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"
  }'

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"
  }'

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());

{
  "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"
  }
}

  {
      "statusCode": 400,
      "message": "Invalid request parameters",
      "ok": false
  }

{
  "error": {
    "code": 401,
    "message": "Authentication failed, please check your API key"
  }
}

  {
    "error": {
      "code": 433,
      "message": "Insufficient account balance, please top up and try again"
    }
  }

{
  "error": {
    "code": 500,
    "message": "Internal server error, please try again later"
  }
}

Grok Imagine Image 2.0

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

POST

api

openapi

submit

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"
  }'

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"
  }'

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());

{
  "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"
  }
}

  {
      "statusCode": 400,
      "message": "Invalid request parameters",
      "ok": false
  }

{
  "error": {
    "code": 401,
    "message": "Authentication failed, please check your API key"
  }
}

  {
    "error": {
      "code": 433,
      "message": "Insufficient account balance, please top up and try again"
    }
  }

{
  "error": {
    "code": 500,
    "message": "Internal server error, please try again later"
  }
}

Authorizations

string

required

All endpoints require Bearer Token authentication.Visit the API Key management page to get your API Key, and add the following to the request header:

Authorization: Bearer YOUR_API_KEY

Body

string

required

Model name, fixed value: "grok_imagine_image_2_0".

object

required

Model parameters object.

Show params Object Properties

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.

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

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.

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.

string

default:"1K"

Output resolution tier: 1K (default) or 2K. 4K is not supported.

string

default:"medium"

Generation quality tier:

low - faster and lower cost
medium - better detail (default)

integer

default:"1"

Number of output images, ranging from 1 to 10. Each image is billed separately.

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

Query Results

After submission succeeds, call Get Task Status using the same out_task_id to query. Once the task is completed, the image results are located in data.output.

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"
  }'

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"
  }'

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());

Query Results

After a successful submission, call Get Task Status with the same out_task_id to query it. Once the task is completed, the image results are located in data.output.

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"
  }'

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"
  }'

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())

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));

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))
}

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

$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;
?>

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

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()

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);
    }
}

#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;
}

#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;
}

(* 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

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);
}

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"))

{
  "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"
  }
}

  {
      "statusCode": 400,
      "message": "Invalid request parameters",
      "ok": false
  }

{
  "error": {
    "code": 401,
    "message": "Authentication failed, please check your API key"
  }
}

  {
    "error": {
      "code": 433,
      "message": "Insufficient account balance, please top up and try again"
    }
  }

{
  "error": {
    "code": 500,
    "message": "Internal server error, please try again later"
  }
}

Overview

Image Series

Video Series

Audio Series

Text Series

Task Management

Grok Imagine Image 2.0 Image Generation and Editing

Authorizations

Body

Query Results

Query Results

​Authorizations

​Body

​Query Results

​Query Results

Authorizations

Body

Query Results

Query Results