OmniHuman or Sync: from a photo or from a ready video?

The decision is in the “What it needs as input” row of the table. OmniHuman needs a PHOTO and audio — it makes a still frame speak. Sync needs a VIDEO and audio — it takes an already filmed clip and matches the lips to a new recording. No video, only a portrait — OmniHuman. A filmed person and new audio — Sync. The two are not interchangeable.

Try both in the studio See pricing

What's the difference between OmniHuman and Sync for references → video?

The price in credits is per SECOND of video and is shown on the “Generate” button before every run. The “Five seconds cost” row below is the same price multiplied by five.

What OmniHuman Sync
Model variants on our platform 1 1
What it needs as input photo, audio file video, audio file
Price in credits per second 321 167
Five seconds cost 1605 credits 835 credits
Longest clip at once 60 sec 60 sec
Resolutions to choose from 720p, 1080p —
Sound from the model itself ✗ ✗
Negative description (“without…”) ✗ ✗

Which variants are part of this comparison, and what do they cost?

Brand Variant Credits per second
OmniHuman OmniHuman (photo → speech) 321
Sync Sync 2.0 Pro Lip-sync 167

What is OmniHuman better at?

OmniHuman is the only one here that starts from a still photo. A portrait, an archive frame or a generated face becomes a talking person, with no camera needed.

It has a choice of resolution — a rarity among talking-person models — and the option to supply a mask, meaning you can specify which part of the frame to animate.

The length it accepts is the same as with Sync. So not having a video as input doesn't cost you a shorter result.

What is Sync better at?

Sync keeps all the movement from the original clip — gestures, posture, gaze — and changes only the lips. This is more convincing than any photo animation, because the rest is real.

Sync has several modes for when the audio and the clip aren't the same length: trimming, looping, reversing, silence.

It accepts a long clip — the same limit as OmniHuman.

Where does each of the two fall short — OmniHuman and Sync?

Where OmniHuman loses. All the movement is invented by the model. The gestures and posture are only as convincing as the model made them, and in a long recording the monotony shows. OmniHuman is also among the pricier ones per second: see the price in the table.

Where Sync loses. It needs an already filmed clip. If you have no video, Sync simply doesn't take part, and none of its settings help. And it changes only the lips: if the recording has laughter or a pause, the body in the frame doesn't react to them.

How to choose between OmniHuman and Sync?

You have a photo — OmniHuman. You have a video — Sync. That's the whole choice, and it's not a matter of preference.

If you have both, Sync usually gives a more convincing result, because most of the frame is real. The full cards are on the OmniHuman page and the Sync page.

Questions and answers

Which is cheaper for references → video — OmniHuman or Sync?

Sync. OmniHuman starts at 321 credits per second, Sync — at 167 credits per second. The cheapest option for OmniHuman is OmniHuman (photo → speech), for Sync — Sync 2.0 Pro Lip-sync. The exact price is shown on the button before you start the generation.

Can I upload a photo to Sync?

No. Sync needs a video as input. For a photo that starts talking, use OmniHuman.

Which one gives a more natural result?

Sync, when you have a video — because the body, gaze and gestures are real and only the lips change. OmniHuman invents everything.

Does OmniHuman work with a generated face?

Yes, the input is a photo, no matter where it comes from. The content rules apply — the face of a real, recognizable person is not animated without their consent.

Where can I find the full details for OmniHuman and Sync?

This page compares the two brands with each other. The full technical card for each — all variants, their strengths and weaknesses, typical tasks and real examples from the community — is on its own page.

Which other model is worth comparing with?

All comparisons in one place

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