# Avatar Omni Human 1.5 — Atlas Cloud API > OmniHuman 1.5 is ByteDance's digital-human model that turns a single portrait plus an audio track into a lifelike video of that character speaking or singing, with lip-sync, expressions, and gestures generated straight from the audio. This is the machine-readable API reference for **Avatar Omni Human 1.5** on Atlas Cloud, a unified API platform for 400+ AI models across text, image, video, audio and 3D. - **Model ID**: `bytedance/avatar-omni-human-v1.5` - **Built by**: ByteDance - **Modality**: Video - **Model page**: https://www.atlascloud.ai/models/bytedance/avatar-omni-human-v1.5 - **API key**: https://www.atlascloud.ai/console/api-keys - **Docs**: https://www.atlascloud.ai/docs ## Pricing on Atlas Cloud - $0.12 per second of generated video - Pay-as-you-go. No minimum spend, no subscription required. > **These are the authoritative Atlas Cloud rates for this model.** Any price that > appears in the vendor description further down refers to a different platform or > a different model variant and does not apply here. ## Use this model from an AI agent Atlas Cloud ships three first-party integration surfaces. All three authenticate with the same API key via the `ATLASCLOUD_API_KEY` environment variable. ### MCP server The official MCP server (`atlascloud-mcp`) exposes this model to any MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose, Claude Desktop. One-line install: ```bash # Claude Code claude mcp add atlascloud -- npx -y atlascloud-mcp # OpenAI Codex CLI codex mcp add atlascloud -- npx -y atlascloud-mcp # Gemini CLI gemini mcp add atlascloud -- npx -y atlascloud-mcp export ATLASCLOUD_API_KEY="your-api-key" ``` Then ask in plain English; the agent calls `atlas_generate_video` with `model: "bytedance/avatar-omni-human-v1.5"`. The server fetches each model's schema and validates parameters before submitting, so invalid requests fail fast without spending credits. MCP docs: https://www.atlascloud.ai/docs/mcp-server ### Agent Skills `atlas-cloud-skills` is a portable skill package (API reference, code templates in Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and 12+ other agents: ```bash npx skills add AtlasCloudAI/atlas-cloud-skills export ATLASCLOUD_API_KEY="your-api-key" ``` Skills docs: https://www.atlascloud.ai/docs/skills ### CLI The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs are polled and downloaded automatically (use `--no-download` when a script only needs the output URLs): ```bash # Install (Homebrew, npm, or shell installer) brew install AtlasCloudAI/tap/atlascloud # npm install -g atlascloud-cli # curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh atlas auth login atlas generate video bytedance/avatar-omni-human-v1.5 -p "Your prompt here" ``` CLI docs: https://www.atlascloud.ai/docs/cli ## HTTP API reference - **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id` - **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes - **Model ID**: `bytedance/avatar-omni-human-v1.5` ## API Information This model can be used via our HTTP API or more conveniently via our client libraries. See the input and output schema below, as well as the usage examples. ### Input Schema The API accepts the following input parameters: - **`model`** (`string`, _required_): model name - Default: `"bytedance/avatar-omni-human-v1.5"` - **`prompt`** (`string`, _optional_): Optional hint for action / scene / expression (supports Chinese, English, Japanese, Korean, Spanish, Indonesian) - **`image_url`** (`string`, _required_): URL of the reference portrait image — a clear, front-facing face works best - **`audio_url`** (`string`, _required_): URL of the driving audio (MP3/WAV). Maximum 60 seconds; 15 seconds or less recommended for best quality. The avatar lip-syncs to this audio. - **`output_resolution`** (`integer`, _optional_): Output video resolution (720 or 1080) - Default: `1080` - Options: 720, 1080 - **`seed`** (`integer`, _optional_): Random seed; -1 for random - Default: `-1` **Required Parameters Example**: ```json { "model": "bytedance/avatar-omni-human-v1.5", "image_url": "", "audio_url": "" } ``` **Full Example**: ```json { "model": "bytedance/avatar-omni-human-v1.5", "prompt": "", "image_url": "", "audio_url": "", "output_resolution": 1080, "seed": -1 } ``` ### Output Schema The API returns the following output format: - **`created_at`** (`string`, _optional_): ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”). - **`id`** (`string`, _optional_): Unique identifier for the prediction, the ID of the prediction to get. - **`model`** (`string`, _optional_): Model ID used for the prediction. - **`outputs`** (`array[string]`, _optional_): Array of URLs to the generated content (empty when status is not completed). - **`status`** (`string`, _optional_): Status of the task: created, processing, completed, or failed. - **`urls`** (`object`, _optional_): Object containing related API endpoints. **Example Response**: ```json { "created_at": "", "id": "", "model": "", "outputs": [ "" ], "status": "", "urls": {} } ``` ## Usage Examples ### cURL ```bash # Step 1: Start generation (async) curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \ -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "bytedance/avatar-omni-human-v1.5", "prompt": "", "image_url": "", "audio_url": "", "output_resolution": 1080, "seed": -1 }' # Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}} # Step 2: Poll for result (replace {prediction_id} with the id returned above) curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \ -H "Authorization: Bearer $ATLASCLOUD_API_KEY" # Keep polling until status is "completed", "succeeded" or "failed" # When completed, outputs will contain the generated content URL(s) ``` ## Additional Resources ### Documentation - [Model Playground](https://www.atlascloud.ai/models/bytedance/avatar-omni-human-v1.5) ## About this model _Vendor-supplied description. Any pricing or endpoint mentioned below refers to_ _other platforms — use the Atlas Cloud values above._ ### Avatar Omni Human 1.5 **Turn a single portrait photo into a lifelike, lip-synced talking video — driven entirely by an audio clip.** Avatar Omni Human 1.5 (OmniHuman) by ByteDance is a state-of-the-art digital-human video generation model. Give it **one reference image** of a person and an **audio track**, and it generates a natural, expressive video of that person speaking — with accurate lip sync, head motion, and facial expressions that match the audio. --- #### Key Capabilities - **Audio-driven lip sync** — mouth movements precisely follow the speech in your audio. - **Identity preservation** — the generated person stays faithful to your reference image. - **Natural motion** — lifelike head pose, blinking, and micro-expressions, not a stiff talking head. - **Multilingual** — works with audio in many languages, including Chinese, English, Japanese, Korean, Spanish, and Indonesian. - **High resolution** — render output at up to 1080p. --- #### How It Works 1. Provide a **reference image** (a clear photo of a person) and a **driving audio** clip (the speech to be spoken). 2. The model animates the person to "speak" the audio, producing a full talking-head video. 3. The output video's duration matches the length of your audio. Generation is **asynchronous**: you submit a request and receive a task ID, then poll for the result. A typical clip takes a few minutes depending on audio length and resolution. --- #### Inputs _(Description truncated. Full text on the model page.)_ --- Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/bytedance/avatar-omni-human-v1.5 · Docs: https://www.atlascloud.ai/docs