Wan-2.2-Plus - Image To Video - gptproto

curl --location 'https://gptproto.com/api/v3/alibaba/wan-2.2-plus/image-to-video' \
--header 'Authorization: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
    "duration": 5,
    "image": "https://d1q70pf5vjeyhc.cloudfront.net/media/fb8f674bbb1a429d947016fd223cfae1/images/1758167279419187099_bdfkyyQf.jpeg",
    "prompt": "A young woman sits by a sun-drenched window, the gentle breeze softly blowing her hair as she focuses on reading a book, a calm and content smile on her face. The lighting is soft, creating a warm, tranquil atmosphere. Cinematic close-up shot.\n\n",
    "enable_sync_mode": false,
    "seed": -1,
    "resolution": "1080p"
}'

import requests
import json

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

data = {
    "duration": 5,
    "image": "https://d1q70pf5vjeyhc.cloudfront.net/media/fb8f674bbb1a429d947016fd223cfae1/images/1758167279419187099_bdfkyyQf.jpeg",
    "prompt": "A young woman sits by a sun-drenched window, the gentle breeze softly blowing her hair as she focuses on reading a book, a calm and content smile on her face. The lighting is soft, creating a warm, tranquil atmosphere. Cinematic close-up shot.\n\n",
    "enable_sync_mode": False,
    "seed": -1,
    "resolution": "1080p"
}

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

const data = {
  "duration": 5,
  "image": "https://d1q70pf5vjeyhc.cloudfront.net/media/fb8f674bbb1a429d947016fd223cfae1/images/1758167279419187099_bdfkyyQf.jpeg",
  "prompt": "A young woman sits by a sun-drenched window, the gentle breeze softly blowing her hair as she focuses on reading a book, a calm and content smile on her face. The lighting is soft, creating a warm, tranquil atmosphere. Cinematic close-up shot.\n\n",
  "enable_sync_mode": false,
  "seed": -1,
  "resolution": "1080p"
};

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/image-to-video"

    payload := []byte(`{
    "duration": 5,
    "image": "https://d1q70pf5vjeyhc.cloudfront.net/media/fb8f674bbb1a429d947016fd223cfae1/images/1758167279419187099_bdfkyyQf.jpeg",
    "prompt": "A young woman sits by a sun-drenched window, the gentle breeze softly blowing her hair as she focuses on reading a book, a calm and content smile on her face. The lighting is soft, creating a warm, tranquil atmosphere. Cinematic close-up shot.\n\n",
    "enable_sync_mode": false,
    "seed": -1,
    "resolution": "1080p"
}`)

    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))
}

{
  "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"
  }
}