curl --request POST \
  --url https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "instances": [
    {
      "prompt": "A cinematic aerial shot of a modern city at sunrise",
      "referenceImages": [
        {
          "image": {
            "inlineData": {
              "mimeType": "image/png",
              "data": "BASE64_IMAGE_DATA"
            }
          },
          "referenceType": "asset"
        }
      ]
    }
  ],
  "parameters": {
    "aspectRatio": "16:9",
    "durationSeconds": 5,
    "resolution": "720p"
  }
}
'

import requests

url = "https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning"

payload = {
    "instances": [
        {
            "prompt": "A cinematic aerial shot of a modern city at sunrise",
            "referenceImages": [
                {
                    "image": { "inlineData": {
                            "mimeType": "image/png",
                            "data": "BASE64_IMAGE_DATA"
                        } },
                    "referenceType": "asset"
                }
            ]
        }
    ],
    "parameters": {
        "aspectRatio": "16:9",
        "durationSeconds": 5,
        "resolution": "720p"
    }
}
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({
    instances: [
      {
        prompt: 'A cinematic aerial shot of a modern city at sunrise',
        referenceImages: [
          {
            image: {inlineData: {mimeType: 'image/png', data: 'BASE64_IMAGE_DATA'}},
            referenceType: 'asset'
          }
        ]
      }
    ],
    parameters: {aspectRatio: '16:9', durationSeconds: 5, resolution: '720p'}
  })
};

fetch('https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning', 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.aiid.edu.kg/v1beta/models/{model}:predictLongRunning",
  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([
    'instances' => [
        [
                'prompt' => 'A cinematic aerial shot of a modern city at sunrise',
                'referenceImages' => [
                                [
                                                                'image' => [
                                                                                                                                'inlineData' => [
                                                                                                                                                                                                                                                                'mimeType' => 'image/png',
                                                                                                                                                                                                                                                                'data' => 'BASE64_IMAGE_DATA'
                                                                                                                                ]
                                                                ],
                                                                'referenceType' => 'asset'
                                ]
                ]
        ]
    ],
    'parameters' => [
        'aspectRatio' => '16:9',
        'durationSeconds' => 5,
        'resolution' => '720p'
    ]
  ]),
  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.aiid.edu.kg/v1beta/models/{model}:predictLongRunning"

	payload := strings.NewReader("{\n  \"instances\": [\n    {\n      \"prompt\": \"A cinematic aerial shot of a modern city at sunrise\",\n      \"referenceImages\": [\n        {\n          \"image\": {\n            \"inlineData\": {\n              \"mimeType\": \"image/png\",\n              \"data\": \"BASE64_IMAGE_DATA\"\n            }\n          },\n          \"referenceType\": \"asset\"\n        }\n      ]\n    }\n  ],\n  \"parameters\": {\n    \"aspectRatio\": \"16:9\",\n    \"durationSeconds\": 5,\n    \"resolution\": \"720p\"\n  }\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.aiid.edu.kg/v1beta/models/{model}:predictLongRunning")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"instances\": [\n    {\n      \"prompt\": \"A cinematic aerial shot of a modern city at sunrise\",\n      \"referenceImages\": [\n        {\n          \"image\": {\n            \"inlineData\": {\n              \"mimeType\": \"image/png\",\n              \"data\": \"BASE64_IMAGE_DATA\"\n            }\n          },\n          \"referenceType\": \"asset\"\n        }\n      ]\n    }\n  ],\n  \"parameters\": {\n    \"aspectRatio\": \"16:9\",\n    \"durationSeconds\": 5,\n    \"resolution\": \"720p\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning")

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  \"instances\": [\n    {\n      \"prompt\": \"A cinematic aerial shot of a modern city at sunrise\",\n      \"referenceImages\": [\n        {\n          \"image\": {\n            \"inlineData\": {\n              \"mimeType\": \"image/png\",\n              \"data\": \"BASE64_IMAGE_DATA\"\n            }\n          },\n          \"referenceType\": \"asset\"\n        }\n      ]\n    }\n  ],\n  \"parameters\": {\n    \"aspectRatio\": \"16:9\",\n    \"durationSeconds\": 5,\n    \"resolution\": \"720p\"\n  }\n}"

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

{
  "name": "models/veo3.1-fast/operations/abc123"
}