Veo 3.1 lite

import { Veo31Client } from "@runapi.ai/veo-3-1";

const client = new Veo31Client();
const result = await client.textToVideo.run({
    model: "veo-3.1-lite",
    prompt: "Generate an 8-second cinematic drone shot of a coastal highway at golden hour, with waves crashing below and ambient wind audio.",
});

import os
import requests

response = requests.post(
    "https://runapi.ai/api/v1/veo_3_1/text_to_video",
    headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
    json={"model":"veo-3.1-lite","prompt":"Generate an 8-second cinematic drone shot of a coastal highway at golden hour, with waves crashing below and ambient wind audio."}
)
response.raise_for_status()

<?php

$client = curl_init("https://runapi.ai/api/v1/veo_3_1/text_to_video");
curl_setopt_array($client, [
    CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'veo-3.1-lite',
        'prompt' => 'Generate an 8-second cinematic drone shot of a coastal highway at golden hour, with waves crashing below and ambient wind audio.',
    ])
]);
$response = curl_exec($client);

RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.textToVideo().run({"model":"veo-3.1-lite","prompt":"Generate an 8-second cinematic drone shot of a coastal highway at golden hour, with waves crashing below and ambient wind audio."});
task.waitForResult();

require "runapi/veo_3_1"

client = RunApi::Veo31::Client.new
result = client.text_to_video.run(
    model: "veo-3.1-lite",
    prompt: "Generate an 8-second cinematic drone shot of a coastal highway at golden hour, with waves crashing below and ambient wind audio."
)

client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.textToVideo.Run({"model":"veo-3.1-lite","prompt":"Generate an 8-second cinematic drone shot of a coastal highway at golden hour, with waves crashing below and ambient wind audio."})
if err != nil { log.Fatal(err) }
task.Wait()

$ runapi generate \
    --model veo-3.1-lite \
    --endpoint text_to_video \
    --wait