> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aireiter.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Qwen Image 3.0 Pro Image Generation and Editing

> - Suitable for posters, text layout, menus, infographics, and high-detail image editing
- Asynchronous processing mode, returns a task ID for later querying
- Supports text-to-image, up to 3 reference images, and generating 1-6 images at a time
- Supports 1K / 2K resolutions and 7 common image aspect ratios
- Submitted prompts will go through platform sensitive word / safety review, and violating content will be rejected directly


export const apiKeyUrl = 'https://aireiter.com/keys';

## Authorizations

<ParamField header="Authorization" type="string" required>
  All endpoints require Bearer Token authentication.

  Visit the <a href={apiKeyUrl} target="_blank">API Key management page</a> to get your API Key, and add the following to the request headers:

  ```text theme={null}
  Authorization: Bearer YOUR_API_KEY
  ```
</ParamField>

## Body

<ParamField body="model" type="string" required>
  Model name, fixed value: `"qwen_image_3_pro"`.
</ParamField>

<ParamField body="params" type="object" required>
  Model parameters object.

  <Expandable title="params Object Properties">
    <ParamField body="prompt" type="string" required>
      Image generation or editing instructions. Supports both Chinese and English.

      The Pro model is suitable for tasks that require readable text, complex hierarchy, dense layouts, and high-detail rendering. It is recommended to clearly describe the text content, font style, hierarchy, position, whitespace, and reference image features that need to be preserved.
    </ParamField>

    <ParamField body="image_url" type="string[]">
      Array of reference images. When provided, image-to-image mode is used; when omitted, text-to-image mode is used.

      * Up to 3 reference images
      * Maximum 10MB per image
      * Supports jpeg, png, webp
      * Supports publicly accessible URLs or complete Base64 Data URIs

      <Warning>
        The image URL must be directly accessible from the public internet and cannot rely on login status, cookies, or temporary page authorization.
      </Warning>
    </ParamField>

    <ParamField body="resolution" type="string" default="1K">
      Output resolution tier.

      * `1K` - Base resolution (default)
      * `2K` - High-definition resolution, suitable for text, posters, and dense layouts
    </ParamField>

    <ParamField body="aspect_ratio" type="string" default="1:1">
      Output image aspect ratio.

      Supports the following values:

      * `1:1` - Square (default)
      * `3:2` / `2:3` - Classic landscape / portrait
      * `4:3` / `3:4` - Standard landscape / portrait
      * `16:9` / `9:16` - Widescreen landscape / portrait
    </ParamField>

    <ParamField body="output_n" type="integer" default="1">
      Number of images generated for this task, ranging from `1` to `6`.
    </ParamField>

    <ParamField body="prompt_extend" type="boolean" default="false">
      Intelligent prompt rewriting. Disabled by default to ensure predictable results. Set to `true` when intelligent rewriting is needed.
    </ParamField>

    <ParamField body="prompt_extend_mode" type="string" default="direct">
      Prompt rewriting mode. Effective only when `prompt_extend` is `true`.

      * `direct` - Balanced rewriting, supports both text-to-image and image-to-image
      * `agent` - Aggressive rewriting, supports text-to-image only
    </ParamField>

    <ParamField body="negative_prompt" type="string">
      Negative prompt, used to describe content that should not appear in the result, such as blur, garbled text, crowded layouts, or distorted structures.
    </ParamField>
  </Expandable>
</ParamField>

<ParamField body="out_task_id" type="string" required>
  Caller-defined task ID, used for idempotent submission and result querying.

  * Length of 1-64 characters
  * Recommended to use only letters, numbers, underscores, and hyphens
  * Do not reuse the same value under the same API Key
</ParamField>

## Response

<ResponseField name="out_task_id" type="string">
  Caller task ID, which can be used to query the task status and result.
</ResponseField>

<ResponseField name="status" type="string">
  Initial status, usually `"pending"`.
</ResponseField>

<ResponseField name="created_at" type="string">
  Task creation time, in ISO 8601 format.
</ResponseField>

## Query Results

After a successful submission, call the query endpoint using the same `out_task_id`:

```bash theme={null}
curl --request POST \
  --url https://aireiter.com/api/openapi/query \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "out_task_id": "qwen_image_3_pro_task_001"
  }'
```

Task statuses include `pending`, `processing`, `completed`, and `failed`. After the task is completed, the image array is located in `data.output`.

<RequestExample>
  ```bash cURL（Text to Image） theme={null}
  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": "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
        "resolution": "2K",
        "aspect_ratio": "3:4",
        "output_n": 1,
        "prompt_extend": true,
        "prompt_extend_mode": "agent",
        "negative_prompt": "garbled text, blur, cramped layout, watermark"
      },
      "out_task_id": "qwen_image_3_pro_task_001"
    }'
  ```

  ```bash cURL（Multi-reference Image Editing） theme={null}
  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": "Use the product subject from the first image, the color palette from the second image, and the layout from the third image to generate a premium landscape ad while keeping the label text clear",
        "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"
    }'
  ```

  ```python Python theme={null}
  import requests

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

  payload = {
      "model": "qwen_image_3_pro",
      "params": {
          "prompt": "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
          "resolution": "2K",
          "aspect_ratio": "3:4",
          "output_n": 1,
          "prompt_extend": True,
          "prompt_extend_mode": "agent",
          "negative_prompt": "garbled text, blur, cramped layout, watermark"
      },
      "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())
  ```

  ```javascript JavaScript theme={null}
  const url = "https://aireiter.com/api/openapi/submit";

  const payload = {
    model: "qwen_image_3_pro",
    params: {
      prompt: "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
      resolution: "2K",
      aspect_ratio: "3:4",
      output_n: 1,
      prompt_extend: true,
      prompt_extend_mode: "agent",
      negative_prompt: "garbled text, blur, cramped layout, watermark"
    },
    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));
  ```

  ```go Go theme={null}
  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": "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
              "resolution": "2K",
              "aspect_ratio": "3:4",
              "output_n": 1,
              "prompt_extend": true,
              "prompt_extend_mode": "agent",
              "negative_prompt": "garbled text, blur, cramped layout, watermark",
          },
          "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))
  }
  ```

  ```java Java theme={null}
  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": "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
                  "resolution": "2K",
                  "aspect_ratio": "3:4",
                  "output_n": 1,
                  "prompt_extend": true,
                  "prompt_extend_mode": "agent",
                  "negative_prompt": "garbled text, blur, cramped layout, watermark"
                },
                "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 PHP theme={null}
  <?php

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

  $payload = [
      "model" => "qwen_image_3_pro",
      "params" => [
          "prompt" => "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
          "resolution" => "2K",
          "aspect_ratio" => "3:4",
          "output_n" => 1,
          "prompt_extend" => true,
          "prompt_extend_mode" => "agent",
          "negative_prompt" => "garbled text, blur, cramped layout, watermark"
      ],
      "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;
  ?>
  ```

  ```ruby Ruby theme={null}
  require 'net/http'
  require 'json'
  require 'uri'

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

  payload = {
    model: "qwen_image_3_pro",
    params: {
      prompt: "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
      resolution: "2K",
      aspect_ratio: "3:4",
      output_n: 1,
      prompt_extend: true,
      prompt_extend_mode: "agent",
      negative_prompt: "garbled text, blur, cramped layout, watermark"
    },
    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
  ```

  ```swift Swift theme={null}
  import Foundation

  let url = URL(string: "https://aireiter.com/api/openapi/submit")!

  let payload: [String: Any] = [
      "model": "qwen_image_3_pro",
      "params": [
          "prompt": "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
          "resolution": "2K",
          "aspect_ratio": "3:4",
          "output_n": 1,
          "prompt_extend": true,
          "prompt_extend_mode": "agent",
          "negative_prompt": "garbled text, blur, cramped layout, watermark"
      ],
      "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()
  ```

  ```csharp C# theme={null}
  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"": ""Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography"",
                        ""resolution"": ""2K"",
                        ""aspect_ratio"": ""3:4"",
                        ""output_n"": 1,
                        ""prompt_extend"": true,
                        ""prompt_extend_mode"": ""agent"",
                        ""negative_prompt"": ""garbled text, blur, cramped layout, watermark""
                    },
                    ""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);
      }
  }
  ```

  ```c C theme={null}
  #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\":\"Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography\",\"resolution\":\"2K\",\"aspect_ratio\":\"3:4\",\"output_n\":1,\"prompt_extend\":true,\"prompt_extend_mode\":\"agent\",\"negative_prompt\":\"garbled text, blur, cramped layout, watermark\"},\"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;
  }
  ```

  ```objectivec Objective-C theme={null}
  #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": @"Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
                  @"resolution": @"2K",
                  @"aspect_ratio": @"3:4",
                  @"output_n": @1,
                  @"prompt_extend": @YES,
                  @"prompt_extend_mode": @"agent",
                  @"negative_prompt": @"garbled text, blur, cramped layout, watermark"
              },
              @"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;
  }
  ```

  ```ocaml OCaml theme={null}
  (* 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": "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
      "resolution": "2K",
      "aspect_ratio": "3:4",
      "output_n": 1,
      "prompt_extend": true,
      "prompt_extend_mode": "agent",
      "negative_prompt": "garbled text, blur, cramped layout, watermark"
    },
    "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
  ```

  ```dart Dart theme={null}
  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": "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
              "resolution": "2K",
              "aspect_ratio": "3:4",
              "output_n": 1,
              "prompt_extend": true,
              "prompt_extend_mode": "agent",
              "negative_prompt": "garbled text, blur, cramped layout, watermark"
          },
          "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);
  }
  ```

  ```r R theme={null}
  library(httr)
  library(jsonlite)

  url <- "https://aireiter.com/api/openapi/submit"

  payload <- list(
    model = "qwen_image_3_pro",
    params = list(
      prompt = "Design a vertical menu poster for a specialty coffee shop, with the title MORNING ROAST, clearly readable price tiers, modern editorial typography, and realistic coffee photography",
      resolution = "2K",
      aspect_ratio = "3:4",
      output_n = 1,
      prompt_extend = TRUE,
      prompt_extend_mode = "agent",
      negative_prompt = "garbled text, blur, cramped layout, watermark"
    ),
    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"))
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  {
    "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"
    }
  }
  ```

  ```json 400 theme={null}
    {
        "statusCode": 400,
        "message": "Invalid request parameters",
        "ok": false
    }
  ```

  ```json 401 theme={null}
  {
    "error": {
      "code": 401,
      "message": "Authentication failed, please check your API key"
    }
  }
  ```

  ```json 433 theme={null}
    {
      "error": {
        "code": 433,
        "message": "Insufficient account balance, please top up and try again"
      }
    }
  ```

  ```json 500 theme={null}
  {
    "error": {
      "code": 500,
      "message": "Internal server error, please try again later"
    }
  }
  ```
</ResponseExample>


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