curl -X POST https://api.vibetool.ai/v1/videos/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "happyhorse-1.0-text-to-video",
    "prompt": "a horse galloping on a beach at sunset, cinematic lighting",
    "image_url": "https://example.com/input.png",
    "duration": 4,
    "resolution": "1080p"
  }'

import requests

url = "https://api.vibetool.ai/v1/videos/generations"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "model": "happyhorse-1.0-text-to-video",
    "prompt": "a horse galloping on a beach at sunset, cinematic lighting",
    "image_url": "https://example.com/input.png",
    "duration": 4,
    "resolution": "1080p"
}

r = requests.post(url, json=payload, headers=headers, timeout=60)
print(r.status_code, r.json())

const response = await fetch("https://api.vibetool.ai/v1/videos/generations", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "happyhorse-1.0-text-to-video",
    prompt: "a horse galloping on a beach at sunset, cinematic lighting",
    image_url: "https://example.com/input.png",
    duration: 4,
    resolution: "1080p"
  })
});
const data = await response.json();
console.log(data);

package main

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

func main() {
	payload := map[string]interface{}{
		"model":      "happyhorse-1.0-text-to-video",
		"prompt":     "a horse galloping on a beach at sunset, cinematic lighting",
		"image_url":  "https://example.com/input.png",
		"duration":   4,
		"resolution": "1080p",
	}
	b, _ := json.Marshal(payload)

	req, _ := http.NewRequest("POST", "https://api.vibetool.ai/v1/videos/generations", bytes.NewReader(b))
	req.Header.Set("Authorization", "Bearer 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()

	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	fmt.Println(result)
}

{
  "id": "gen_vid_xyz789",
  "object": "video.generation",
  "model": "happyhorse-1.0-text-to-video",
  "created_at": 1767072426,
  "status": "pending",
  "task_id": "vid_202512261557_happy_b4fcbb08"
}

{
  "error": {
    "message": "Invalid image URL or unsupported image format.",
    "type": "invalid_request_error",
    "param": "image_url",
    "code": 400
  }
}