curl --request POST \
  --url https://api.omniall.ai/runwayml/v1/image_to_video \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "promptImage": "https://example.com/ref.png",
  "seed": 999999999,
  "model": "gen3a_turbo",
  "promptText": "Camera slowly pushes in, cinematic light",
  "watermark": false,
  "duration": 5,
  "ratio": "768:1280"
}
'

import requests

url = "https://api.omniall.ai/runwayml/v1/image_to_video"

payload = {
    "promptImage": "https://example.com/ref.png",
    "seed": 999999999,
    "model": "gen3a_turbo",
    "promptText": "Camera slowly pushes in, cinematic light",
    "watermark": False,
    "duration": 5,
    "ratio": "768:1280"
}
headers = {
    "Authorization": "<authorization>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<authorization>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    promptImage: 'https://example.com/ref.png',
    seed: 999999999,
    model: 'gen3a_turbo',
    promptText: 'Camera slowly pushes in, cinematic light',
    watermark: false,
    duration: 5,
    ratio: '768:1280'
  })
};

fetch('https://api.omniall.ai/runwayml/v1/image_to_video', 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.omniall.ai/runwayml/v1/image_to_video",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'promptImage' => 'https://example.com/ref.png',
    'seed' => 999999999,
    'model' => 'gen3a_turbo',
    'promptText' => 'Camera slowly pushes in, cinematic light',
    'watermark' => false,
    'duration' => 5,
    'ratio' => '768:1280'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <authorization>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.omniall.ai/runwayml/v1/image_to_video"

	payload := strings.NewReader("{\n  \"promptImage\": \"https://example.com/ref.png\",\n  \"seed\": 999999999,\n  \"model\": \"gen3a_turbo\",\n  \"promptText\": \"Camera slowly pushes in, cinematic light\",\n  \"watermark\": false,\n  \"duration\": 5,\n  \"ratio\": \"768:1280\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "<authorization>")
	req.Header.Add("Content-Type", "application/json")

	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.omniall.ai/runwayml/v1/image_to_video")
  .header("Authorization", "<authorization>")
  .header("Content-Type", "application/json")
  .body("{\n  \"promptImage\": \"https://example.com/ref.png\",\n  \"seed\": 999999999,\n  \"model\": \"gen3a_turbo\",\n  \"promptText\": \"Camera slowly pushes in, cinematic light\",\n  \"watermark\": false,\n  \"duration\": 5,\n  \"ratio\": \"768:1280\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.omniall.ai/runwayml/v1/image_to_video")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"promptImage\": \"https://example.com/ref.png\",\n  \"seed\": 999999999,\n  \"model\": \"gen3a_turbo\",\n  \"promptText\": \"Camera slowly pushes in, cinematic light\",\n  \"watermark\": false,\n  \"duration\": 5,\n  \"ratio\": \"768:1280\"\n}"

response = http.request(request)
puts response.read_body

{
  "id": "task_xxxxxxxxxxxxxxx",
  "status": "PENDING"
}