# Le champ model peut valoir "gemini-3.1-flash-image-preview" ou son alias compatible "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"
}
}
Nano banana2
Nano banana2 Génération d'images
- Prend en charge la génération texte-vers-image et image-vers-image, sortie jusqu’à la résolution 4K
- Jusqu’à 14 images de référence pour la cohérence de style/personnage
- Prend en charge des ratios d’aspect extrêmes (1:4, 4:1, 1:8, 8:1)
- Amélioration intégrée via la recherche Google pour une génération d’images plus réaliste
POST
/
v1
/
images
/
generations
# Le champ model peut valoir "gemini-3.1-flash-image-preview" ou son alias compatible "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"
}
}
Alias de modèle compatible : cette API prend également en charge l’alias
nano-banana-2-ext, équivalent à gemini-3.1-flash-image-preview ; les deux sont interchangeables et produisent des résultats identiques.# Le champ model peut valoir "gemini-3.1-flash-image-preview" ou son alias compatible "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"
}
}
Autorisations
string
requis
Tous les points de terminaison de l’API nécessitent une authentification Bearer TokenObtenir votre clé API :Rendez-vous sur la page de gestion des clés API pour obtenir votre clé APIAjoutez-la à l’en-tête de la requête :
Authorization: Bearer YOUR_API_KEY
Body
string
défaut:"gemini-3.1-flash-image-preview"
requis
Nom du modèle de génération d’imagesModèles pris en charge :
gemini-3.1-flash-image-preview— Version standard (alias compatiblenano-banana-2-ext)gemini-3.1-flash-image-preview-official— Version officielle (alias compatiblenano-banana-2)
"gemini-3.1-flash-image-preview" ou "gemini-3.1-flash-image-preview-official"Pour assurer la compatibilité avec les anciens appels, les alias
nano-banana-2-ext (correspondant à gemini-3.1-flash-image-preview) et nano-banana-2 (correspondant à gemini-3.1-flash-image-preview-official) restent utilisables normalement.boolean
défaut:"false"
Indique s’il faut modérer le contenu avant d’envoyer la tâche d’image.
true: vérifier les prompts et les images d’entrée avecomni-moderation-latestfalseou omis : ne pas envoyer de requête de modération, sans coût ni latence de modération supplémentaires (par défaut)
string
requis
Description textuelle pour la génération d’images
string
Ratio d’aspect de l’imageRatios pris en charge :
auto— Choix automatique du ratio d’aspect1:1— Carré, avatars, réseaux sociaux3:2/2:3— Photos standard4:3/3:4— Ratio d’affichage traditionnel16:9/9:16— Écran large / couvertures vidéo verticales5:4/4:5— Images Instagram21:9— Bannière ultra-large1:4/4:1— Long poster / bannière1:8/8:1— Images extrêmement longues / publicités bannière
Pour la génération texte-vers-image, lorsque
size vaut auto, la valeur par défaut est 1:1 ou 16:9 ; pour la génération image-vers-image, le ratio d’aspect suit la réponse de la source en amont. Nous vous recommandons de spécifier explicitement un ratio d’aspect.string
défaut:"1K"
Résolution de l’image de sortieValeurs prises en charge :
0.5K— ~512px, aperçu basse résolution1K— ~1024px, résolution standard (par défaut)2K— ~2048px, haute résolution4K— ~4096px, résolution ultra-haute
Note : Les différentes résolutions ont des tarifs différents. La 4K coûte plus cher que la 1K.
integer
Nombre d’images à générerPlage : 1Par défaut : 1⚠️ Note : Doit être un nombre brut (par exemple
1), sans guillemets, sinon une erreur sera renvoyéeboolean
défaut:"false"
Utiliser ou non le canal officiel en repli
false: Ne pas utiliser (par défaut)true: Utiliser le canal officiel
Lors de l’utilisation du canal officiel (
gemini-3.1-flash-image-preview-official), ce paramètre ne peut pas être utilisé.array
Liste des URL d’images de référence pour la génération image-vers-imageDeux formats sont pris en charge :1. URL d’image complète
- URL d’image accessible publiquement (http:// ou https://)
- Exemple :
https://example.com/image.jpg
- Le format Data URI complet doit être utilisé
- Format :
data:image/{format};base64,{base64data} - Formats d’image pris en charge : jpeg, png, webp
- Exemple :
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg... - ⚠️ Note : Le préfixe
data:image/jpeg;base64,doit être inclus
- Maximum 14 images de référence (recommandé : jusqu’à 10 références d’objets + 4 références de personnages)
- Taille d’une image : ne dépassant pas 10 Mo
- Formats pris en charge : jpeg, png, webp
boolean
défaut:"false"
Activer l’amélioration via la recherche textuelle Google
true: Le modèle recherchera des informations textuelles sur le Web pour aider à la génération d’images, adapté aux scénarios nécessitant des informations réellesfalse: Désactivé (par défaut)
boolean
défaut:"false"
Activer l’amélioration via la recherche d’images Google
true: En plus de la recherche textuelle, des images de référence seront également recherchées pour aider à la génération, adapté aux scénarios nécessitant des références visuellesfalse: Désactivé (par défaut)
Note : Doit être utilisé conjointement avec google_search: true
Response
integer
Code de statut de la réponse
⌘I