# Kling v2.6 Pro Avatar — Atlas Cloud API

> Kling V2 AI Avatar Pro generates high-quality AI avatar videos with clean detail, stable motion, and strong identity consistency—ideal for profiles, intros, and social content.

This is the machine-readable API reference for **Kling v2.6 Pro Avatar** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `kwaivgi/kling-v2.6-pro/avatar`
- **Built by**: Kuaishou
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/kwaivgi/kling-v2.6-pro/avatar
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.095 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: "kwaivgi/kling-v2.6-pro/avatar"`.
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 kwaivgi/kling-v2.6-pro/avatar -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**: `kwaivgi/kling-v2.6-pro/avatar`


## 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: `"kwaivgi/kling-v2.6-pro/avatar"`

- **`audio`** (`string`, _required_):
  The audio for generating the output.

- **`image`** (`string`, _required_):
  The image for generating the output.

- **`prompt`** (`string`, _optional_):
  The positive prompt for the generation.



**Required Parameters Example**:

```json
{
  "model": "kwaivgi/kling-v2.6-pro/avatar",
  "audio": "",
  "image": ""
}
```


**Full Example**:

```json
{
  "model": "kwaivgi/kling-v2.6-pro/avatar",
  "audio": "",
  "image": "",
  "prompt": ""
}
```


### 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": "kwaivgi/kling-v2.6-pro/avatar",
  "audio": "",
  "image": "",
  "prompt": ""
}'

# 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/kwaivgi/kling-v2.6-pro/avatar)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

#### Kling-v2-ai-avatar-pro — Talking Avatar from Image + Audio

**kling-v2-ai-avatar-pro** turns a single portrait into a lip-synced talking-head video driven by your own audio.
Upload a clear face image, provide a narration or dialogue track, and the model generates a vertical HD avatar clip that speaks and moves naturally on camera.

#### 🌟 Highlights

* **Audio-driven performance** – Uses your uploaded audio as-is (no TTS), keeping timing, pauses and emotion.
* **Photo-real talking avatar** – Animates the face, eyes and head while preserving the identity from the reference image.
* **One-shot setup** – Just an image + audio; no need for video capture or motion recording.
* **Portrait-ready output** – Produces social-ready vertical video that fits Reels, TikTok, Shorts and story formats.
* **Prompt-guided styling** (optional) – Use **prompt** to hint at camera feel or mood (e.g. *“soft studio lighting, subtle head movement, gentle smile”*).

#### 🔧 Parameters

* **audio*** – Required. The voice track that drives lip-sync and timing (URL or upload).
* **image*** – Required. A clear, front-facing portrait of the person to animate.
* **prompt** – Optional text describing style, expression or camera feel. If omitted, the model uses a neutral talking-head style.

> Tip: Use a well-lit, unobstructed face (no heavy motion blur, minimal occlusion) for best identity preservation.

#### 🚀 How to Use

1. Upload audio

Clean mono/stereo track, with minimal background noise.
Make sure the final edited length matches what you want in the video.
2. Upload image

Front or 3/4 view, eyes visible, face not cropped.
The avatar’s identity and pose come from this image.
3. (Optional) Add a prompt

Guide expression or style, e.g.:

“confident presenter in a tech promo, subtle head nods”
“friendly customer service tone, warm expression”
4. Run the model

_(Description truncated. Full text on the model page.)_

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/kwaivgi/kling-v2.6-pro/avatar · Docs: https://www.atlascloud.ai/docs