Veo3 - Image To Video - gptproto

curl --location 'https://gptproto.com/api/v3/google/veo3/image-to-video' \
--header 'Authorization: GPTPROTO_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
  "prompt": "A young woman walks alone under a transparent umbrella in a quiet alley during light rain, soft city lights reflecting on the wet pavement. Her pace is calm and thoughtful. The camera follows slowly behind her, occasional droplets hitting the lens. Subtle piano music plays, evoking a melancholic but peaceful mood. Dreamy, cinematic, slightly slow motion.",
  "aspect_ratio": "16:9",
  "image": "https://oss.gptproto.com/2025/11/12/d5c2f08479b9452aacbcf9963631ce21.jpeg",
  "enhance_prompt": true
}'

const axios = require('axios');
let data = JSON.stringify({
  "prompt": "A young woman walks alone under a transparent umbrella in a quiet alley during light rain, soft city lights reflecting on the wet pavement. Her pace is calm and thoughtful. The camera follows slowly behind her, occasional droplets hitting the lens. Subtle piano music plays, evoking a melancholic but peaceful mood. Dreamy, cinematic, slightly slow motion.",
  "aspect_ratio": "16:9",
  "image": "https://oss.gptproto.com/2025/11/12/d5c2f08479b9452aacbcf9963631ce21.jpeg",
  "enhance_prompt": true
});

let config = {
  method: 'post',
  maxBodyLength: Infinity,
  url: 'https://gptproto.com/api/v3/google/veo3/image-to-video',
  headers: { 
    'Authorization': 'GPTPROTO_API_KEY', 
    'Content-Type': 'application/json'
  },
  data : data
};

axios.request(config)
.then((response) => {
  console.log(JSON.stringify(response.data));
})
.catch((error) => {
  console.log(error);
});

import requests
import json

url = "https://gptproto.com/api/v3/google/veo3/image-to-video"

payload = json.dumps({
  "prompt": "A young woman walks alone under a transparent umbrella in a quiet alley during light rain, soft city lights reflecting on the wet pavement. Her pace is calm and thoughtful. The camera follows slowly behind her, occasional droplets hitting the lens. Subtle piano music plays, evoking a melancholic but peaceful mood. Dreamy, cinematic, slightly slow motion.",
  "aspect_ratio": "16:9",
  "image": "https://oss.gptproto.com/2025/11/12/d5c2f08479b9452aacbcf9963631ce21.jpeg",
  "enhance_prompt": True
})
headers = {
  'Authorization': 'GPTPROTO_API_KEY',
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

package main

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

func main() {

  url := "https://gptproto.com/api/v3/google/veo3/image-to-video"
  method := "POST"

  payload := strings.NewReader(`{
  "prompt": "A young woman walks alone under a transparent umbrella in a quiet alley during light rain, soft city lights reflecting on the wet pavement. Her pace is calm and thoughtful. The camera follows slowly behind her, occasional droplets hitting the lens. Subtle piano music plays, evoking a melancholic but peaceful mood. Dreamy, cinematic, slightly slow motion.",
  "aspect_ratio": "16:9",
  "image": "https://oss.gptproto.com/2025/11/12/d5c2f08479b9452aacbcf9963631ce21.jpeg",
  "enhance_prompt": true
}`)

  client := &http.Client {
  }
  req, err := http.NewRequest(method, url, payload)

  if err != nil {
    fmt.Println(err)
    return
  }
  req.Header.Add("Authorization", "GPTPROTO_API_KEY")
  req.Header.Add("Content-Type", "application/json")

  res, err := client.Do(req)
  if err != nil {
    fmt.Println(err)
    return
  }
  defer res.Body.Close()

  body, err := io.ReadAll(res.Body)
  if err != nil {
    fmt.Println(err)
    return
  }
  fmt.Println(string(body))
}

curl -X GET "https://gptproto.com/api/v3/predictions/{id}/result" \
  -H "Authorization: GPTPROTO_API_KEY" \
  -H "Content-Type: application/json"

import requests
import json

url = "https://gptproto.com/api/v3/predictions/{id}/result"
headers = {
    "Authorization: GPTPROTO_API_KEY",
    "Content-Type": "application/json"
}

response = requests.get(url, headers=headers)
result = response.json()
print(json.dumps(result, indent=2))

const url = "https://gptproto.com/api/v3/predictions/{id}/result";
const headers = {
  "Authorization: GPTPROTO_API_KEY",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "GET",
  headers: headers
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

package main

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

func main() {
    url := "https://gptproto.com/api/v3/predictions/{id}/result"

    req, _ := http.NewRequest("GET", url, nil)
    req.Header.Set("Authorization", "GPTPROTO_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))
}