
ByteDance's Avatar Omni Human 2.0 is an audio-driven model for character animation. Support for multi-person scenes and dynamic gestures extends avatar creation to shared performances with expressive character movement. On Atlas Cloud, integrate the model through API access and use its model-specific parameter schema to configure inputs for your video workflow. Start building today.
Avatar Omni Human 2.0 is developed by ByteDance. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.
Compare the image and audio inputs, video output, and verified capabilities of the Avatar Omni Human 2.0 endpoint.
| Modality | Description |
|---|---|
| Avatar Omni Human 2.0 API (Image and Audio To Video) | Turn one image and an audio track into a 720p video of one or more characters speaking or singing. Avatar Omni Human 2.0 supports dynamic gestures, multi-person scenes, prompt-directed camera movement, and clips up to five minutes, making it suitable for avatar presentations, performances, and dialogue videos. |
Avatar Omni Human 2.0 turns one image and an audio track into 720p speaking or singing videos with dynamic gestures, scenes with multiple characters, prompt directed camera movement, clips up to five minutes, and unified pay as you go API access through Atlas Cloud.
Start with one image and one audio track to create a 720p video of the character speaking or singing. Avatar Omni Human 2.0 uses the source image to establish the character while visible movement and dynamic gestures shape the performance. This compact workflow turns a still character into presenter clips, music visuals, and narrative moments while keeping image and audio as the core inputs.
Audio drives the speaking or singing performance, shaping timing and dynamic gestures throughout the clip. Spoken lines and sung phrases provide the rhythm while the reference image establishes the character on screen. The result fits narration, musical performances, and dialogue scenes where visible delivery needs to feel connected to the soundtrack from the first beat to the last.
Need room for a full explanation or song? Avatar Omni Human 2.0 can generate clips up to five minutes from one image and an audio track, extending beyond short social snippets. Use that duration for lessons, product walkthroughs, performances, or serialized character content. Longer outputs reduce the need to divide a single performance into many separate videos.
Guide the performance with a text prompt that can direct camera movement around the character and scene. Shift from a close view to a wider composition, request an orbit, or shape how the framing follows the audio driven performance. This added direction gives creators more control over explainers, narrative moments, and music driven sequences while preserving the simple image and audio workflow.
Bring several characters into the same Avatar Omni Human 2.0 scene for shared speaking or singing performances. Dynamic gestures and audio driven motion animate the cast within one composition rather than isolating every character. Interviews, duets, ensemble performances, and scripted exchanges gain a more natural sense of interaction when the story depends on more than one visible participant.
Connect Avatar Omni Human 2.0 to an existing product through Atlas Cloud's unified API and one OpenAI compatible key. Transparent pay as you go pricing lets developers generate only the video volume they need, while the same integration reaches other Atlas Cloud models. This setup suits applications and automated content pipelines that need avatar generation without managing a separate integration for every model.
Compare how Avatar Omni Human 2.0 and two alternative video models interpret identical prompts across realistic performance and stylized action scenes.
Create a 9-second cinematic action sequence that faithfully preserves the reference portrait’s facial identity, transforming the subject into a 1960s retro-science-fiction alpine observatory mechanic. In a cobalt-blue blizzard, the runaway dome suddenly spins as exposed brass gears clash and spark; begin with a rapid low-angle push across the snowy ground as the mechanic lunges onto frost-covered rails, grabs a wildly swinging brass telescope, and struggles forward, his scarlet scarf and work coat snapping violently in the wind. Cut to a tight orbiting tracking shot as he ducks beneath a sweeping ladder frame, braces against the telescope’s momentum, and reaches for the brake lever amid swirling snow mist and colliding machinery. Cut to a dramatic overhead view inside the rotating dome: a crack in the roof briefly aligns with the luminous Milky Way, bathing his consistent face in starlight as he yanks the brake; the gears shudder, the dome stops, and the telescope settles with believable weight. Whip-pan to his nearby steaming coffee, then crash-zoom into the cup as a tiny glowing meteorite plops into it with a sharp hiss; cut to his close-up as startled disbelief becomes a barely suppressed grin. Continuous energetic motion, seamless stunt choreography, realistic cloth, snow, inertia, impacts, sparks, and mechanical physics; no slow motion. Technicolor 1960s adventure-film palette, exquisitely detailed practical miniature-model craftsmanship, cobalt-blue snow night, burnished copper-gold machinery, vivid scarlet scarf, dramatic hard backlight, subtle film grain, anamorphic flares, tactile analog effects. Audio: roaring wind, metallic gear crashes, rattling rails, straining cables, a decisive brake clank, sudden mechanical silence, then the meteorite’s comic plop and sizzle, punctuated by a brisk retro orchestral sci-fi score. 16:9 aspect ratio.
Generated with Avatar Omni Human 2.0 on Atlas Cloud
Generated with Gemini Omni Flash Image-to-Video on Atlas Cloud
Generated with Avatar Omni Human 1.5 on Atlas Cloud
A 9-second cinematic micro-story: the same photorealistic courier in a vivid vermilion raincoat, with consistent face, clothing, and proportions throughout, accidentally enters a colossal handcrafted origami city just after a torrential downpour. In a cold cyan-blue alley of towering folded-paper buildings, warm amber windowlight glowing through their creases, a giant paper crane snatches the courier’s parcel and darts away. Start with an ultra-low ground-level tracking shot racing beside the courier’s pounding boots as they sprint through mirror-like puddles, reflections forming striking symmetrical compositions; raindrops splash toward the lens and massive folded-paper foreground shapes sweep past in strong perspective. The courier vaults a puddle and ducks beneath a curling paper bridge that flexes, wrinkles, and crackles with believable paper physics. Whip-pan seamlessly into the crane’s top-down aerial POV as it banks between origami rooftops, the courier still running below; then dive rapidly toward them and transition into a tight 360-degree orbit as the courier leaps, catches the crane, and snatches back the parcel midair. The instant they land, the parcel playfully unfolds itself with precise stop-motion creases into an enormous paper umbrella; its canopy snaps open and lifts both the startled courier and flapping crane into the rainy sky for a whimsical final reveal. Hybrid aesthetic combining a lifelike human performance, cinematic rain and reflections with tactile handmade origami stop-motion texture; crisp paper fibers, wet surfaces, convincing weight, momentum, splashes, bending folds, and continuous complex motion. Layered framing through foreground paper edges, dramatic wide-angle distortion, cool teal storm light anchored by the red coat and warm yellow windows. Rhythmic synchronized audio: raindrops, wet footsteps, sharp paper crackles, wing flaps, and the umbrella’s final percussive pop perfectly aligned with each movement; playful minimal percussion builds through the chase and lands on the airborne twist. No screens, interfaces, dashboards, progress bars, charts, captions, logos, subtitles, readable text, frozen poses, slow-motion filler, identity drift, costume changes, duplicate limbs, broken anatomy, teleportation, discontinuous motion, incoherent cuts, plastic-looking paper, or implausible physics. 16:9 aspect ratio.
Generated with Avatar Omni Human 2.0 on Atlas Cloud
Generated with Gemini Omni Flash Image-to-Video on Atlas Cloud
Generated with Avatar Omni Human 1.5 on Atlas Cloud
From product explainers and lessons to multi-person dialogue, singing performances, social stories, and long form updates, Avatar Omni Human 2.0 turns one image plus audio into prompt-directed 720p avatar video.
Turn one character image and a narration track into a 720p presenter video with prompt-directed camera movement. Product teams can produce guided demos, launch explainers, and feature walkthroughs without filming a live host.
Create five-minute teaching videos from a single image and recorded lesson audio, supported by dynamic gestures. Educators and training teams can publish lectures, onboarding modules, and policy briefings with a consistent on-screen presenter.
Stage conversations from one image and an audio track while Avatar Omni Human 2.0 animates multiple people. Media creators can build interview segments, panel discussions, or character exchanges with coordinated speaking performances.
Pair a character image with music or vocals to generate a 720p singing performance with expressive gestures. Artists and entertainment teams can create virtual performances, music promos, and character-led fan content.
Direct camera movement and character behavior through prompts, then let the supplied audio drive the performance. Social teams gain reusable talking-character clips for announcements, scripted stories, campaign posts, and episodic content.
Keep one avatar speaking or singing for clips up to five minutes, with gestures that follow the audio. Organizations can publish executive updates, event messages, narrated explainers, and recurring communications in a consistent format.
Compare Avatar Omni Human 2.0 with three Atlas Cloud video models by provider, input workflow, clip length, resolution, and catalog base price.
| Model | Provider | Input Workflow | Max Clip Length | Output Resolution | Catalog Base Price |
|---|---|---|---|---|---|
| Avatar Omni Human 2.0 | ByteDance | Image + audio + optional prompt | Up to 5 minutes | 720p | $0.07 |
| Avatar Omni Human 1.5 | ByteDance | Image + audio + optional prompt | Up to 60 seconds at 720p | 720p or 1080p | $0.12 |
| MiniMax H3 Image-to-Video | MiniMax | First frame + optional last frame + prompt | 5 to 15 seconds | Up to 2K | $0.038 per second |
| Veo 3.1 Lite Start-End Frame to Video | First frame + last frame + prompt | 8 seconds | 720p or 1080p | $0.05 |
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Combining the advanced Avatar Omni Human 2.0 models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Avatar Omni Human 2.0, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
Avatar Omni Human 2.0 is ByteDance's audio driven avatar video model. It transforms one image and an audio track into a 720p video of the character speaking or singing with synchronized expressions and gestures.
Create talking presenters, digital singers, character performances, and multi person scenes from a single reference image. Optional prompts can shape actions, scene elements, and camera movement for more directed results.
Create an Atlas Cloud API key and select bytedance/avatar-omni-human-v2.0 as the model in your request. Provide one image and one audio track, then include an optional prompt when you need additional performance or camera control.
Each request combines one reference image with an audio track. You may also supply a text prompt to guide the scene, character movement, specific actions, and camera behavior.
Yes, the model can animate characters performing speech or songs and supports scenes containing multiple people. Audio drives the performance while gestures and reactions are generated within the selected composition.
Videos are generated at 720p and can run for up to five minutes. This duration supports longer presentations, performances, and narrated character content without splitting the project into several short clips.
Atlas Cloud lists a standard price of $0.07 per second. Usage follows pay as you go pricing, so the total cost scales with the generated video duration.
Basic lip sync tools primarily coordinate mouth movement with speech. This model also aligns expressions and gestures with the audio while accepting prompt guidance for actions, scene details, and camera movement.
First confirm that the request includes both an image and an audio track and that any referenced media URLs are accessible. Compare every field with the current Atlas Cloud playground schema, then use the returned error details to correct the payload before retrying.
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