curl --request POST \
  --url https://api.vidgo.ai/api/generate/submit \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "wan2.2-image-to-video-fast",
  "input": {
    "prompt": "A gentle botanical time-lapse connects the supplied first and last frames. The same single pink water lily slowly opens its existing petals outward, gradually revealing the golden center, ending in the open flower pose of the last image. Keep the flower center, stem, lily pad, water surface, greenhouse background and soft lighting stable. Locked macro camera throughout. Smooth organic unfurling, intact petals, no new flowers or objects, no camera movement, no cuts or abrupt morphs.",
    "resolution": "720p",
    "seed": 22405,
    "image_urls": [
      "https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/start.png",
      "https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/end.png"
    ]
  }
}
'

import requests

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

payload = {
    "model": "wan2.2-image-to-video-fast",
    "input": {
        "prompt": "A gentle botanical time-lapse connects the supplied first and last frames. The same single pink water lily slowly opens its existing petals outward, gradually revealing the golden center, ending in the open flower pose of the last image. Keep the flower center, stem, lily pad, water surface, greenhouse background and soft lighting stable. Locked macro camera throughout. Smooth organic unfurling, intact petals, no new flowers or objects, no camera movement, no cuts or abrupt morphs.",
        "resolution": "720p",
        "seed": 22405,
        "image_urls": ["https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/start.png", "https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/end.png"]
    }
}
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-image-to-video-fast',
    input: {
      prompt: 'A gentle botanical time-lapse connects the supplied first and last frames. The same single pink water lily slowly opens its existing petals outward, gradually revealing the golden center, ending in the open flower pose of the last image. Keep the flower center, stem, lily pad, water surface, greenhouse background and soft lighting stable. Locked macro camera throughout. Smooth organic unfurling, intact petals, no new flowers or objects, no camera movement, no cuts or abrupt morphs.',
      resolution: '720p',
      seed: 22405,
      image_urls: [
        'https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/start.png',
        'https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/end.png'
      ]
    }
  })
};

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-image-to-video-fast',
    'input' => [
        'prompt' => 'A gentle botanical time-lapse connects the supplied first and last frames. The same single pink water lily slowly opens its existing petals outward, gradually revealing the golden center, ending in the open flower pose of the last image. Keep the flower center, stem, lily pad, water surface, greenhouse background and soft lighting stable. Locked macro camera throughout. Smooth organic unfurling, intact petals, no new flowers or objects, no camera movement, no cuts or abrupt morphs.',
        'resolution' => '720p',
        'seed' => 22405,
        'image_urls' => [
                'https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/start.png',
                'https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/end.png'
        ]
    ]
  ]),
  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-image-to-video-fast\",\n  \"input\": {\n    \"prompt\": \"A gentle botanical time-lapse connects the supplied first and last frames. The same single pink water lily slowly opens its existing petals outward, gradually revealing the golden center, ending in the open flower pose of the last image. Keep the flower center, stem, lily pad, water surface, greenhouse background and soft lighting stable. Locked macro camera throughout. Smooth organic unfurling, intact petals, no new flowers or objects, no camera movement, no cuts or abrupt morphs.\",\n    \"resolution\": \"720p\",\n    \"seed\": 22405,\n    \"image_urls\": [\n      \"https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/start.png\",\n      \"https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/end.png\"\n    ]\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-image-to-video-fast\",\n  \"input\": {\n    \"prompt\": \"A gentle botanical time-lapse connects the supplied first and last frames. The same single pink water lily slowly opens its existing petals outward, gradually revealing the golden center, ending in the open flower pose of the last image. Keep the flower center, stem, lily pad, water surface, greenhouse background and soft lighting stable. Locked macro camera throughout. Smooth organic unfurling, intact petals, no new flowers or objects, no camera movement, no cuts or abrupt morphs.\",\n    \"resolution\": \"720p\",\n    \"seed\": 22405,\n    \"image_urls\": [\n      \"https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/start.png\",\n      \"https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/end.png\"\n    ]\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-image-to-video-fast\",\n  \"input\": {\n    \"prompt\": \"A gentle botanical time-lapse connects the supplied first and last frames. The same single pink water lily slowly opens its existing petals outward, gradually revealing the golden center, ending in the open flower pose of the last image. Keep the flower center, stem, lily pad, water surface, greenhouse background and soft lighting stable. Locked macro camera throughout. Smooth organic unfurling, intact petals, no new flowers or objects, no camera movement, no cuts or abrupt morphs.\",\n    \"resolution\": \"720p\",\n    \"seed\": 22405,\n    \"image_urls\": [\n      \"https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/start.png\",\n      \"https://cdn.vidgo.ai/apis/models/alibaba/wan/v2.2-a14b/image-to-video/turbo/v1/03/end.png\"\n    ]\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"
  }
}