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What Is OmniHuman 2.0? ByteDance's New AI Avatar Model, Explained

Most AI avatars give themselves away in three seconds. OmniHuman 2.0 is ByteDance’s answer: one photo and one voice track become a video of that person talking or singing. We tested it, made it sing, and priced every second.

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A woman in a cream knit sweater gesturing as she speaks, beside a large framed portrait of herself in a dim purple-lit studio
AI-GENERATED STILL — 16:9
Scene select — 8 scenes

Most AI avatars give themselves away in three seconds: the head bobs, the mouth flaps, the body never moves. OmniHuman 2.0 is ByteDance’s answer, and it is now on OpenClips as Dreamina OmniHuman 2.0. We tested it so you do not have to guess.

What it does

You give it one image (a portrait, a selfie, a drawing, a character), one audio track (speech or a song) and, if you want, a short prompt for emotion, gestures and camera. It returns a video where the mouth, face and body follow the audio.

A printed portrait on a desk beside headphones and a studio microphone
One photo plus one voice track is all OmniHuman 2.0 needs

Here is a real one, made on OpenClips from one portrait and 9 seconds of recorded voice:

OMNIHUMAN 2.0 — ONE PORTRAIT AND 9 SECONDS OF RECORDED VOICE — 9:16

9 seconds, 720p, ⚡129, about 3 minutes to render.

The same photo with a directed prompt: a nod, a hand on the key words, a smile at the end, and a push-in.

OMNIHUMAN 2.0 — SAME PORTRAIT, DIRECTED PROMPT — 9:16

5 seconds, ⚡72. The gesture and the smile landed exactly on cue. The push-in came out gentle, so ask for a bigger move if you want it to read on a phone.

And singing, to an original 10-second track we made for this post:

OMNIHUMAN 2.0 — SINGING AN ORIGINAL TRACK — 9:16

5 seconds, ⚡72, plus ⚡4 for the song. Eyes closed through the phrase, head lifting on the high note. One miss: we asked her to open her eyes at the end, and she did not.

What is new in 2.0

OmniHuman 1.5 (September 2025) already brought camera control, multiple people and text prompts. Version 2.0 adds, according to BytePlus:

  • Longer takes: up to 5 minutes on the API, up to 2 minutes on OpenClips.
  • Better motion for less: marketed as “40% lower cost, better motion.”
  • Gestures that match the words, not just the volume.
  • More subjects: animals, 3D and non-human characters are now officially supported.
  • Extras by prompt: objects and effects that are not in the photo.
  • One model for speech and song, with no separate singing mode.

Specs and price

OmniHuman 2.0 on OpenClips
Input1 image + 1 audio track + optional prompt
Audio length4 seconds to 2 minutes
Resolution720p
Render timeAbout 2 to 10 minutes
PriceAbout ⚡14 per second: 10 s = ⚡143, 30 s = ⚡428, 60 s = ⚡856, 2 min = ⚡1,711
Copy motion from a videoNo, image only

We tested it: same photo, same voice, two models

We ran the same portrait and the same 9 seconds of voice through OmniHuman 2.0 and Pruna P-Video 2, a cheaper audio-driven model also on OpenClips.

SAME PORTRAIT, SAME VOICE — OMNIHUMAN 2.0 VS PRUNA P-VIDEO 2
OmniHuman 2.0Pruna P-Video 2
Cost for 9 s⚡129⚡46
Render timeAbout 3 minutesSeconds
Head and eyesCalm, natural blinksMore tilt, eyes often closed
MouthMeasuredWider, more exaggerated
Longest clip2 minutes20 seconds
Reads asA real personLivelier, more theatrical

Our take: P-Video 2 is fine for cheap drafts. When the clip has to pass as a real person, or runs past 20 seconds, OmniHuman 2.0 is the one we would ship.

Where it beats other avatar tools

  • The body acts, not just the mouth. Head, shoulders and hands move with the meaning of the audio.
  • It sings. Held notes and high notes come through the face, as our demo shows. Most presenter avatars only talk.
  • One photo, no training. No footage of yourself, no digital twin to build.
  • More than humans. BytePlus lists mascots, cartoons and pets as supported subjects.

Where others still win: HeyGen-style platforms are better when you need one digital twin across hundreds of videos, built-in translation, or a full presenter studio.

Where it still slips

  • Teeth can smear in close-ups. Frame a little wider.
  • Gliding vowels (“boy”, “now”) can miss the sync.
  • Over-acting is the default. Ask for calm, natural delivery.
  • Busy backgrounds can drift. Use a plain one with a single face.

How to prompt it

Use one order: camera + emotion + speaking state + actions.

Camera, emotion, speaking state, actions
Static medium shot with a slow push-in on the last sentence. She starts calm, then warms into a smile. She talks directly to the camera, first a slight nod, then an open palm on the key line. Background stays still.

Say “talks” or “sings” explicitly, give one camera move, and do not ask for emotion that fights the voice. Start with a clear face photo with a relaxed mouth, and a clean voice recording with no music under it.

How to use it on OpenClips

  1. Open the video generator and pick Dreamina OmniHuman 2.0.
  2. Upload a photo and an audio track (4 seconds to 2 minutes).
  3. Add a short prompt, check the price, and generate.

Test 5 seconds first (⚡72), then render the full take. Made something good? Publish it as a community workflow. Here’s how sharing earns you credits →

One photo, one voice, up to two minutes. New to OpenClips? Start free with ⚡50 on signup, no card.

Sources, read on 19 October 2026: BytePlus’s OmniHuman 2.0 product page, the Supermaker and MindStudio launch write-ups, the OmniHuman-1.5 project page, and fal’s OmniHuman 1.5 prompt guide.

Questions

Quick answers

ByteDance’s avatar model that turns one image and one audio track into a talking or singing video.

Up to 2 minutes on OpenClips. The BytePlus API goes to 5.

About ⚡14 per second of audio: 10 seconds is ⚡143.

Longer takes, better motion at a lower price, more subjects, and effects added by prompt.

For expressive performance and singing, yes. For one digital twin at scale with translation, HeyGen-style tools still lead.

No. One photo is the whole setup.

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