Name: OmniHuman Image to Video API
Brand: ByteDance

Overview

What is OmniHuman Image to Video API?

Generate incredibly accurate videos of human beings speaking a dialogue using ByteDance's OmniHuman model.

Technical Specifications
- Supported inputs: Image, Text, Video
- Output: Video

Performance Benchmarks
[embed]

OmniHuman Image to Video API Pricing
- Pricing on request

Where to Use OmniHuman Image to Video

Short-form video generation
Create clips for social, ads, and product demos from text or image prompts.

Previsualization and storyboards
Rapidly prototype motion concepts before committing to production.

Use cases

Social media content is a documented use case, with the model described as suitable for creating engaging talking-head clips and spokesperson-style videos.

Product demos with presenters are another documented use case, where the model is used to generate presenter-led videos for product announcements and demonstrations.

Educational video production is also documented, with examples including teaching content and engaging instructional videos.

Marketing and brand content is documented as well, including personalized ads and brand messaging featuring virtual ambassadors or digital spokespeople.

How to use OmniHuman Image to Video API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to bytedance/omnihuman.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "bytedance/omnihuman",
      "prompt": "A serene timelapse of clouds over a mountain range"
    },
).json()
gid = job["id"]

while True:
    res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json()
    if res.get("status") in ("completed", "error"):
        break
    time.sleep(5)
print(res["video"]["url"])

const headers = {
  Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
  "Content-Type": "application/json",
};
const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "bytedance/omnihuman",
    "prompt": "A serene timelapse of clouds over a mountain range"
  }),
})).json();

let res;
do {
  await new Promise((r) => setTimeout(r, 5000));
  res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json();
} while (!["completed", "error"].includes(res.status));
console.log(res.video.url);

# submit the generation — the response contains the job "id"
curl -X POST https://api.aimlapi.com/v2/video/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"bytedance/omnihuman","prompt":"A serene timelapse of clouds over a mountain range"}'

# then poll until status is "completed" — video.url holds the result
curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"

OpenAI-compatible — swap the base URL and it works with your existing SDK.