Enterprise AI Studio & REST API

curl https://api.videosto.re/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-YOUR_API_KEY" \
  -d '{
    "model": "gpt-image-2.5",
    "prompt": "Futuristic cyberpunk neon metropolis at rainy midnight, ultra-detailed 8K reflections, cinematic lighting",
    "size": "1024x1024",
    "response_format": "url",
    "n": 1
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.videosto.re/v1",
    api_key="sk-YOUR_API_KEY"
)

response = client.images.generate(
    model="gpt-image-2.5",
    prompt="Futuristic cyberpunk neon metropolis at rainy midnight, 8k cinematic",
    size="1024x1024",
    response_format="url"
)

image_url = response.data[0].url
print("Generated Image:", image_url)

import requests

url = "https://api.videosto.re/v1/images/generations"
headers = {
    "Authorization": "Bearer sk-YOUR_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "model": "nano-banana-pro",
    "prompt": "A majestic golden eagle soaring over snow-capped alpine peaks at sunrise",
    "size": "1792x1024",
    "response_format": "url"
}

response = requests.post(url, headers=headers, json=payload, timeout=120)
data = response.json()
print("Image URL:", data["data"][0]["url"])

import OpenAI from 'openai';

const openai = new OpenAI({
  baseURL: 'https://api.videosto.re/v1',
  apiKey: 'sk-YOUR_API_KEY'
});

async function main() {
  const image = await openai.images.generate({
    model: 'gpt-image-2.5',
    prompt: 'Hyperrealistic portrait of an astronaut on Mars looking at Earth in the sky',
    size: '1024x1792',
    response_format: 'url'
  });

  console.log('Result:', image.data[0].url);
}

main();

const response = await fetch('https://api.videosto.re/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer sk-YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gpt-image-2.5',
    prompt: 'Glassmorphic architectural villa in misty mountain forest, morning sunlight',
    size: '1024x1024',
    response_format: 'url'
  })
});

const data = await response.json();
console.log(data.data[0].url);

package main

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

func main() {
	url := "https://api.videosto.re/v1/images/generations"
	payload := map[string]interface{}{
		"model":  "gpt-image-2.5",
		"prompt": "Abstract glowing quantum computational neural lattice, vibrant colors",
		"size":   "1024x1024",
	}
	body, _ := json.Marshal(payload)

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

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()

	respBody, _ := io.ReadAll(resp.Body)
	fmt.Println(string(respBody))
}