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POST
/
api
/
v3
/
alibaba
/
wan-2.2-plus
/
text-to-video
wan-2.2-plus (text to video)
curl --request POST \
  --url https://api.example.com/api/v3/alibaba/wan-2.2-plus/text-to-video
import requests

url = "https://api.example.com/api/v3/alibaba/wan-2.2-plus/text-to-video"

response = requests.post(url)

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

fetch('https://api.example.com/api/v3/alibaba/wan-2.2-plus/text-to-video', 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-2.2-plus/text-to-video",
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-2.2-plus/text-to-video"

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-2.2-plus/text-to-video")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.example.com/api/v3/alibaba/wan-2.2-plus/text-to-video")

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
Generate videos from text prompts using Qwen’s wan-2.2-plus model with GPTProto format API.
curl --location 'https://gptproto.com/api/v3/alibaba/wan-2.2-plus/text-to-video' \
--header 'Authorization: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
     "prompt": "An older couple, seen from behind, sits on a wooden bench watching the sunset over the ocean. The man gently places his arm around the woman'\''s shoulder. The scene is peaceful and filled with unspoken history. --Static wide shot, silhouette, warm golden hour colors, photorealistic, emotionally resonant.",
    "enable_prompt_expansion": false,
    "seed": -1,
    "size": "1920*1080"
}'
import requests
import json

url = "https://gptproto.com/api/v3/alibaba/wan-2.2-plus/text-to-video"
headers = {
    "Authorization": "YOUR_API_KEY",
    "Content-Type": "application/json"
}

data = {
    "prompt": "An older couple, seen from behind, sits on a wooden bench watching the sunset over the ocean. The man gently places his arm around the woman's shoulder. The scene is peaceful and filled with unspoken history. --Static wide shot, silhouette, warm golden hour colors, photorealistic, emotionally resonant.",
    "enable_prompt_expansion": False,
    "seed": -1,
    "size": "1920*1080"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()
print(json.dumps(result, indent=2))
const url = "https://gptproto.com/api/v3/alibaba/wan-2.2-plus/text-to-video";
const headers = {
  "Authorization": "YOUR_API_KEY",
  "Content-Type": "application/json"
};

const data = {
  "prompt": "An older couple, seen from behind, sits on a wooden bench watching the sunset over the ocean. The man gently places his arm around the woman's shoulder. The scene is peaceful and filled with unspoken history. --Static wide shot, silhouette, warm golden hour colors, photorealistic, emotionally resonant.",
  "enable_prompt_expansion": false,
  "seed": -1,
  "size": "1920*1080"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(data)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://gptproto.com/api/v3/alibaba/wan-2.2-plus/text-to-video"

    payload := []byte(`{
     "prompt": "An older couple, seen from behind, sits on a wooden bench watching the sunset over the ocean. The man gently places his arm around the woman's shoulder. The scene is peaceful and filled with unspoken history. --Static wide shot, silhouette, warm golden hour colors, photorealistic, emotionally resonant.",
    "enable_prompt_expansion": false,
    "seed": -1,
    "size": "1920*1080"
}`)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(payload))
    req.Header.Set("Authorization", "YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

Response

{
  "task_id": "abc123def456",
  "status": "processing",
  "message": "Video generation task submitted successfully"
}
{
  "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

ParameterTypeRequiredDefaultRangeDescription
promptstring✅ Yes--Text description for the video generation, describing the desired scene, actions, style, and cinematography
sizestring❌ No"1920*1080"1920*1080, 832*480Video resolution/size. Available options: 1920*1080 for Full HD or 832*480 for standard definition
enable_prompt_expansionboolean❌ Nofalse-Enable automatic prompt expansion and optimization. When set to true, the system will enhance and expand the input prompt
seedinteger❌ No-1-1 ~ 2147483647Random seed for generation reproducibility. Set to -1 for random generation