curl --request POST \
  --url https://api.powertokens.ai/v1/videos \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "MiniMax-Hailuo-02",
  "images": [
    "https://example.com/assets/frame-start.png",
    "https://example.com/assets/frame-end.png"
  ],
  "prompt": "The child grows up naturally.",
  "seconds": "6",
  "size": "1080P"
}
'

import requests

url = "https://api.powertokens.ai/v1/videos"

payload = {
    "model": "MiniMax-Hailuo-02",
    "images": ["https://example.com/assets/frame-start.png", "https://example.com/assets/frame-end.png"],
    "prompt": "The child grows up naturally.",
    "seconds": "6",
    "size": "1080P"
}
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({
    model: 'MiniMax-Hailuo-02',
    images: [
      'https://example.com/assets/frame-start.png',
      'https://example.com/assets/frame-end.png'
    ],
    prompt: 'The child grows up naturally.',
    seconds: '6',
    size: '1080P'
  })
};

fetch('https://api.powertokens.ai/v1/videos', 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.powertokens.ai/v1/videos",
  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([
    'model' => 'MiniMax-Hailuo-02',
    'images' => [
        'https://example.com/assets/frame-start.png',
        'https://example.com/assets/frame-end.png'
    ],
    'prompt' => 'The child grows up naturally.',
    'seconds' => '6',
    'size' => '1080P'
  ]),
  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.powertokens.ai/v1/videos"

	payload := strings.NewReader("{\n  \"model\": \"MiniMax-Hailuo-02\",\n  \"images\": [\n    \"https://example.com/assets/frame-start.png\",\n    \"https://example.com/assets/frame-end.png\"\n  ],\n  \"prompt\": \"The child grows up naturally.\",\n  \"seconds\": \"6\",\n  \"size\": \"1080P\"\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.powertokens.ai/v1/videos")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"MiniMax-Hailuo-02\",\n  \"images\": [\n    \"https://example.com/assets/frame-start.png\",\n    \"https://example.com/assets/frame-end.png\"\n  ],\n  \"prompt\": \"The child grows up naturally.\",\n  \"seconds\": \"6\",\n  \"size\": \"1080P\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.powertokens.ai/v1/videos")

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  \"model\": \"MiniMax-Hailuo-02\",\n  \"images\": [\n    \"https://example.com/assets/frame-start.png\",\n    \"https://example.com/assets/frame-end.png\"\n  ],\n  \"prompt\": \"The child grows up naturally.\",\n  \"seconds\": \"6\",\n  \"size\": \"1080P\"\n}"

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

{
  "id": "<string>",
  "task_id": "<string>",
  "object": "video",
  "model": "<string>",
  "status": "queued",
  "progress": 0,
  "created_at": 123
}

{
  "code": "bad_request_body",
  "message": "Malformed request body or invalid field value",
  "data": null
}

{
  "code": "access_denied",
  "message": "Invalid token",
  "data": null
}

{
  "code": "read_request_body_failed",
  "message": "Request body too large, please reduce the input and retry",
  "data": null
}

{
  "code": "insufficient_user_quota",
  "message": "Insufficient account quota, please try again later",
  "data": null
}

{
  "code": "gen_relay_info_failed",
  "message": "Internal processing failed, please try again later",
  "data": null
}

{
  "code": "bad_response_status_code",
  "message": "The upstream provider returned an invalid response",
  "data": null
}

{
  "code": "get_channel_failed",
  "message": "No available channel for the current model, please try again later",
  "data": null
}