUE),
  encode = "raw"
)

cat(content(response, "text"))
{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
    }
  ]
}
{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}
{
  "error": {
    "code": 401,
    "message": "Invalid authentication credentials",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "Insufficient balance. Please top up your account",
    "type": "payment_required"
  }
}
{
  "error": {
    "code": 403,
    "message": "Access forbidden. You don't have permission to access this resource",
    "type": "permission_error"
  }
}
{
  "error": {
    "code": 429,
    "message": "Rate limit exceeded. Please try again later",
    "type": "rate_limit_error"
  }
}
{
  "error": {
    "code": 500,
    "message": "Internal server error. Please try again later",
    "type": "server_error"
  }
}
{
  "error": {
    "code": 502,
    "message": "Bad gateway. The server is temporarily unavailable",
    "type": "bad_gateway"
  }
}

Authorizations

Authorization
string
required
All API endpoints require Bearer Token authenticationGet your API Key:Visit the API Key Management Page to get your API KeyAdd it to the request header:
Authorization: Bearer YOUR_API_KEY

Body

model
string
default:"gemini-3.1-flash-image-preview"
required
Image generation model nameSupported models:
  • gemini-3.1-flash-image-preview - Standard version (compatible alias nano-banana-2-ext)
  • gemini-3.1-flash-image-preview-official - Official version (compatible alias nano-banana-2)
Example: "gemini-3.1-flash-image-preview" or "gemini-3.1-flash-image-preview-official"
For backward compatibility, the aliases nano-banana-2-ext (for gemini-3.1-flash-image-preview) and nano-banana-2 (for gemini-3.1-flash-image-preview-official) remain usable.
prompt
string
required
Text description for image generation
size
string
Image aspect ratioSupported ratios:
  • auto - Automatically choose the aspect ratio
  • 1:1 - Square, avatars, social media
  • 3:2 / 2:3 - Standard photos
  • 4:3 / 3:4 - Traditional display ratio
  • 16:9 / 9:16 - Widescreen / vertical video covers
  • 5:4 / 4:5 - Instagram images
  • 21:9 - Ultra-wide banner
  • 1:4 / 4:1 - Long poster / banner
  • 1:8 / 8:1 - Extreme long images / banner ads
For text-to-image, when size is auto, the default is 1:1 or 16:9; for image-to-image, the aspect ratio follows the upstream response. We recommend specifying an aspect ratio.
resolution
string
default:"1K"
Output image resolutionSupported values:
  • 0.5K - ~512px, low-resolution preview
  • 1K - ~1024px, standard resolution (default)
  • 2K - ~2048px, high resolution
  • 4K - ~4096px, ultra-high resolution
Note: Different resolutions have different pricing. 4K costs more than 1K.
n
integer
Number of images to generateRange: 1Default: 1⚠️ Note: Must enter a plain number (e.g., 1), do not use quotes or it will cause an error
official_fallback
boolean
default:"false"
Whether to use the official channel fallback
  • false: Do not use (default)
  • true: Use official channel
When using the official channel (gemini-3.1-flash-image-preview-official), this parameter cannot be used.
image_urls
array
Reference image URL list for image-to-image generationTwo formats are supported:1. Full image URL
  • Publicly accessible image URL (http:// or https://)
  • Example: https://example.com/image.jpg
2. Base64 encoded format
  • Must use the full Data URI format
  • Format: data:image/{format};base64,{base64data}
  • Supported image formats: jpeg, png, webp
  • Example: data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg...
  • ⚠️ Note: Must include the data:image/jpeg;base64, prefix
Limitations:
  • Maximum 14 reference images (recommended: up to 10 object refs + 4 character refs)
  • Single image size: not exceeding 10MB
  • Supported formats: jpeg, png, webp
Enable Google text search enhancement
  • true: The model will search web text information to assist image generation, suitable for scenarios requiring real-world information
  • false: Disabled (default)
Enable Google image search enhancement
  • true: In addition to text search, will also search for reference images to assist generation, suitable for scenarios requiring visual references
  • false: Disabled (default)
Note: Must be used together with google_search: true

Response

code
integer
Response status code
data
array
Response data array