curl --request POST \
  --url https://api.siray.ai/v1/images/generations/async \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "background": "auto",
  "complexity": "low",
  "frame_count": 2,
  "frame_duration_ms": 20,
  "height": 1,
  "model": "openai/gpt-image-2.6-flare-t2i",
  "moderation": "auto",
  "n": 1,
  "output_format": "jpg",
  "prompt": "example_value",
  "quality": "low",
  "size": "auto",
  "width": 1
}
'

import requests

url = "https://api.siray.ai/v1/images/generations/async"

payload = {
    "background": "auto",
    "complexity": "low",
    "frame_count": 2,
    "frame_duration_ms": 20,
    "height": 1,
    "model": "openai/gpt-image-2.6-flare-t2i",
    "moderation": "auto",
    "n": 1,
    "output_format": "jpg",
    "prompt": "example_value",
    "quality": "low",
    "size": "auto",
    "width": 1
}
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({
    background: 'auto',
    complexity: 'low',
    frame_count: 2,
    frame_duration_ms: 20,
    height: 1,
    model: 'openai/gpt-image-2.6-flare-t2i',
    moderation: 'auto',
    n: 1,
    output_format: 'jpg',
    prompt: 'example_value',
    quality: 'low',
    size: 'auto',
    width: 1
  })
};

fetch('https://api.siray.ai/v1/images/generations/async', 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.siray.ai/v1/images/generations/async",
  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([
    'background' => 'auto',
    'complexity' => 'low',
    'frame_count' => 2,
    'frame_duration_ms' => 20,
    'height' => 1,
    'model' => 'openai/gpt-image-2.6-flare-t2i',
    'moderation' => 'auto',
    'n' => 1,
    'output_format' => 'jpg',
    'prompt' => 'example_value',
    'quality' => 'low',
    'size' => 'auto',
    'width' => 1
  ]),
  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.siray.ai/v1/images/generations/async"

	payload := strings.NewReader("{\n  \"background\": \"auto\",\n  \"complexity\": \"low\",\n  \"frame_count\": 2,\n  \"frame_duration_ms\": 20,\n  \"height\": 1,\n  \"model\": \"openai/gpt-image-2.6-flare-t2i\",\n  \"moderation\": \"auto\",\n  \"n\": 1,\n  \"output_format\": \"jpg\",\n  \"prompt\": \"example_value\",\n  \"quality\": \"low\",\n  \"size\": \"auto\",\n  \"width\": 1\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.siray.ai/v1/images/generations/async")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"background\": \"auto\",\n  \"complexity\": \"low\",\n  \"frame_count\": 2,\n  \"frame_duration_ms\": 20,\n  \"height\": 1,\n  \"model\": \"openai/gpt-image-2.6-flare-t2i\",\n  \"moderation\": \"auto\",\n  \"n\": 1,\n  \"output_format\": \"jpg\",\n  \"prompt\": \"example_value\",\n  \"quality\": \"low\",\n  \"size\": \"auto\",\n  \"width\": 1\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.siray.ai/v1/images/generations/async")

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  \"background\": \"auto\",\n  \"complexity\": \"low\",\n  \"frame_count\": 2,\n  \"frame_duration_ms\": 20,\n  \"height\": 1,\n  \"model\": \"openai/gpt-image-2.6-flare-t2i\",\n  \"moderation\": \"auto\",\n  \"n\": 1,\n  \"output_format\": \"jpg\",\n  \"prompt\": \"example_value\",\n  \"quality\": \"low\",\n  \"size\": \"auto\",\n  \"width\": 1\n}"

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

{
  "code": "success",
  "data": {
    "task_id": "<string>"
  },
  "message": "<string>",
  "fail_code": "<string>"
}