# El campo model puede ser "gemini-2.5-flash-image-preview" o el alias compatible "nano-banana-ext"
curl --request POST \
  --url https://api.apimart.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gemini-2.5-flash-image-preview",
    "prompt": "A bamboo forest path under moonlight",
    "size": "1:1",
    "n": 1,
    "image_urls": [
      "https://openai-documentation.vercel.app/images/cat_and_otter.png"
    ]
  }'

import requests

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

payload = {
    "model": "gemini-2.5-flash-image-preview",
    "prompt": "A bamboo forest path under moonlight",
    "size": "1:1",
    "n": 1,
    "image_urls": [
        "https://openai-documentation.vercel.app/images/cat_and_otter.png"
    ]
}

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-2.5-flash-image-preview",
  prompt: "A bamboo forest path under moonlight",
  size: "1:1",
  n: 1,
  image_urls: [
    "https://openai-documentation.vercel.app/images/cat_and_otter.png"
  ]
};

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-2.5-flash-image-preview",
        "prompt": "A bamboo forest path under moonlight",
        "size":   "1:1",
        "n":      1,
        "image_urls": []string{
            "https://openai-documentation.vercel.app/images/cat_and_otter.png",
        },
    }

    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-2.5-flash-image-preview",
          "prompt": "A bamboo forest path under moonlight",
          "size": "1:1",
          "n": 1,
          "image_urls": [
            "https://openai-documentation.vercel.app/images/cat_and_otter.png"
          ]
        }
        """;

        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-2.5-flash-image-preview",
    "prompt" => "A bamboo forest path under moonlight",
    "size" => "1:1",
    "n" => 1,
    "image_urls" => [
        "https://openai-documentation.vercel.app/images/cat_and_otter.png"
    ]
];

$ch = curl_init($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-2.5-flash-image-preview",
  prompt: "A bamboo forest path under moonlight",
  size: "1:1",
  n: 1,
  image_urls: [
    "https://openai-documentation.vercel.app/images/cat_and_otter.png"
  ]
}

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-2.5-flash-image-preview",
    "prompt": "A bamboo forest path under moonlight",
    "size": "1:1",
    "n": 1,
    "image_urls": [
        "https://openai-documentation.vercel.app/images/cat_and_otter.png"
    ]
]

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-2.5-flash-image-preview"",
            ""prompt"": ""A bamboo forest path under moonlight"",
            ""size"": ""1:1"",
            ""n"": 1,
            ""image_urls"": [
                ""https://openai-documentation.vercel.app/images/cat_and_otter.png""
            ]
        }";

        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-2.5-flash-image-preview\","
            "\"prompt\":\"A bamboo forest path under moonlight\","
            "\"size\":\"1:1\","
            "\"n\":1,"
            "\"image_urls\":[\"https://openai-documentation.vercel.app/images/cat_and_otter.png\"]"
        "}";

        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-2.5-flash-image-preview",
            @"prompt": @"A bamboo forest path under moonlight",
            @"size": @"1:1",
            @"n": @1,
            @"image_urls": @[
                @"https://openai-documentation.vercel.app/images/cat_and_otter.png"
            ]
        };
        
        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-2.5-flash-image-preview",
  "prompt": "A bamboo forest path under moonlight",
  "size": "1:1",
  "n": 1,
  "image_urls": [
    "https://openai-documentation.vercel.app/images/cat_and_otter.png"
  ]
}|}

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-2.5-flash-image-preview',
    'prompt': 'A bamboo forest path under moonlight',
    'size': '1:1',
    'n': 1,
    'image_urls': [
      'https://openai-documentation.vercel.app/images/cat_and_otter.png'
    ]
  };
  
  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-2.5-flash-image-preview",
  prompt = "A bamboo forest path under moonlight",
  size = "1:1",
  n = 1,
  image_urls = list(
    "https://openai-documentation.vercel.app/images/cat_and_otter.png"
  )
)

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"
  }
}