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

Upload the audio file

Use a clean voice track (recorded or TTS).
Trim long silences at the beginning and end.

Upload the image

A clear portrait or character image works best (front or slight 3/4 view).
Real people, stylized characters, or animals are all supported.

(Optional) Add a prompt

Describe the style and behavior, e.g.
“friendly teacher, gentle head nods”
“excited host, big smiles and energetic motion”

Submit the job and download the result

Create the task, wait for processing to finish, then download or stream the generated video.

Note

Max clip length per job: up to 5 minutes (or your configured backend limit).
Typical performance: longer and higher-resolution clips take more time to render.
Input tips:
Use high-resolution, well-lit images without heavy filters.
Avoid large occlusions (hands, masks, big sunglasses) around the mouth.

More Versions

Kling V2 AI Avatar Pro Advanced AI avatar generation for short-form video and social content, optimized for expressive faces, lip sync, and character-driven clips.
Infinite Talk Real-time conversational AI voice experience, ideal for interactive agents, roleplay characters, and always-on voice companions.

Reference

Build your own digital human – step-by-step guides for constructing avatar pipelines, from TTS to video generation and deployment.

Kling v2 Ai Avatar Standard API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v2-ai-avatar-standard with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Kling v2 Ai Avatar Standard below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v2-ai-avatar-standard" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "audio": "https://example.com/your-audio.mp3",
    "prompt": "A cinematic shot of a city at sunset, soft golden light"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("kwaivgi/kling-v2-ai-avatar-standard", {
        "image": "https://example.com/your-input.jpg",
        "audio": "https://example.com/your-audio.mp3",
        "prompt": "A cinematic shot of a city at sunset, soft golden light"
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "kwaivgi/kling-v2-ai-avatar-standard",
    {
    "image": "https://example.com/your-input.jpg",
    "audio": "https://example.com/your-audio.mp3",
    "prompt": "A cinematic shot of a city at sunset, soft golden light"
}
)

print(output["outputs"][0])  # → URL of the generated output

Kling v2 Ai Avatar Standard API — Frequently asked questions

What is the Kling v2 Ai Avatar Standard API?

Kling v2 Ai Avatar Standard is a Kuaishou model for talking-avatar generation, exposed as a REST API on WaveSpeedAI. 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. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Kling v2 Ai Avatar Standard API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-v2-ai-avatar-standard.

How much does Kling v2 Ai Avatar Standard cost per run?

Kling v2 Ai Avatar Standard starts at $0.28 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Kling v2 Ai Avatar Standard accept?

Key inputs: `prompt`, `image`, `audio`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-v2-ai-avatar-standard.

How long does Kling v2 Ai Avatar Standard take to generate?

Average end-to-end generation time on WaveSpeedAI is around 1259 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Kling v2 Ai Avatar Standard outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Kuaishou). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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