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Explore different use cases and parameter configurations
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| Rule & Modality | Channel | Credits | Price (USD) | Official / Reference Price | Daily Savings |
|---|---|---|---|---|---|
kling-avatar-v2-pro videoKlingmode: pro | Starter | 1per second | $0.005 | - | - |
kling-avatar-v2-std videoKlingmode: std | Starter | 0.8per second | $0.004 | - | - |
Complete guide to using kling-avatar-v2
Generate realistic talking avatar videos from a single image and audio file using Kling AI Avatar v2 API. Create lifelike lip-sync animations with natural expressions and body movements.
Developed by KuaiShou, Kling Avatar v2 is an advanced AI-powered talking avatar generation system that creates realistic video content from a single reference image and audio file. The system analyzes the audio to generate accurate lip movements, facial expressions, and natural body gestures that synchronize perfectly with the speech. This technology enables the creation of virtual spokespersons, digital presenters, and animated characters without requiring complex motion capture equipment or manual animation. The Kling Avatar v2 API provides programmatic access to this capability, allowing developers to integrate talking avatar generation into their applications, platforms, and production workflows.
The Kling AI Avatar v2 Standard API generates talking avatar videos at 720p resolution with optimized processing speed. It delivers natural lip-sync and body movements suitable for social media content, marketing materials, and high-volume production where efficiency and cost-effectiveness are priorities.
The Kling AI Avatar v2 Pro API produces talking avatar videos at 1080p resolution with enhanced visual quality. This mode is ideal for professional presentations, broadcast content, and premium productions where higher resolution and refined details are essential.
The Kling Avatar v2 API generates highly accurate lip movements that synchronize perfectly with the input audio. The system analyzes speech patterns, phonemes, and timing to produce natural mouth movements that match the audio content, creating believable talking avatar videos.
With the Kling AI Avatar v2 API, avatars display realistic facial expressions that complement the speech content. The system generates appropriate emotional expressions, eye movements, and micro-expressions that bring the avatar to life and enhance viewer engagement.
The Kling Avatar v2 API adds natural body movements and gestures to the generated video. Hand gestures, head movements, and shoulder motions are synthesized to create a more dynamic and engaging presentation that mimics real human behavior during speech.
The Kling AI Avatar v2 API supports optional text prompts to guide the avatar's actions, expressions, and camera movements. Developers can specify desired behaviors, emotional tones, and presentation styles to customize the output for different use cases and audiences.
The Kling Avatar v2 API requires only a single reference image to generate a talking avatar video. The system extracts facial features, appearance details, and body structure from the image to create a consistent and recognizable character throughout the generated video.
Get started with our product in just a few simple steps...
Create an account and register for access to obtain your Kling AI Avatar v2 API Key. This API key authenticates all requests to the Kling Avatar v2 API and links usage to your account. Once issued, the key allows your application to securely call talking avatar generation endpoints and manage generation tasks programmatically.
Before integrating the API into your system, use the playground to test the Kling AI Avatar v2 API in an interactive environment. Upload a reference image and audio file, add optional prompts for behavior control, and preview generated results. This step helps you validate input quality and understand the output before moving to production.
After testing, integrate the Kling Avatar v2 API into your backend or application logic. Define how reference images, audio files, prompts, and generation parameters are passed through API requests. This integration enables automated talking avatar video generation as part of your existing workflows or services.
Deploy your integration to a production environment using the Kling AI Avatar v2 API. Typical deployment includes handling asynchronous generation jobs, tracking task status, and storing or delivering generated video outputs. This step connects talking avatar generation to real user-facing or internal production pipelines.
Once deployed, scale talking avatar video generation with the Kling AI Avatar v2 API by optimizing image selection, audio quality, and generation mode choices. As demand grows, the API supports high-volume workloads, allowing teams to expand production while maintaining stable output quality and predictable resource usage.
To achieve stable, high-quality results with the Kling AI Avatar v2 API, it is important to carefully prepare your reference image and audio file. Following the guidelines below will help ensure accurate lip-sync, natural expressions, and consistent outputs.
Choose reference images with clear visibility of the face, head, shoulders, and torso. The image should have good lighting, minimal occlusion, and a neutral or front-facing pose. Avoid images with heavy makeup, extreme angles, or significant facial obstructions that may affect lip-sync accuracy.
Use audio files with clear speech and minimal background noise. The audio should have consistent volume levels and avoid overlapping voices or music. Clean audio helps the system generate more accurate lip movements and natural timing in the avatar video.
Use the optional prompt parameter to guide the avatar's behavior, expressions, and camera movements. Descriptive prompts like 'confident presenter with professional gestures' or 'friendly spokesperson with warm smile' help the system generate more targeted and contextually appropriate animations.
The Kling AI Avatar v2 API enables marketers to create talking spokesperson videos at scale. By combining brand images with scripted audio, teams can produce consistent marketing content for campaigns, product announcements, and social media without repeated video shoots or talent coordination.
With the Kling Avatar v2 API, educational content creators can generate instructor-led videos from static images and narration audio. This enables scalable production of training materials, course content, and educational videos with consistent presenter appearance across multiple lessons.
The Kling Avatar v2 API supports the creation of AI influencers and virtual presenters for social media and streaming platforms. Content creators can generate talking videos from character images, enabling virtual personas to deliver scripted content with realistic lip-sync and expressions.
For customer service applications, the Kling AI Avatar v2 API can generate personalized video responses from text-to-speech audio. This enables chatbots and support systems to deliver video messages with a human-like presence, improving customer engagement and communication clarity.
apipass.dev offers affordable Kling AI Avatar v2 API pricing designed for real production workloads. The pricing model supports scalable talking avatar generation with predictable resource usage, making it suitable for continuous use across development, testing, and deployment stages without unnecessary cost pressure.
The Kling AI Avatar v2 API documentation provides clear, structured guidance for developers throughout the entire integration lifecycle. From API key setup and playground testing to deployment and scaling, the documentation includes practical explanations and examples that help teams implement talking avatar workflows efficiently.
With 24/7 Kling AI Avatar v2 API support, apipass.dev ensures continuous service availability and responsive technical assistance at all times. Whether during integration, production deployment, or ongoing operation, teams can rely on around-the-clock support to keep talking avatar generation stable and running smoothly.
All APIs require authentication via Bearer Token.
Authorization: Bearer
Create a new Kling Avatar v2 generation task
The API accepts a JSON payload with the following structure:
1{
2 "model": "string",
3 "callBackUrl": "string (optional)",
4 "channel": "auto",
5 "input": {
6 // Input parameters based on form configuration
7 }
8}modelRequiredstringThe model name to use for generation
"kling/avatar-v2"
callBackUrlOptionalstringCallback URL for task completion notifications.
"https://your-domain.com/api/callback"
channelOptionalstringYou may specify the corresponding provider within APIPASS via the channel parameter; these providers handle the actual image and video generation tasks. APIPASS currently offers three provider options:
The default value for the channel parameter is auto. When enabled, APIPASS automatically allocates tasks across available providers based on real-time pricing and stability metrics to balance minimal cost and reliable performance. Retain the default auto value unless you have custom routing requirements.
Available options:
auto
The input object contains the following parameters based on the form configuration:
input.imageRequiredstring (URL)Avatar reference image URL. The photo must clearly show the subject's head, shoulders, and torso.
Accepted formats: .jpg/.jpeg/.png; Max size: 10MB; Min dimension: 300px; Aspect ratio: 1:2.5 to 2.5:1
"https://example.com/avatar-image.jpg"
input.audioRequiredstring (URL)Audio file URL for lip-sync and avatar animation.
Accepted formats: .mp3/.wav/.m4a/.aac; Max size: 5MB
"https://example.com/speech-audio.mp3"
input.promptOptionalstringText prompt to define the avatar's actions, expressions, and camera movements.
Max length: 2500 characters
"A professional spokesperson delivering a speech with confident gestures"
input.modeOptionalstringVideo generation mode. Default is 'std'.
Available options:
"std"
1curl -X POST "https://api.apipass.dev/api/v1/jobs/createTask" \
2 -H "Content-Type: application/json" \
3 -H "Authorization: Bearer YOUR_API_KEY" \
4 -d '{
5 "model": "kling/avatar-v2",
6 "callBackUrl": "https://your-domain.com/api/callback",
7 "input": {
8 "image": "https://example.com/avatar-image.jpg",
9 "audio": "https://example.com/speech-audio.mp3",
10 "prompt": "A professional spokesperson delivering a speech with confident gestures",
11 "mode": "std"
12 }
13 }'1{
2 "code": 200,
3 "message": "success",
4 "data": {
5 "taskId": "task_12345678"
6 }
7}codeStatus code, 200 for success, others for failure
messageResponse message, error description when failed
data.taskIdTask ID for querying task status
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