# El campo model puede ser "gemini-3-pro-image-preview" o el alias compatible "nano-banana-pro-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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "gemini-3-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}
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-pro-image-preview",
prompt: "A bamboo forest path under moonlight",
size: "1:1",
n: 1,
resolution: "2K"
};
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K",
}
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}
""";
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-pro-image-preview",
"prompt" => "A bamboo forest path under moonlight",
"size" => "1:1",
"n" => 1,
"resolution" => "2K"
];
$ch = curl_init($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-pro-image-preview",
prompt: "A bamboo forest path under moonlight",
size: "1:1",
n: 1,
resolution: "2K"
}
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
]
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-pro-image-preview"",
""prompt"": ""A bamboo forest path under moonlight"",
""size"": ""1:1"",
""n"": 1,
""resolution"": ""2K""
}";
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-pro-image-preview\","
"\"prompt\":\"A bamboo forest path under moonlight\","
"\"size\":\"1:1\","
"\"n\":1,"
"\"resolution\":\"2K\""
"}";
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-pro-image-preview",
@"prompt": @"A bamboo forest path under moonlight",
@"size": @"1:1",
@"n": @1,
@"resolution": @"2K"
};
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}|}
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-pro-image-preview',
'prompt': 'A bamboo forest path under moonlight',
'size': '1:1',
'n': 1,
'resolution': '1K'
};
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-pro-image-preview",
prompt = "A bamboo forest path under moonlight",
size = "1:1",
n = 1,
resolution = "1K"
)
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": "Authentication failed, please check your API key",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient account balance, please recharge",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "Access forbidden, you do not have permission to access this resource",
"type": "permission_error"
}
}
{
"error": {
"code": 429,
"message": "Too many requests, 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": "Gateway error, server temporarily unavailable",
"type": "bad_gateway"
}
}
Nano banana Pro
Nano banana Pro Generación de imágenes
- Modo de procesamiento asíncrono, devuelve un ID de tarea para consultas posteriores
- Generación de imágenes de alta calidad, creación de imágenes de nivel profesional
- Los enlaces de las imágenes generadas son válidos durante 24 horas; guárdelos cuanto antes
POST
/
v1
/
images
/
generations
# El campo model puede ser "gemini-3-pro-image-preview" o el alias compatible "nano-banana-pro-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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "gemini-3-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}
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-pro-image-preview",
prompt: "A bamboo forest path under moonlight",
size: "1:1",
n: 1,
resolution: "2K"
};
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K",
}
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}
""";
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-pro-image-preview",
"prompt" => "A bamboo forest path under moonlight",
"size" => "1:1",
"n" => 1,
"resolution" => "2K"
];
$ch = curl_init($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-pro-image-preview",
prompt: "A bamboo forest path under moonlight",
size: "1:1",
n: 1,
resolution: "2K"
}
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
]
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-pro-image-preview"",
""prompt"": ""A bamboo forest path under moonlight"",
""size"": ""1:1"",
""n"": 1,
""resolution"": ""2K""
}";
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-pro-image-preview\","
"\"prompt\":\"A bamboo forest path under moonlight\","
"\"size\":\"1:1\","
"\"n\":1,"
"\"resolution\":\"2K\""
"}";
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-pro-image-preview",
@"prompt": @"A bamboo forest path under moonlight",
@"size": @"1:1",
@"n": @1,
@"resolution": @"2K"
};
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}|}
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-pro-image-preview',
'prompt': 'A bamboo forest path under moonlight',
'size': '1:1',
'n': 1,
'resolution': '1K'
};
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-pro-image-preview",
prompt = "A bamboo forest path under moonlight",
size = "1:1",
n = 1,
resolution = "1K"
)
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": "Authentication failed, please check your API key",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient account balance, please recharge",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "Access forbidden, you do not have permission to access this resource",
"type": "permission_error"
}
}
{
"error": {
"code": 429,
"message": "Too many requests, 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": "Gateway error, server temporarily unavailable",
"type": "bad_gateway"
}
}
Aviso de compatibilidad de nombres de modelo: Esta interfaz también admite el alias
nano-banana-pro-ext, equivalente a gemini-3-pro-image-preview; ambos son intercambiables y producen los mismos resultados.# El campo model puede ser "gemini-3-pro-image-preview" o el alias compatible "nano-banana-pro-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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "gemini-3-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}
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-pro-image-preview",
prompt: "A bamboo forest path under moonlight",
size: "1:1",
n: 1,
resolution: "2K"
};
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K",
}
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}
""";
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-pro-image-preview",
"prompt" => "A bamboo forest path under moonlight",
"size" => "1:1",
"n" => 1,
"resolution" => "2K"
];
$ch = curl_init($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-pro-image-preview",
prompt: "A bamboo forest path under moonlight",
size: "1:1",
n: 1,
resolution: "2K"
}
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
]
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-pro-image-preview"",
""prompt"": ""A bamboo forest path under moonlight"",
""size"": ""1:1"",
""n"": 1,
""resolution"": ""2K""
}";
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-pro-image-preview\","
"\"prompt\":\"A bamboo forest path under moonlight\","
"\"size\":\"1:1\","
"\"n\":1,"
"\"resolution\":\"2K\""
"}";
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-pro-image-preview",
@"prompt": @"A bamboo forest path under moonlight",
@"size": @"1:1",
@"n": @1,
@"resolution": @"2K"
};
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-pro-image-preview",
"prompt": "A bamboo forest path under moonlight",
"size": "1:1",
"n": 1,
"resolution": "1K"
}|}
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-pro-image-preview',
'prompt': 'A bamboo forest path under moonlight',
'size': '1:1',
'n': 1,
'resolution': '1K'
};
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-pro-image-preview",
prompt = "A bamboo forest path under moonlight",
size = "1:1",
n = 1,
resolution = "1K"
)
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": "Authentication failed, please check your API key",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient account balance, please recharge",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "Access forbidden, you do not have permission to access this resource",
"type": "permission_error"
}
}
{
"error": {
"code": 429,
"message": "Too many requests, 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": "Gateway error, server temporarily unavailable",
"type": "bad_gateway"
}
}
Autorizaciones
string
requerido
Todas las API requieren autenticación con Bearer TokenObtener API Key:Visite la página de gestión de API Keys para obtener su API KeyAñadir al encabezado de la solicitud:
Authorization: Bearer YOUR_API_KEY
Body
string
predeterminado:"gemini-3-pro-image-preview"
requerido
Nombre del modelo de generación de imágenesModelos compatibles:
gemini-3-pro-image-preview- Versión estándar (alias compatiblenano-banana-pro-ext)gemini-3-pro-image-preview-official- Versión oficial (alias compatiblenano-banana-pro)
"gemini-3-pro-image-preview" o "gemini-3-pro-image-preview-official"Para mantener la compatibilidad con llamadas anteriores, los alias
nano-banana-pro-ext (corresponde a gemini-3-pro-image-preview) y nano-banana-pro (corresponde a gemini-3-pro-image-preview-official) siguen estando disponibles.boolean
predeterminado:"false"
Indica si se debe moderar el contenido antes de enviar la tarea de imagen.
true: revisar los prompts y las imágenes de entrada conomni-moderation-latestfalseu omitido: no enviar una solicitud de moderación, sin coste ni latencia de moderación adicionales (predeterminado)
string
requerido
Descripción textual para la generación de la imagen
string
Tamaño de generación de la imagenFormatos compatibles:
- Proporciones:
auto,1:1,2:3,3:2,3:4,4:3,4:5,5:4,9:16,16:9,21:9
En texto a imagen, cuando
size es auto, el valor predeterminado es 1:1 o 16:9; en imagen a imagen, la proporción sigue la respuesta del upstream. Se recomienda especificar una proporción.integer
Número de imágenes a generarRango: 1Predeterminado: 1⚠️ Nota: Debe ser un número puro (p. ej.
1), no añada comillas o se producirá un errorstring
Resolución de la imagen de salidaValores compatibles:
1K- Resolución 1K (predeterminado)2K- Resolución 2K4K- Resolución 4K
boolean
predeterminado:"false"
Si se debe usar el canal oficial como fallback
false: No usar (predeterminado)true: Usar el canal oficial
Cuando se usa el canal oficial (
gemini-3-pro-image-preview-official), este parámetro no puede usarse.array
Lista de URLs de imágenes de referencia para imagen a imagen o edición de imagen💡 Relleno rápido (área Try it):
Límite: Máximo 14 imágenes
- Haga clic en ”+ Add an item” para añadir una URL de imagen
- Introduzca la URL completa de la imagen o los datos base64
Mostrar Descripción detallada del campo
Mostrar Descripción detallada del campo
Cada elemento del array es una cadena, admitiendo dos formatos:1. URL completa de la imagen
- URL de imagen accesible públicamente (http:// o https://)
- Ejemplo:
"https://example.com/image.jpg"
- Debe usar el formato completo Data URI
- Formato:
data:image/{format};base64,{base64data} - Formatos de imagen compatibles: jpeg, png, webp, etc.
- Ejemplo:
"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg..." - ⚠️ Nota: Debe incluir el prefijo
data:image/jpeg;base64,
- Cada imagen no debe superar 30MB
- Formatos compatibles: .jpeg, .jpg, .png, .webp
Response
integer
Código de estado de la respuesta
⌘I