Released by Kuaishou, Kling AI Avatar provides high quality AI avatar generation with full control, perfect for developers and content creators. Start creating with our Kling AI Avatar API today!
Audio-driven avatar video generation using Kling Avatar via PiAPI.
All generations run at the selected resolution. Aspect ratio and duration can be customized as documented in the API.
Upload Files
Click or drag a file (JPEG, JPG, PNG)
Preview Example
Example for Avatar Image (click to view)
Upload the avatar image that will be animated. Use a clear, front-facing image for best results.
Upload Files
Click or drag a file (JPEG, JPG, PNG)
Preview Example
Example audio for Dubbing Audio (for reference only)
Upload the audio file that will drive the avatar's lip-sync and motion.
Optional text description of the scene or speaking style to guide avatar generation.
Choose Standard or Professional mode. Professional mode offers higher quality at a higher price.
This shows preset sample previews. Sign in and click 'Generate video' to create your own.
Kling Avatar API accepts image, audio, and text prompts as input, enabling flexible control over avatar behavior, appearance, and narrative design. Kling AI Avatar's multimodal pipeline allows precise alignment between visual identity, speech timing, and instruction-based AI avatar generation.
Kling Avatar API generates videos at 1080p resolution and 48 FPS, delivering crisp visuals and smooth motion. It supports up to 1-minute video generation, making it ideal for explainers, news-style reporting, and long presentations.
Kling AI Avatar provides state-of-the-art lip-sync accuracy across singing, multilingual speech, and fast dialogue. It also offers expressive emotion control, supports realistic human and animal characters, and maintains visual and motion stability in long-duration extrapolated videos.
The Kling Avatar model supports English, Japanese, Korean, and Chinese, enabling natural and expressive AI avatar generation, suitable for content across multiple regions.
Kling AI Avatar leverages multimodal large language models (MLLM) for unified global planning, keyframe-controlled architecture, cross-attention mechanisms, enhanced lip-sync strategies, and optimized data processing for more robust results.
Tested on Kling AI's internal dataset of 375 image-audio-prompt samples, Kling AI Avatar demonstrates superior generation quality compared to leading avatar models such as Omnihuman-1 and HeyGen Avatar.
Standard mode avatar generation with identity consistency and style control.
Professional mode avatar generation with enhanced quality and advanced features.
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