OmniHuman AI Avatar Generator
Developed by ByteDance, OmniHuman is an AI video generator framework that turns single photos into realistic talking clips synced to voice audio.
Kling 3 4K · cinematic
Veo 3.1 native audio
Seedance 2 #1 arena
Wan 2.7 image-to-video
Hailuo 2.3 expressive
Hunyuan open sourceKling 3 4K · cinematicVeo 3.1 native audioSeedance 2 #1 arenaWan 2.7 image-to-videoHailuo 2.3 expressiveHunyuan open sourceWhat is OmniHuman, and why it matters
OmniHuman is a video generation framework developed by ByteDance researchers that transforms a single still portrait and an audio clip into a synchronized talking human clip. Running OmniHuman on OnVid's AI video generator lets you produce realistic character motion without manual keyframing or complex 3D rigging.
What sets OmniHuman apart for talking avatars
Explore the core technical strengths that make OmniHuman a standout architecture for animating still portraits into expressive talking presenters with frame-accurate lip sync.
Photo to talking video AI conversion
OmniHuman turns a single still portrait into a fluid talking presenter using targeted motion priors. The framework links acoustic cues directly to lip shapes, eye blinks, and subtle brow micro-movements across every frame. You receive natural head posture adjustments that preserve facial identity from the original reference image.
OmniHuman vs Kling avatar in one studio
OnVid runs OmniHuman next to Kling AI Avatar v2 and v2 Pro in the same AI Avatar mode, with the same photo-plus-voice inputs. Render the same portrait and audio on each model and keep the take you like best, without moving between separate apps or accounts.
Audio-driven facial motion
OmniHuman is driven by the voice track itself, so mouth shapes, pauses and emphasis follow what is said. Plosive sounds, quick phrases and short silences shape the motion without any manual keyframing, and the clip length follows the length of your audio.
Head and upper-body motion
Rather than animating only the lips, OmniHuman moves the head and upper body along with the speech, which makes a still portrait read as a presenter. Results are steadiest with front-facing or three-quarter portraits.
Framing that follows your photo
OmniHuman animates the picture you give it, so the crop of your source photo sets the shot. Use a vertical portrait for Reels and Stories or a wider photo for a presentation-style clip.
Expressive musical and singing performance
OmniHuman supports melodic inputs, translating singing vocals and sustained musical pitches into extended vowel shapes and rhythmic head sways. Traditional portrait animators often falter during stretched musical notes, but this model dynamically widens mouth contours and raises brows to reflect vocal intensity. Creators can produce realistic performance clips from a single character portrait and an audio track.
Who creates with OmniHuman and what they make
Content creators and educators rely on OmniHuman to animate portrait photos into speaking presenters without studio cameras or expensive gear.
Educators using OmniHuman lip sync for digital lessons
Teachers and course creators upload a single headshot alongside spoken lecture audio to generate engaging lesson videos. The OmniHuman lip sync technology matches mouth shapes to spoken phonemes accurately so instructors can deliver localized tutorials without recording on camera.
OmniHuman plus the best AI video models in one place
Switch between specialized engines to fit each creative project, running OmniHuman alongside top video models directly inside OnVid's AI video generator without juggling separate accounts.
Cinematic 4K text-to-video with native audio and multi-shot consistency.
The only model with synchronized dialogue and sound.
Film-grade generation with strong prompt adherence and synced audio.
Sharp, physically accurate motion in crisp 4K.
Native 2K motion with synced audio and omni-reference — the Hailuo 3 generation.
Expressive, characterful motion with lively faces.
Black Forest Labs' unified image + video + audio model, with clips up to ~20 seconds.
Native 4K clips up to 30s with synced sound.
Fast clips with synced native audio.
| Model | Resolution | Max length | Best for | Speed |
|---|---|---|---|---|
| 1080p | 5s / 10s | Cinematic, multi-shot | Max quality | |
| 720p / 1080p / 4K | 8s | Native audio | Balanced | |
S2 Sora 2 | 720p / 1080p | 4s / 8s / 12s | Prompt adherence | Balanced |
| 480p / 720p / 1080p | 5s / 10s | Sharp motion | Fast | |
| 768p / 2K | 5s / 10s | 2K detail with sound | Balanced | |
| 768p | 6s / 10s | Expressive motion | Fast | |
| 1080p+ | ~20s | Unified multimodal | Max quality | |
| 480p / 720p / 1080p | 5s / 10s | References + video remix | Fast | |
| 480p / 720p | 6s | Fast clips with sound | Balanced |
How to generate AI videos with Omnihuman
Create synchronized talking clips in three steps by generating an OmniHuman video through OnVid's AI video generator.
Upload a portrait and speech audio
Add a clear front-facing portrait photo alongside a spoken voice recording or scripted dialogue file. OnVid supports standard image and audio formats so your source character is ready to animate immediately.
Kling 35s10s16:9Select OmniHuman and adjust movement settings
Pick OmniHuman from the model list to handle lip sync, head angles, and natural expressions. Review your video length and aspect ratio before confirming the creation.
Preview and export your finished AI video
Watch the portrait come alive with synchronized speech and expressive facial motion. Save your completed video to your device or copy a direct link to share with friends.
What creators make with OmniHuman AI videos
Discover how storytellers turn still portraits into natural speech clips by testing OmniHuman through OnVid for their daily projects.
“I uploaded a portrait photo with my podcast voiceover, and the mouth movements matched the audio cleanly. It saved me hours of camera setup and multiple takes.”
“Creating product walkthroughs used to require hiring actors or renting lighting gear. Now I can build clear explainer clips directly from voice tracks and a still image.”
“The natural head gestures and lip synchronization made my clips feel authentic rather than robotic. My audience noticed the jump in visual quality right away.”
Key capabilities and limits of OmniHuman
See how audio drives natural facial motion and speech sync, and learn how to get clean results from your photos.
Full-motion portrait animation from a single reference image
OmniHuman AI delivers responsive facial animation and body motion by processing an audio track alongside a single reference portrait. Rather than cropping strictly to the mouth area, the diffusion transformer architecture models subtle shoulder shifts, natural head tilt, and synchronized eye blinks across every frame. This structural approach preserves clothing texture, background consistency, and distinct facial contours without generating awkward warping artifacts around the jawline. When creators provide speech clips with varying cadences, the model aligns phonetic transitions to realistic micro-expressions, capturing organic pauses and vocal emphasis. Because the underlying system analyzes both acoustic rhythm and visual structure simultaneously, the resulting AI video maintains stable lighting and sharp focus throughout the entire clip. OnVid brings this capability directly into your browser, letting you animate still portraits into high-definition presentations without requiring motion capture suits or dedicated animation software. The output feels grounded and coherent, bridging the gap between static photography and full-motion presenter footage.
Audio and image inputs that power realistic movement
Running ByteDance OmniHuman effectively starts with pairing a clean portrait photograph with a clean spoken audio file. To achieve clean results, the input portrait should feature balanced front lighting, a forward-facing gaze, and minimal motion blur around the chin. Voice recordings recorded in a quiet environment produce superior motion cues because sharp vocal consonants guide mouth shapes with higher accuracy than muffled mobile voice notes. Inside OnVid's AI video generator, you simply upload your chosen headshot, then attach your voiceover track or type a script and pick a voice. Exploring the broader models catalog allows users to test different generative engines side by side, ensuring you match the right visual tone to your creative project. You can choose whether you want subtle corporate delivery or energetic social commentary simply by varying the tempo and pitch dynamics of your source audio. OnVid then renders your two inputs into a ready-to-share video file.
Comparing OmniHuman to alternative avatar generators
Evaluating OmniHuman vs Kling avatar workflows comes down to the clip you need. OnVid runs both OmniHuman and Kling AI Avatar v2 (Standard and Pro) in the same AI Avatar mode, and all three take the same inputs: one portrait photo plus a voice track, for a lip-synced clip of up to 30 seconds. That makes a side-by-side test simple: keep the photo and audio fixed, switch the model, and compare mouth shapes, head motion and identity hold on your own footage. OmniHuman is ByteDance's audio-driven human animation model, built to animate a person's face and upper body from speech rather than only the mouth area. If you are weighing dedicated avatar platforms instead, our AI avatar generator hub explains the presenter workflow, and the HeyGen vs OnVid comparison covers how a hosted avatar studio differs from running avatar models per clip. For scene footage without a speaker, a text-to-video model is the better tool; OmniHuman is for talking people.
Visual formats and presentation styles suited for speech generation
Generating an OmniHuman talking avatar works best for educational explainers, social media reels, and personalized customer messaging. Because the system respects facial anatomy across dynamic speech, it produces convincing results for corporate briefing videos, asynchronous team updates, and digital course walkthroughs. Independent creators frequently use the engine to bring historical figures to life from archive paintings, transforming museum portraits into animated speakers for short-form documentary channels. The model also handles stylized character art, digital illustrations, and photographic headshots with uniform stability, avoiding uncanny distortions across repeated syllables. Instead of only morphing the mouth area, it animates head and upper-body motion that follows the rhythm of the speech. The framing follows your source photo, so crop a vertical portrait for phone screens or a wider shot for presentations. Every rendered AI video delivers a coherent balance between vocal cadence and believable physical performance across professional and casual formats alike.
Can you generate clips with OmniHuman for free?
No. On OnVid, OmniHuman runs in the AI Avatar mode, which is part of the Pro and Max plans. You create an account, choose a plan, and spend credits per second of the talking clip. Pro costs $6.99 a week or $13.99 a month, and Max costs $13.99 a week or $27.99 a month. OmniHuman clips run from 5 up to 30 seconds on either plan, and the length follows your voice track. If you type a script instead of uploading audio, the voiceover is generated first and billed on top of the video. If a render fails, its credits are refunded to your balance automatically. HD downloads on Pro and Max carry no watermark. Regarding rights, commercial use depends on the model that made the video; check the OnVid Terms of Service and the model's terms before commercial use.
What affects OmniHuman lip sync and realism
OmniHuman lip sync quality depends mostly on what you feed it. A sharp, well-lit, front-facing or three-quarter portrait gives the model a clear face to animate, while extreme side profiles, heavy beauty filters or faces partly hidden by hands and hair give it less to work with. On the audio side, a clean voice recording with little background noise produces clearer mouth shapes than a muffled phone note, and natural pauses give the model room for head nods and resting expressions. Because OmniHuman animates head and upper-body motion along with the mouth, the result reads more like a presenter than a moving photo cut-out. Check the first second of each render: if the face drifts away from the person in your photo, try a higher-resolution portrait with even lighting before rendering again. If you plan a series, keep the same portrait and the same voice for every clip so viewers recognize the presenter from one video to the next, and write each script so it reads naturally out loud, with short sentences and clear pauses that give the model room for natural head movement.
Practical prompt strategies to refine OmniHuman results
Maximizing your photo to talking video AI pipeline requires thoughtful lighting in the source image and clean audio capture without background hum. Begin with a portrait where the subject sits against a neutral or softly blurred background, so the face stays the clear subject of the frame. Normalizing your voiceover audio file to consistent decibel levels prevents unexpected volume spikes from triggering exaggerated mouth openings. When configuring production settings, keep each clip to one speaker and one continuous voice track. Avoid using heavily filtered social selfies with extreme beauty smoothing, because natural skin micro-textures help the result keep the look of the original photo. If your character speaks with an expressive inflection, selecting source audio with deliberate pauses allows the engine to insert realistic head nods and resting expressions. These habits cut down on re-renders.
Watch real AI videos made with OnVid
Browse finished clips made with OnVid's AI video generator. Hover over any sample card to play the clip and preview its motion quality.
Kling 3Seedance 2MiniMax H3OmniHuman questions, answered
Find direct answers about creating realistic talking avatar clips, credit costs, and how OmniHuman handles photo-to-video generation on OnVid.
What does OmniHuman do?
Who developed ByteDance OmniHuman?
Is OmniHuman free to use on OnVid?
Which avatar models can I compare OmniHuman with on OnVid?
What is OmniHuman designed to create?
How does OmniHuman AI generate motion from a photo?
What visual quality and resolution does OmniHuman support?
What is the maximum video length for OmniHuman on OnVid?
How accurate is OmniHuman lip sync with custom speech?
How does photo to talking video AI handle artistic portraits?
How do you create an OmniHuman talking avatar on OnVid?
What video projects are best suited for OmniHuman?
What are the current limitations of OmniHuman?
How fast does OnVid's tool process OmniHuman requests?
Can you use OmniHuman videos for commercial projects?
How do you fix blurry mouth movement in an OmniHuman render?
Bring your portrait to life with expressive AI video
Turn any portrait and voice track into an AI video using OmniHuman on OnVid, with clips up to 30 seconds on Pro and Max plans.