curl --request POST \
  --url https://api.vidgo.ai/api/generate/submit \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data @- <<EOF
{
  "model": "wan2.2-text-to-video-fast",
  "input": {
    "prompt": "A cinematic wide shot of one vintage steam train traveling steadily from left to right across a stone viaduct above a lush tropical gorge. The camera tracks sideways smoothly at the train's speed. White steam trails behind the locomotive, drifting over the dense green canopy; a distant waterfall and soft morning mist create layers of depth. The wheels remain on the rails, the carriages stay connected, and the bridge stays rigid. Natural documentary realism, warm early sunlight, one continuous shot, no cuts, no text or logos.",
    "resolution": "480p",
    "seed": 22400,
    "aspect_ratio": "16:9"
  }
}
EOF

import requests

url = "https://api.vidgo.ai/api/generate/submit"

payload = {
    "model": "wan2.2-text-to-video-fast",
    "input": {
        "prompt": "A cinematic wide shot of one vintage steam train traveling steadily from left to right across a stone viaduct above a lush tropical gorge. The camera tracks sideways smoothly at the train's speed. White steam trails behind the locomotive, drifting over the dense green canopy; a distant waterfall and soft morning mist create layers of depth. The wheels remain on the rails, the carriages stay connected, and the bridge stays rigid. Natural documentary realism, warm early sunlight, one continuous shot, no cuts, no text or logos.",
        "resolution": "480p",
        "seed": 22400,
        "aspect_ratio": "16:9"
    }
}
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: 'wan2.2-text-to-video-fast',
    input: {
      prompt: 'A cinematic wide shot of one vintage steam train traveling steadily from left to right across a stone viaduct above a lush tropical gorge. The camera tracks sideways smoothly at the train\'s speed. White steam trails behind the locomotive, drifting over the dense green canopy; a distant waterfall and soft morning mist create layers of depth. The wheels remain on the rails, the carriages stay connected, and the bridge stays rigid. Natural documentary realism, warm early sunlight, one continuous shot, no cuts, no text or logos.',
      resolution: '480p',
      seed: 22400,
      aspect_ratio: '16:9'
    }
  })
};

fetch('https://api.vidgo.ai/api/generate/submit', 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.vidgo.ai/api/generate/submit",
  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' => 'wan2.2-text-to-video-fast',
    'input' => [
        'prompt' => 'A cinematic wide shot of one vintage steam train traveling steadily from left to right across a stone viaduct above a lush tropical gorge. The camera tracks sideways smoothly at the train\'s speed. White steam trails behind the locomotive, drifting over the dense green canopy; a distant waterfall and soft morning mist create layers of depth. The wheels remain on the rails, the carriages stay connected, and the bridge stays rigid. Natural documentary realism, warm early sunlight, one continuous shot, no cuts, no text or logos.',
        'resolution' => '480p',
        'seed' => 22400,
        'aspect_ratio' => '16:9'
    ]
  ]),
  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.vidgo.ai/api/generate/submit"

	payload := strings.NewReader("{\n  \"model\": \"wan2.2-text-to-video-fast\",\n  \"input\": {\n    \"prompt\": \"A cinematic wide shot of one vintage steam train traveling steadily from left to right across a stone viaduct above a lush tropical gorge. The camera tracks sideways smoothly at the train's speed. White steam trails behind the locomotive, drifting over the dense green canopy; a distant waterfall and soft morning mist create layers of depth. The wheels remain on the rails, the carriages stay connected, and the bridge stays rigid. Natural documentary realism, warm early sunlight, one continuous shot, no cuts, no text or logos.\",\n    \"resolution\": \"480p\",\n    \"seed\": 22400,\n    \"aspect_ratio\": \"16:9\"\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.vidgo.ai/api/generate/submit")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"wan2.2-text-to-video-fast\",\n  \"input\": {\n    \"prompt\": \"A cinematic wide shot of one vintage steam train traveling steadily from left to right across a stone viaduct above a lush tropical gorge. The camera tracks sideways smoothly at the train's speed. White steam trails behind the locomotive, drifting over the dense green canopy; a distant waterfall and soft morning mist create layers of depth. The wheels remain on the rails, the carriages stay connected, and the bridge stays rigid. Natural documentary realism, warm early sunlight, one continuous shot, no cuts, no text or logos.\",\n    \"resolution\": \"480p\",\n    \"seed\": 22400,\n    \"aspect_ratio\": \"16:9\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.vidgo.ai/api/generate/submit")

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\": \"wan2.2-text-to-video-fast\",\n  \"input\": {\n    \"prompt\": \"A cinematic wide shot of one vintage steam train traveling steadily from left to right across a stone viaduct above a lush tropical gorge. The camera tracks sideways smoothly at the train's speed. White steam trails behind the locomotive, drifting over the dense green canopy; a distant waterfall and soft morning mist create layers of depth. The wheels remain on the rails, the carriages stay connected, and the bridge stays rigid. Natural documentary realism, warm early sunlight, one continuous shot, no cuts, no text or logos.\",\n    \"resolution\": \"480p\",\n    \"seed\": 22400,\n    \"aspect_ratio\": \"16:9\"\n  }\n}"

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

{
  "code": 200,
  "data": {
    "task_id": "task-unified-1757165031-uyujaw3d",
    "status": "not_started",
    "created_time": "2025-11-12T10:30:00"
  }
}