> ## 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.

# Grok Imagine Image 2.0 Image Generation and Editing

> - Asynchronous image generation; retrieve results through the task query API after submission
- Supports text-to-image, image-to-image, and image editing
- Supports 1K / 2K, Low / Medium quality, and up to 10 output images
- Supports up to 3 reference images and 14 aspect ratio options
- Submitted prompts are subject to platform sensitive word / safety review, and violating content will be directly rejected


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 header:

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

## Body

<ParamField body="model" type="string" required>
  Model name, fixed value: `"grok_imagine_image_2_0"`.
</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. Chinese and English are supported.

      When using multiple reference images, you can use `<IMAGE_0>`, `<IMAGE_1>`, and `<IMAGE_2>` in the prompt to refer to the corresponding images.
    </ParamField>

    <ParamField body="image_url" type="string[]">
      Array of reference images. If omitted, text-to-image is used; after passing it in, image-to-image or image editing mode is used automatically.

      * Up to 3 images
      * Maximum 10MB per image
      * JPG, PNG, and WebP are supported
      * Public URLs, full Base64 Data URIs, or raw Base64 are supported

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

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

      * `auto` (default)
      * `1:1`
      * `4:3` / `3:4`
      * `3:2` / `2:3`
      * `16:9` / `9:16`
      * `2:1` / `1:2`
      * `19.5:9` / `9:19.5`
      * `20:9` / `9:20`

      Custom `WIDTHxHEIGHT` pixel dimensions are not supported.
    </ParamField>

    <ParamField body="resolution" type="string" default="1K">
      Output resolution tier: `1K` (default) or `2K`. `4K` is not supported.
    </ParamField>

    <ParamField body="quality" type="string" default="medium">
      Generation quality tier:

      * `low` - faster and lower cost
      * `medium` - better detail (default)
    </ParamField>

    <ParamField body="output_n" type="integer" default="1">
      Number of output images, ranging from `1` to `10`. Each image is billed separately.
    </ParamField>
  </Expandable>
</ParamField>

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

  * Length: 1-64 characters
  * Only letters, numbers, underscores, and hyphens are supported
  * Cannot be reused under the same API Key
</ParamField>

## Query Results

After submission succeeds, call [Get Task Status](/en/api-reference/tasks/status) using the same `out_task_id` to query. Once the task is completed, the image results are 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": "grok_imagine_image_2_0",
      "params": {
        "prompt": "Tokyo streets on a rainy night, neon lights reflecting on the wet pavement, cinematic photography",
        "aspect_ratio": "16:9",
        "resolution": "2K",
        "quality": "medium",
        "output_n": 1
      },
      "out_task_id": "grok_image_2_text_001"
    }'
  ```

  ```bash cURL（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": "grok_imagine_image_2_0",
      "params": {
        "prompt": "Place the person in <IMAGE_0> into the scene of <IMAGE_1> while keeping the lighting consistent",
        "image_url": [
          "https://example.com/person.png",
          "https://example.com/scene.png"
        ],
        "aspect_ratio": "16:9",
        "resolution": "1K",
        "quality": "medium",
        "output_n": 1
      },
      "out_task_id": "grok_image_2_edit_001"
    }'
  ```

  ```javascript JavaScript theme={null}
  const response = await fetch("https://aireiter.com/api/openapi/submit", {
    method: "POST",
    headers: {
      Authorization: "Bearer <token>",
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "grok_imagine_image_2_0",
      params: {
        prompt: "A blue ceramic cup in a minimalist white studio, soft product lighting",
        aspect_ratio: "1:1",
        resolution: "1K",
        quality: "low",
        output_n: 1
      },
      out_task_id: "grok_image_2_js_001"
    })
  });

  console.log(await response.json());
  ```
</RequestExample>

## Query Results

After a successful submission, call [Get Task Status](/en/api-reference/tasks/status) with the same `out_task_id` to query it. Once the task is completed, the image results are 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": "grok_imagine_image_2_0",
      "params": {
        "prompt": "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
        "aspect_ratio": "16:9",
        "resolution": "2K",
        "quality": "medium",
        "output_n": 1
      },
      "out_task_id": "grok_image_2_text_001"
    }'
  ```

  ```bash cURL (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": "grok_imagine_image_2_0",
      "params": {
        "prompt": "Place the person from <IMAGE_0> into the scene of <IMAGE_1>, and keep the lighting consistent",
        "image_url": [
          "https://example.com/person.png",
          "https://example.com/scene.png"
        ],
        "aspect_ratio": "16:9",
        "resolution": "1K",
        "quality": "medium",
        "output_n": 1
      },
      "out_task_id": "grok_image_2_edit_001"
    }'
  ```

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

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

  payload = {
      "model": "grok_imagine_image_2_0",
      "params": {
          "prompt": "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
          "aspect_ratio": "16:9",
          "resolution": "2K",
          "quality": "medium",
          "output_n": 1
      },
      "out_task_id": "grok_image_2_text_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: "grok_imagine_image_2_0",
    params: {
      prompt: "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
      aspect_ratio: "16:9",
      resolution: "2K",
      quality: "medium",
      output_n: 1
    },
    out_task_id: "grok_image_2_text_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": "grok_imagine_image_2_0",
          "params": map[string]interface{}{
              "prompt": "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
              "aspect_ratio": "16:9",
              "resolution": "2K",
              "quality": "medium",
              "output_n": 1,
          },
          "out_task_id": "grok_image_2_text_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": "grok_imagine_image_2_0",
                "params": {
                  "prompt": "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
                  "aspect_ratio": "16:9",
                  "resolution": "2K",
                  "quality": "medium",
                  "output_n": 1
                },
                "out_task_id": "grok_image_2_text_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" => "grok_imagine_image_2_0",
      "params" => [
          "prompt" => "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
          "aspect_ratio" => "16:9",
          "resolution" => "2K",
          "quality" => "medium",
          "output_n" => 1
      ],
      "out_task_id" => "grok_image_2_text_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: "grok_imagine_image_2_0",
    params: {
      prompt: "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
      aspect_ratio: "16:9",
      resolution: "2K",
      quality: "medium",
      output_n: 1
    },
    out_task_id: "grok_image_2_text_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": "grok_imagine_image_2_0",
      "params": [
          "prompt": "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
          "aspect_ratio": "16:9",
          "resolution": "2K",
          "quality": "medium",
          "output_n": 1
      ],
      "out_task_id": "grok_image_2_text_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"": ""grok_imagine_image_2_0"",
                    ""params"": {
                        ""prompt"": ""Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography"",
                        ""aspect_ratio"": ""16:9"",
                        ""resolution"": ""2K"",
                        ""quality"": ""medium"",
                        ""output_n"": 1
                    },
                    ""out_task_id"": ""grok_image_2_text_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\":\"grok_imagine_image_2_0\",\"params\":{\"prompt\":\"Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography\",\"aspect_ratio\":\"16:9\",\"resolution\":\"2K\",\"quality\":\"medium\",\"output_n\":1},\"out_task_id\":\"grok_image_2_text_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": @"grok_imagine_image_2_0",
              @"params": @{
                  @"prompt": @"Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
                  @"aspect_ratio": @"16:9",
                  @"resolution": @"2K",
                  @"quality": @"medium",
                  @"output_n": @1
              },
              @"out_task_id": @"grok_image_2_text_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": "grok_imagine_image_2_0",
    "params": {
      "prompt": "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
      "aspect_ratio": "16:9",
      "resolution": "2K",
      "quality": "medium",
      "output_n": 1
    },
    "out_task_id": "grok_image_2_text_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": "grok_imagine_image_2_0",
          "params": {
              "prompt": "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
              "aspect_ratio": "16:9",
              "resolution": "2K",
              "quality": "medium",
              "output_n": 1
          },
          "out_task_id": "grok_image_2_text_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 = "grok_imagine_image_2_0",
    params = list(
      prompt = "Tokyo street at night in the rain, neon lights reflecting on wet pavement, cinematic photography",
      aspect_ratio = "16:9",
      resolution = "2K",
      quality = "medium",
      output_n = 1
    ),
    out_task_id = "grok_image_2_text_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": "grok_image_2_text_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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