curl --request POST \ --url https://aireiter.com/api/openapi/submit \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "qwen_image_3", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", "params": { "prompt": "Keep the product subject and label structure, change the background to a dark gray premium advertising studio, and add cool rim lighting", "image_url": ["https://example.com/product-reference.png"], "resolution": "1K", "aspect_ratio": "1:1", "output_n": 1 }, "out_task_id": "qwen_image_3_edit_001" }'
import requestsurl = "https://aireiter.com/api/openapi/submit"payload = { "model": "qwen_image_3", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": True, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", params: { prompt: "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", resolution: "2K", aspect_ratio: "16:9", output_n: 1, prompt_extend: true, prompt_extend_mode: "agent" }, out_task_id: "qwen_image_3_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 mainimport ( "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", "params": map[string]interface{}{ "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent", }, "out_task_id": "qwen_image_3_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", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", "params" => [ "prompt" => "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution" => "2K", "aspect_ratio" => "16:9", "output_n" => 1, "prompt_extend" => true, "prompt_extend_mode" => "agent" ], "out_task_id" => "qwen_image_3_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", params: { prompt: "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", resolution: "2K", aspect_ratio: "16:9", output_n: 1, prompt_extend: true, prompt_extend_mode: "agent" }, out_task_id: "qwen_image_3_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_jsonresponse = http.request(request)puts response.body
import Foundationlet url = URL(string: "https://aireiter.com/api/openapi/submit")!let payload: [String: Any] = [ "model": "qwen_image_3", "params": [ "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" ], "out_task_id": "qwen_image_3_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"", ""params"": { ""prompt"": ""A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark"", ""resolution"": ""2K"", ""aspect_ratio"": ""16:9"", ""output_n"": 1, ""prompt_extend"": true, ""prompt_extend_mode"": ""agent"" }, ""out_task_id"": ""qwen_image_3_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\",\"params\":{\"prompt\":\"A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark\",\"resolution\":\"2K\",\"aspect_ratio\":\"16:9\",\"output_n\":1,\"prompt_extend\":true,\"prompt_extend_mode\":\"agent\"},\"out_task_id\":\"qwen_image_3_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;}
(* Requires cohttp and yojson libraries *)open Lwtopen Cohttpopen Cohttp_lwt_unixlet url = "https://aireiter.com/api/openapi/submit"let payload = {|{ "model": "qwen_image_3", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", params = list( prompt = "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", resolution = "2K", aspect_ratio = "16:9", output_n = 1, prompt_extend = TRUE, prompt_extend_mode = "agent" ), out_task_id = "qwen_image_3_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"))
{ "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" }}
Qwen Image 3.0
Qwen Image 3.0 Image Generation and Editing
Asynchronous processing mode, returns a task ID for subsequent queries
Supports text-to-image and image-to-image. If no reference image is provided, it uses text-to-image
Supports 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 undergo platform sensitive word / security 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": "qwen_image_3", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", "params": { "prompt": "Keep the product subject and label structure, change the background to a dark gray premium advertising studio, and add cool rim lighting", "image_url": ["https://example.com/product-reference.png"], "resolution": "1K", "aspect_ratio": "1:1", "output_n": 1 }, "out_task_id": "qwen_image_3_edit_001" }'
import requestsurl = "https://aireiter.com/api/openapi/submit"payload = { "model": "qwen_image_3", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": True, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", params: { prompt: "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", resolution: "2K", aspect_ratio: "16:9", output_n: 1, prompt_extend: true, prompt_extend_mode: "agent" }, out_task_id: "qwen_image_3_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 mainimport ( "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", "params": map[string]interface{}{ "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent", }, "out_task_id": "qwen_image_3_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", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", "params" => [ "prompt" => "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution" => "2K", "aspect_ratio" => "16:9", "output_n" => 1, "prompt_extend" => true, "prompt_extend_mode" => "agent" ], "out_task_id" => "qwen_image_3_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", params: { prompt: "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", resolution: "2K", aspect_ratio: "16:9", output_n: 1, prompt_extend: true, prompt_extend_mode: "agent" }, out_task_id: "qwen_image_3_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_jsonresponse = http.request(request)puts response.body
import Foundationlet url = URL(string: "https://aireiter.com/api/openapi/submit")!let payload: [String: Any] = [ "model": "qwen_image_3", "params": [ "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" ], "out_task_id": "qwen_image_3_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"", ""params"": { ""prompt"": ""A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark"", ""resolution"": ""2K"", ""aspect_ratio"": ""16:9"", ""output_n"": 1, ""prompt_extend"": true, ""prompt_extend_mode"": ""agent"" }, ""out_task_id"": ""qwen_image_3_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\",\"params\":{\"prompt\":\"A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark\",\"resolution\":\"2K\",\"aspect_ratio\":\"16:9\",\"output_n\":1,\"prompt_extend\":true,\"prompt_extend_mode\":\"agent\"},\"out_task_id\":\"qwen_image_3_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;}
(* Requires cohttp and yojson libraries *)open Lwtopen Cohttpopen Cohttp_lwt_unixlet url = "https://aireiter.com/api/openapi/submit"let payload = {|{ "model": "qwen_image_3", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", params = list( prompt = "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", resolution = "2K", aspect_ratio = "16:9", output_n = 1, prompt_extend = TRUE, prompt_extend_mode = "agent" ), out_task_id = "qwen_image_3_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"))
All endpoints require authentication using a Bearer Token.Visit the API Key management page to get your API Key, and add the following to the request header:
Image generation or editing instruction. Chinese and English are supported.It is recommended to clearly describe the subject, scene, composition, lighting, materials, text content, and the parts in the reference image that need to be preserved or modified.
Task statuses include pending, processing, completed, and failed. After the task is completed, the image array is 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": "qwen_image_3", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", "params": { "prompt": "Keep the product subject and label structure, change the background to a dark gray premium advertising studio, and add cool rim lighting", "image_url": ["https://example.com/product-reference.png"], "resolution": "1K", "aspect_ratio": "1:1", "output_n": 1 }, "out_task_id": "qwen_image_3_edit_001" }'
import requestsurl = "https://aireiter.com/api/openapi/submit"payload = { "model": "qwen_image_3", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": True, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", params: { prompt: "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", resolution: "2K", aspect_ratio: "16:9", output_n: 1, prompt_extend: true, prompt_extend_mode: "agent" }, out_task_id: "qwen_image_3_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 mainimport ( "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", "params": map[string]interface{}{ "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent", }, "out_task_id": "qwen_image_3_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", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", "params" => [ "prompt" => "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution" => "2K", "aspect_ratio" => "16:9", "output_n" => 1, "prompt_extend" => true, "prompt_extend_mode" => "agent" ], "out_task_id" => "qwen_image_3_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", params: { prompt: "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", resolution: "2K", aspect_ratio: "16:9", output_n: 1, prompt_extend: true, prompt_extend_mode: "agent" }, out_task_id: "qwen_image_3_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_jsonresponse = http.request(request)puts response.body
import Foundationlet url = URL(string: "https://aireiter.com/api/openapi/submit")!let payload: [String: Any] = [ "model": "qwen_image_3", "params": [ "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" ], "out_task_id": "qwen_image_3_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"", ""params"": { ""prompt"": ""A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark"", ""resolution"": ""2K"", ""aspect_ratio"": ""16:9"", ""output_n"": 1, ""prompt_extend"": true, ""prompt_extend_mode"": ""agent"" }, ""out_task_id"": ""qwen_image_3_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\",\"params\":{\"prompt\":\"A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark\",\"resolution\":\"2K\",\"aspect_ratio\":\"16:9\",\"output_n\":1,\"prompt_extend\":true,\"prompt_extend_mode\":\"agent\"},\"out_task_id\":\"qwen_image_3_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;}
(* Requires cohttp and yojson libraries *)open Lwtopen Cohttpopen Cohttp_lwt_unixlet url = "https://aireiter.com/api/openapi/submit"let payload = {|{ "model": "qwen_image_3", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", "params": { "prompt": "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", "resolution": "2K", "aspect_ratio": "16:9", "output_n": 1, "prompt_extend": true, "prompt_extend_mode": "agent" }, "out_task_id": "qwen_image_3_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", params = list( prompt = "A futuristic electric sports car in front of a modern glass building, blue hour, commercial automotive photography, realistic materials and natural shadows, no text, no watermark", resolution = "2K", aspect_ratio = "16:9", output_n = 1, prompt_extend = TRUE, prompt_extend_mode = "agent" ), out_task_id = "qwen_image_3_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"))