# 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