# Kling v2.6 Std Avatar — Atlas Cloud API

> Kling AI Avatar generates high-quality AI avatar videos for profiles, intros, and social content, delivering clean detail and cinematic motion with reliable prompt adherence.

This is the machine-readable API reference for **Kling v2.6 Std 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-std/avatar`
- **Built by**: Kuaishou
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/kwaivgi/kling-v2.6-std/avatar
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.048 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-std/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-std/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-std/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-std/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-std/avatar",
  "audio": "",
  "image": ""
}
```


**Full Example**:

```json
{
  "model": "kwaivgi/kling-v2.6-std/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-std/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-std/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 Standard

#### What is Kling V2 AI Avatar Standard?

Kling V2 AI Avatar Standard turns a **single image + one audio track** into a realistic talking-avatar video.

 It’s built on the Kling V2 avatar stack, combining precise lip sync, rich facial expressions, and smooth head motion to create natural digital presenters for intros, explainers, tutorials, and more.

It works with human portraits, stylized characters, or even pets, animating them to speak or sing while keeping their visual identity consistent across the entire clip.

#### Why it looks great

* Accurate lip synchronization:
Aligns mouth shapes and jaw movement tightly with the audio, preserving rhythm, pronunciation, and timing even for fast speech.
* Expressive face & head motion:
Goes beyond lip movement to animate head turns, eye blinks, eyebrow motion, and micro-expressions that follow the emotion of the voice.
* Identity preservation:
Maintains consistent facial identity, hairstyle, and overall visual style from frame to frame, so the avatar always looks like the source image.
* Image-to-video capability:
Turns static photos or character art into lively speaking or singing videos, adapting motion to realistic or stylized input images.
* Instruction following:
Accepts optional text prompts to control mood, energy, and behavior (e.g., “calm news anchor” vs “high-energy streamer”), while still syncing to the audio.

#### Pricing

Billing is based on **audio duration**, with a **minimum of 5 seconds**.

| Audio length (s) | Billed seconds | Price (USD) |
| :--- | :--- | :--- |
| 0–5 | 5 | 0.28 |
| 10 | 10 | 0.56 |

Any clip shorter than 5 seconds is still billed as 5 seconds.

##### Billing Rules

* **Minimum Charge:** All videos are billed for a **minimum of 5 seconds** *(at least $0.15)*
* **Billing Cap:** Billing is capped at **300 seconds (5 minutes)** per job.

#### How to Use

1. Upload the audio file

_(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-std/avatar · Docs: https://www.atlascloud.ai/docs