curl --request POST \
  --url https://aireiter.com/api/openapi/submit \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "qwen_image_3_pro",
    "params": {
      "prompt": "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
      "resolution": "2K",
      "aspect_ratio": "3:4",
      "output_n": 1,
      "prompt_extend": true,
      "prompt_extend_mode": "agent",
      "negative_prompt": "文字乱码，模糊，布局拥挤，水印"
    },
    "out_task_id": "qwen_image_3_pro_task_001"
  }'

curl --request POST \
  --url https://aireiter.com/api/openapi/submit \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "qwen_image_3_pro",
    "params": {
      "prompt": "使用第一张图的商品主体、第二张图的配色和第三张图的版式，生成高级横版广告，保持标签文字清晰",
      "image_url": [
        "https://example.com/product.png",
        "https://example.com/color-reference.png",
        "https://example.com/layout-reference.png"
      ],
      "resolution": "2K",
      "aspect_ratio": "16:9",
      "output_n": 1
    },
    "out_task_id": "qwen_image_3_pro_edit_001"
  }'

import requests

url = "https://aireiter.com/api/openapi/submit"

payload = {
    "model": "qwen_image_3_pro",
    "params": {
        "prompt": "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
        "resolution": "2K",
        "aspect_ratio": "3:4",
        "output_n": 1,
        "prompt_extend": True,
        "prompt_extend_mode": "agent",
        "negative_prompt": "文字乱码，模糊，布局拥挤，水印"
    },
    "out_task_id": "qwen_image_3_pro_task_001"
}

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

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

print(response.json())

const url = "https://aireiter.com/api/openapi/submit";

const payload = {
  model: "qwen_image_3_pro",
  params: {
    prompt: "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
    resolution: "2K",
    aspect_ratio: "3:4",
    output_n: 1,
    prompt_extend: true,
    prompt_extend_mode: "agent",
    negative_prompt: "文字乱码，模糊，布局拥挤，水印"
  },
  out_task_id: "qwen_image_3_pro_task_001"
};

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://aireiter.com/api/openapi/submit"

    payload := map[string]interface{}{
        "model": "qwen_image_3_pro",
        "params": map[string]interface{}{
            "prompt": "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
            "resolution": "2K",
            "aspect_ratio": "3:4",
            "output_n": 1,
            "prompt_extend": true,
            "prompt_extend_mode": "agent",
            "negative_prompt": "文字乱码，模糊，布局拥挤，水印",
        },
        "out_task_id": "qwen_image_3_pro_task_001",
    }

    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://aireiter.com/api/openapi/submit";

        String payload = """
            {
              "model": "qwen_image_3_pro",
              "params": {
                "prompt": "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
                "resolution": "2K",
                "aspect_ratio": "3:4",
                "output_n": 1,
                "prompt_extend": true,
                "prompt_extend_mode": "agent",
                "negative_prompt": "文字乱码，模糊，布局拥挤，水印"
              },
              "out_task_id": "qwen_image_3_pro_task_001"
            }
        """;

        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://aireiter.com/api/openapi/submit";

$payload = [
    "model" => "qwen_image_3_pro",
    "params" => [
        "prompt" => "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
        "resolution" => "2K",
        "aspect_ratio" => "3:4",
        "output_n" => 1,
        "prompt_extend" => true,
        "prompt_extend_mode" => "agent",
        "negative_prompt" => "文字乱码，模糊，布局拥挤，水印"
    ],
    "out_task_id" => "qwen_image_3_pro_task_001"
];

$ch = curl_init($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://aireiter.com/api/openapi/submit")

payload = {
  model: "qwen_image_3_pro",
  params: {
    prompt: "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
    resolution: "2K",
    aspect_ratio: "3:4",
    output_n: 1,
    prompt_extend: true,
    prompt_extend_mode: "agent",
    negative_prompt: "文字乱码，模糊，布局拥挤，水印"
  },
  out_task_id: "qwen_image_3_pro_task_001"
}

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

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://aireiter.com/api/openapi/submit")!

let payload: [String: Any] = [
    "model": "qwen_image_3_pro",
    "params": [
        "prompt": "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
        "resolution": "2K",
        "aspect_ratio": "3:4",
        "output_n": 1,
        "prompt_extend": true,
        "prompt_extend_mode": "agent",
        "negative_prompt": "文字乱码，模糊，布局拥挤，水印"
    ],
    "out_task_id": "qwen_image_3_pro_task_001"
]

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://aireiter.com/api/openapi/submit";

        var payload = @"
              {
                  ""model"": ""qwen_image_3_pro"",
                  ""params"": {
                      ""prompt"": ""为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影"",
                      ""resolution"": ""2K"",
                      ""aspect_ratio"": ""3:4"",
                      ""output_n"": 1,
                      ""prompt_extend"": true,
                      ""prompt_extend_mode"": ""agent"",
                      ""negative_prompt"": ""文字乱码，模糊，布局拥挤，水印""
                  },
                  ""out_task_id"": ""qwen_image_3_pro_task_001""
              }";

        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://aireiter.com/api/openapi/submit";
        const char *payload = "{\"model\":\"qwen_image_3_pro\",\"params\":{\"prompt\":\"为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影\",\"resolution\":\"2K\",\"aspect_ratio\":\"3:4\",\"output_n\":1,\"prompt_extend\":true,\"prompt_extend_mode\":\"agent\",\"negative_prompt\":\"文字乱码，模糊，布局拥挤，水印\"},\"out_task_id\":\"qwen_image_3_pro_task_001\"}";

        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://aireiter.com/api/openapi/submit"];

        NSDictionary *payload = @{
            @"model": @"qwen_image_3_pro",
            @"params": @{
                @"prompt": @"为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
                @"resolution": @"2K",
                @"aspect_ratio": @"3:4",
                @"output_n": @1,
                @"prompt_extend": @YES,
                @"prompt_extend_mode": @"agent",
                @"negative_prompt": @"文字乱码，模糊，布局拥挤，水印"
            },
            @"out_task_id": @"qwen_image_3_pro_task_001"
        };

        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://aireiter.com/api/openapi/submit"

let payload = {|{
  "model": "qwen_image_3_pro",
  "params": {
    "prompt": "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
    "resolution": "2K",
    "aspect_ratio": "3:4",
    "output_n": 1,
    "prompt_extend": true,
    "prompt_extend_mode": "agent",
    "negative_prompt": "文字乱码，模糊，布局拥挤，水印"
  },
  "out_task_id": "qwen_image_3_pro_task_001"
}|}

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://aireiter.com/api/openapi/submit');

  final payload = {
        "model": "qwen_image_3_pro",
        "params": {
            "prompt": "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
            "resolution": "2K",
            "aspect_ratio": "3:4",
            "output_n": 1,
            "prompt_extend": true,
            "prompt_extend_mode": "agent",
            "negative_prompt": "文字乱码，模糊，布局拥挤，水印"
        },
        "out_task_id": "qwen_image_3_pro_task_001"
    };

  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://aireiter.com/api/openapi/submit"

payload <- list(
  model = "qwen_image_3_pro",
  params = list(
    prompt = "为精品咖啡店设计一张竖版菜单海报，标题为 MORNING ROAST，清晰可读的价格层级，现代编辑排版，真实咖啡摄影",
    resolution = "2K",
    aspect_ratio = "3:4",
    output_n = 1,
    prompt_extend = TRUE,
    prompt_extend_mode = "agent",
    negative_prompt = "文字乱码，模糊，布局拥挤，水印"
  ),
  out_task_id = "qwen_image_3_pro_task_001"
)

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

cat(content(response, "text"))

{
  "statusCode": 200,
  "message": "",
  "data": {
      "out_task_id": "qwen_image_3_pro_task_001",
      "status": "pending",
      "estimated_credits": 100,
      "created_at": "2025-12-22T06:03:28.242Z"
  }
}

  {
      "statusCode": 400,
      "message": "请求参数无效",
      "ok": false
  }

{
  "error": {
    "code": 401,
    "message": "身份验证失败，请检查您的API密钥"
  }
}

  {
    "error": {
      "code": 433,
      "message": "账户余额不足，请充值后再试"
    }
  }

{
  "error": {
    "code": 500,
    "message": "服务器内部错误，请稍后重试"
  }
}