Gemini Omni text to video

import { GeminiOmniClient } from "@runapi.ai/gemini-omni";

const client = new GeminiOmniClient();
const result = await client.textToVideo.run({
    model: "gemini-omni-text-to-video",
    prompt: "製作一段 1080p 霓虹城市跟拍鏡頭：一個可重複使用的角色在雨中行走，同時有沉穩的旁白說話。",
});

import os
import requests

response = requests.post(
    "https://runapi.ai/api/v1/gemini_omni/text_to_video",
    headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
    json={"model":"gemini-omni-text-to-video","prompt":"製作一段 1080p 霓虹城市跟拍鏡頭：一個可重複使用的角色在雨中行走，同時有沉穩的旁白說話。"}
)
response.raise_for_status()

<?php

$client = curl_init("https://runapi.ai/api/v1/gemini_omni/text_to_video");
curl_setopt_array($client, [
    CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'gemini-omni-text-to-video',
        'prompt' => '製作一段 1080p 霓虹城市跟拍鏡頭：一個可重複使用的角色在雨中行走，同時有沉穩的旁白說話。',
    ])
]);
$response = curl_exec($client);

RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.textToVideo().run({"model":"gemini-omni-text-to-video","prompt":"製作一段 1080p 霓虹城市跟拍鏡頭：一個可重複使用的角色在雨中行走，同時有沉穩的旁白說話。"});
task.waitForResult();

require "runapi/gemini_omni"

client = RunApi::GeminiOmni::Client.new
result = client.text_to_video.run(
    model: "gemini-omni-text-to-video",
    prompt: "製作一段 1080p 霓虹城市跟拍鏡頭：一個可重複使用的角色在雨中行走，同時有沉穩的旁白說話。"
)

client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.textToVideo.Run({"model":"gemini-omni-text-to-video","prompt":"製作一段 1080p 霓虹城市跟拍鏡頭：一個可重複使用的角色在雨中行走，同時有沉穩的旁白說話。"})
if err != nil { log.Fatal(err) }
task.Wait()

$ runapi generate \
    --model gemini-omni-text-to-video \
    --endpoint text_to_video \
    --wait