Seedance 1.5 pro

import { SeedanceClient } from "@runapi.ai/seedance";

const client = new SeedanceClient();
const result = await client.textToVideo.run({
    model: "seedance-1.5-pro",
    prompt: "Generate a 10-second product reveal video: a smartphone emerges from smoke with cinematic lighting and ambient bass.",
});

import os
import requests

response = requests.post(
    "https://runapi.ai/api/v1/seedance/text_to_video",
    headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
    json={"model":"seedance-1.5-pro","prompt":"Generate a 10-second product reveal video: a smartphone emerges from smoke with cinematic lighting and ambient bass."}
)
response.raise_for_status()

<?php

$client = curl_init("https://runapi.ai/api/v1/seedance/text_to_video");
curl_setopt_array($client, [
    CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'seedance-1.5-pro',
        'prompt' => 'Generate a 10-second product reveal video: a smartphone emerges from smoke with cinematic lighting and ambient bass.',
    ])
]);
$response = curl_exec($client);

RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.textToVideo().run({"model":"seedance-1.5-pro","prompt":"Generate a 10-second product reveal video: a smartphone emerges from smoke with cinematic lighting and ambient bass."});
task.waitForResult();

require "runapi/seedance"

client = RunApi::Seedance::Client.new
result = client.text_to_video.run(
    model: "seedance-1.5-pro",
    prompt: "Generate a 10-second product reveal video: a smartphone emerges from smoke with cinematic lighting and ambient bass."
)

client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.textToVideo.Run({"model":"seedance-1.5-pro","prompt":"Generate a 10-second product reveal video: a smartphone emerges from smoke with cinematic lighting and ambient bass."})
if err != nil { log.Fatal(err) }
task.Wait()

$ runapi generate \
    --model seedance-1.5-pro \
    --endpoint text_to_video \
    --wait