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

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

response = requests.post(url)

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

fetch('https://api.example.com/api/v3/alibaba/wan-2.5/text-to-image', 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/text-to-image",
  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/text-to-image"

	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/text-to-image")
  .asString();
require 'uri'
require 'net/http'

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

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 images from text prompts using Qwen’s wan-2.5 model with GPTProto format API. 
curl --location 'https://gptproto.com/api/v3/alibaba/wan-2.5/text-to-image' \
--header 'Authorization: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
    "prompt": "a cat",
    "size": "1024*1024",
    "resolution": "720p",
    "enable_prompt_expansion": "false",
    "negative_prompt": "",
    "seed": -1
}'

import requests
import json

url = "https://gptproto.com/api/v3/alibaba/wan-2.5/text-to-image"
headers = {
    "Authorization": "YOUR_API_KEY",
    "Content-Type": "application/json"
}

data = {
    "prompt": "a cat",
    "size": "1024*1024",
    "resolution": "720p",
    "enable_prompt_expansion": "false",
    "negative_prompt": "",
    "seed": -1
}

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-2.5/text-to-image";
const headers = {
  "Authorization": "YOUR_API_KEY",
  "Content-Type": "application/json"
};

const data = {
  "prompt": "a cat",
  "size": "1024*1024",
  "resolution": "720p",
  "enable_prompt_expansion": "false",
  "negative_prompt": "",
  "seed": -1
};

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-2.5/text-to-image"

    payload := []byte(`{
    "prompt": "a cat",
    "size": "1024*1024",
    "resolution": "720p",
    "enable_prompt_expansion": "false",
    "negative_prompt": "",
    "seed": -1
}`)

    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

{
  "data": {
    "id": "5d87273c75ea40f19a34dea994276673",
    "model": "alibaba/wan-2.5/text-to-image",
    "outputs": [],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/5d87273c75ea40f19a34dea994276673/result"
    },
    "hasNsfwContents": [],
    "status": "created",
    "createdAt": "2025-11-10T09:50:05.977Z",
    "error": "",
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  },
  "message": "success",
  "code": 200
}

{
  "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 image generation
sizestring❌ No"1024*1024"768 ~ 1440 per dimensionThe size of the generated image in pixels (width*height)
resolutionstring❌ No"720p"-Output resolution quality setting
enable_prompt_expansionstring❌ No"false"-Enable automatic prompt expansion and optimization. Set to "true" or "false"
negative_promptstring❌ No""-Negative prompt to specify what should not appear in the generated image
seedinteger❌ No-1-1 ~ 2147483647Random seed for generation reproducibility. Set to -1 for random generation