# kwaivgi/kling-v2/ai-avatar

> Empower your applications with Kling AI Avatar. Instantly generate cinematic, hyper-detailed AI avatar videos for profiles and social media that strictly obey your prompts. Our ready-to-integrate API guarantees peak performance with absolutely zero cold starts.

## Overview

- **Endpoint**: `https://api.shortapi.ai/api/v1/job/create`
- **Model ID**: `kwaivgi/kling-v2/ai-avatar`
- **Category**: image-to-video
- **Kind**: inference

## Pricing

Standard: $0.048/sec, Pro: $0.098/sec.

For more details, please check our pricing page.

## 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:

- **`image`** (`string`, _required_):
  Avatar Reference Image

- **`sound_file`** (`string`, _required_):
  Sound File. Supports Base64-encoded audio or accessible audio URL. Accepted formats: .mp3/.wav/.m4a/.aac, max 5MB

- **`prompt`** (`string`, _optional_):
  Positive text prompt. Can be used to define avatar actions, emotions, and camera movements. Cannot exceed 2500 characters
  - Examples: "An action shot of a black lab swimming..."

- **`mode`** (`string`, _optional_):
  Video generation mode
  - Default: `std`
  - Options: "std", "pro"

### Output Schema

The API returns a JSON response with a `job_id` for tracking the request status.

**Create Job Response:**
```json
{
  "code": 0,
  "data": {
    "amount": "0.02",
    "job_id": "<JOB_ID>"
  }
}
```

**Query Job Result (when status is 2, meaning succeeded):**
```json
{
  "code": 0,
  "data": {
    "status": 2,
    "result": {
      "images": [{ "url": "https://..." }]
    }
  }
}
```

## Use Example

To use this model, make an HTTP POST request to the API endpoint, then poll for results using the returned `job_id`.

### Bash (cURL)
```bash
# Step 1: Create a job
response=$(curl --request POST \
  --url https://api.shortapi.ai/api/v1/job/create \
  --header "Authorization: Bearer $SHORTAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "kwaivgi/kling-v2/ai-avatar",
  "args": {
    "image": "https://file.shortapi.ai/assets/examples/kwaivgi/kling-v2/ai-avatar-image.webp",
    "sound_file": "https://file.shortapi.ai/assets/examples/kwaivgi/kling-v2/ai-avatar-sound_file.mp3"
  },
  "callback_url": "CALLBACK_URL"
}')
JOB_ID=$(echo "$response" | grep -o '"job_id": *"[^"]*"' | sed 's/"job_id": *//; s/"//g')

# Step 2: Poll for results
curl --request GET \
  --url "https://api.shortapi.ai/api/v1/job/query?id=$JOB_ID" \
  --header "Authorization: Bearer $SHORTAPI_KEY"
```

### JavaScript (Fetch API)
```javascript
// Step 1: Create a job
const response = await fetch(`https://api.shortapi.ai/api/v1/job/create`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "kwaivgi/kling-v2/ai-avatar",
    "args": {
      "image": "https://file.shortapi.ai/assets/examples/kwaivgi/kling-v2/ai-avatar-image.webp",
      "sound_file": "https://file.shortapi.ai/assets/examples/kwaivgi/kling-v2/ai-avatar-sound_file.mp3"
    },
    "callback_url": "CALLBACK_URL"
})
});
const data = await response.json();
const JOB_ID = data.job_id;

// Step 2: Poll for results
const result = await fetch(`https://api.shortapi.ai/api/v1/job/query?id=${JOB_ID}`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`
  }
});
const resultData = await result.json();
console.log(resultData);
```

### Python (Requests)
```python
import requests

# Step 1: Create a job
url = "https://api.shortapi.ai/api/v1/job/create"
payload = {
  "model": "kwaivgi/kling-v2/ai-avatar",
  "args": {
    "image": "https://file.shortapi.ai/assets/examples/kwaivgi/kling-v2/ai-avatar-image.webp",
    "sound_file": "https://file.shortapi.ai/assets/examples/kwaivgi/kling-v2/ai-avatar-sound_file.mp3"
  },
  "callback_url": "CALLBACK_URL"
}
headers = {
    "Authorization": f"Bearer {SHORTAPI_KEY}",
    "Content-Type": "application/json"
}

response = requests.post(url, headers=headers, json=payload)
data = response.json()
JOB_ID = data.get("job_id")

# Step 2: Poll for results
result_url = f"https://api.shortapi.ai/api/v1/job/query?id={JOB_ID}"
result = requests.get(result_url, headers={"Authorization": f"Bearer {SHORTAPI_KEY}"})
print(result.json())
```