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POST
/
api
/
v3
/
alibaba
/
wan-2.5-preview
/
image-to-video-fast
wan-2.5-preview (image to video)
curl --request POST \
  --url https://api.example.com/api/v3/alibaba/wan-2.5-preview/image-to-video-fast
import requests

url = "https://api.example.com/api/v3/alibaba/wan-2.5-preview/image-to-video-fast"

response = requests.post(url)

print(response.text)
const options = {method: 'POST'};

fetch('https://api.example.com/api/v3/alibaba/wan-2.5-preview/image-to-video-fast', 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.example.com/api/v3/alibaba/wan-2.5-preview/image-to-video-fast",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}
package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.example.com/api/v3/alibaba/wan-2.5-preview/image-to-video-fast"

	req, _ := http.NewRequest("POST", url, nil)

	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.example.com/api/v3/alibaba/wan-2.5-preview/image-to-video-fast")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api.example.com/api/v3/alibaba/wan-2.5-preview/image-to-video-fast")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)

response = http.request(request)
puts response.read_body
Qwen’s GPTProto format for the image to video API. 

curl --location 'https://gptproto.com/api/v3/alibaba/wan-2.5-preview/image-to-video' \
--header 'Authorization: sk-xx' \
--header 'Content-Type: application/json' \
--data '{
    "image": "https://d1q70pf5vjeyhc.cloudfront.net/media/fb8f674bbb1a429d947016fd223cfae1/images/1758532447268876299_CLRNKHEA.jpeg",
    "audio": "",
    "prompt": "A confident woman in her 40s stands on a stage with a microphone. The background shows a large LED screen with abstract visuals. She smiles and begins speaking to the audience: “Good evening everyone. Tonight, I want to share three powerful lessons about leadership and innovation.” Her lip movements match her voice, and she uses expressive hand gestures while speaking.",
    "negative_prompt": "",
    "resolution": "720p",
    "duration": 5,
    "enable_prompt_expansion": false,
    "seed": -1
}'

{
  "error": {
    "message": "Invalid signature",
    "type": "401"
  }
}

{
  "error": {
    "message": "Insufficient balance",
    "type": "403"
  }
}

{
  "error": {
    "message": "Internal server error",
    "type": "500"
  }
}

{
  "error": {
    "message": "Input may not meet the guidelines. Please adjust and try again.",
    "type": "503"
  }
}

​
Parameters

ParameterTypeRequiredDefaultDescription
imagestring✅ Yes-The image for generating the output.
audiostring❌ No-Audio URL to guide generation (optional).
promptstring✅ Yes-The positive prompt for the generation.
negative_promptstring✅ Yes-The negative prompt for the generation.
resolutionstring❌ No720p480p, 720p, 1080p . The resolution of the generated media.
durationinteger❌ No53, 4, 5, 6, 7, 8, 9, 10 . The duration of the generated media in seconds.
enable_prompt_expansionboolean❌ NofalseIf set to true, the prompt optimizer will be enabled.
seedinteger❌ No-1-1 ~ 2147483647 . The random seed to use for the generation. -1 means a random seed will be used.
{
  "data": {
    "id": "5d87273c75exxxx",
    "model": "alibaba/wan-2.5-preview/image-to-video",
    "outputs": [],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/5d87273c75exxxx/result"
    },
    "hasNsfwContents": [],
    "status": "created",
    "createdAt": "2025-11-10T09:50:05.977Z",
    "error": "",
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  },
  "message": "success",
  "code": 200
}