curl --request POST \
  --url https://api.wizzx.ai/api/v1/task/submit/gpt-image-2.5 \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "An orange mechanical keyboard on a dark desk",
  "version": "flare",
  "resolution": "2K"
}
'

import requests

url = "https://api.wizzx.ai/api/v1/task/submit/gpt-image-2.5"

payload = {
    "prompt": "An orange mechanical keyboard on a dark desk",
    "version": "flare",
    "resolution": "2K"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: 'An orange mechanical keyboard on a dark desk',
    version: 'flare',
    resolution: '2K'
  })
};

fetch('https://api.wizzx.ai/api/v1/task/submit/gpt-image-2.5', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.wizzx.ai/api/v1/task/submit/gpt-image-2.5",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'prompt' => 'An orange mechanical keyboard on a dark desk',
    'version' => 'flare',
    'resolution' => '2K'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.wizzx.ai/api/v1/task/submit/gpt-image-2.5"

	payload := strings.NewReader("{\n  \"prompt\": \"An orange mechanical keyboard on a dark desk\",\n  \"version\": \"flare\",\n  \"resolution\": \"2K\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.wizzx.ai/api/v1/task/submit/gpt-image-2.5")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"An orange mechanical keyboard on a dark desk\",\n  \"version\": \"flare\",\n  \"resolution\": \"2K\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.wizzx.ai/api/v1/task/submit/gpt-image-2.5")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"An orange mechanical keyboard on a dark desk\",\n  \"version\": \"flare\",\n  \"resolution\": \"2K\"\n}"

response = http.request(request)
puts response.read_body

{
  "code": 0,
  "message": "success",
  "data": {
    "task_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "model_key": "<string>",
    "credits_deducted": 1,
    "provider_task_id": "<string>",
    "provider_key": "<string>"
  },
  "request_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "<string>"
  },
  "request_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retry_after": 1
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "<string>"
  },
  "request_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retry_after": 1
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "<string>"
  },
  "request_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retry_after": 1
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "<string>"
  },
  "request_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retry_after": 1
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "<string>"
  },
  "request_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retry_after": 1
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "<string>"
  },
  "request_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retry_after": 1
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "<string>"
  },
  "request_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retry_after": 1
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "<string>"
  },
  "request_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retry_after": 1
}