Output resolution
Supports 720p, 1080p from the published endpoint schema.
Audio-driven talking-head video from a portrait and driving audio
curl -X POST https://runapi.ai/api/v1/omnihuman/audio_to_video \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "omnihuman-1.5",
"image_url": "https://cdn.runapi.ai/public/samples/portrait.jpg",
"audio_url": "https://cdn.runapi.ai/public/samples/voice.mp3"
}'
import { OmnihumanClient } from "@runapi.ai/omnihuman";
const client = new OmnihumanClient();
const result = await client.audioToVideo.run({
model: "omnihuman-1.5",
image_url: "https://cdn.runapi.ai/public/samples/portrait.jpg",
audio_url: "https://cdn.runapi.ai/public/samples/voice.mp3",
});
import os
import requests
response = requests.post(
"https://runapi.ai/api/v1/omnihuman/audio_to_video",
headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
json={"model":"omnihuman-1.5","image_url":"https://cdn.runapi.ai/public/samples/portrait.jpg","audio_url":"https://cdn.runapi.ai/public/samples/voice.mp3"}
)
response.raise_for_status()
<?php
$client = curl_init("https://runapi.ai/api/v1/omnihuman/audio_to_video");
curl_setopt_array($client, [
CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
CURLOPT_POSTFIELDS => json_encode([
'model' => 'omnihuman-1.5',
'image_url' => 'https://cdn.runapi.ai/public/samples/portrait.jpg',
'audio_url' => 'https://cdn.runapi.ai/public/samples/voice.mp3',
])
]);
$response = curl_exec($client);
RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.audioToVideo().run({"model":"omnihuman-1.5","image_url":"https://cdn.runapi.ai/public/samples/portrait.jpg","audio_url":"https://cdn.runapi.ai/public/samples/voice.mp3"});
task.waitForResult();
require "runapi/omnihuman"
client = RunApi::Omnihuman::Client.new
result = client.audio_to_video.run(
model: "omnihuman-1.5",
image_url: "https://cdn.runapi.ai/public/samples/portrait.jpg",
audio_url: "https://cdn.runapi.ai/public/samples/voice.mp3"
)
client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.audioToVideo.Run({"model":"omnihuman-1.5","image_url":"https://cdn.runapi.ai/public/samples/portrait.jpg","audio_url":"https://cdn.runapi.ai/public/samples/voice.mp3"})
if err != nil { log.Fatal(err) }
task.Wait()
$ runapi generate \
--model omnihuman-1.5 \
--endpoint audio_to_video \
--wait
3 versions available
Pick any model and generate in seconds.
| Provider | Bytedance |
| Model ID | omnihuman-1.5 |
| Modality | Video |
| Task types | Asynchronous |
| API endpoint | /api/v1/omnihuman/audio_to_video |
| Billing unit | second |
| Input parameters | mask_urls, output_resolution, prompt, source_audio_url, source_image_url |
| Max resolution | 720p, 1080p |
| Catalog status | Operational |
Sign up for free and create an API key for omnihuman-1.5 from the dashboard.
POST to /api/v1/omnihuman/audio_to_video with the omnihuman-1.5 model slug and your parameters.
Poll the task or follow the callback to retrieve the completed omnihuman-1.5 result.
Supports 720p, 1080p from the published endpoint schema.
Configure 5 documented parameters, including mask_urls, output_resolution, prompt, source_audio_url, source_image_url.
Exposes 1 public endpoint(s): audio_to_video.
Metered by second with no subscription requirement.
promptNo description available.
mask_urlsNo description available.
source_audio_urlNo description available.
source_image_urlNo description available.
output_resolutionNo description available. (720p, 1080p)
Generate product launch clips and short-form ads from a text brief, cutting production from weeks to hours.
Convert lesson scripts into animated explainer videos at scale without a camera or crew.
Produce viral short-form content for social platforms directly from a prompt.
Pass the model ID shown in the quickstart.
Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades.
Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape.
Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery.
Open an issue on the public GitHub repo or email support at [email protected]. Include the task ID and model ID so the team can investigate the specific generation.
No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider.
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