Kling AI - Global Introduction

Kling AI utilizes a proprietary model architecture inspired by Scaling Law to simulate real-world physical characteristics in generated videos. It employs a unique 3D Variational Autoencoder (VAE) for face and body reconstruction, enabling detailed expression and limb movement. The model's 3D Spatiotemporal Joint Attention Mechanism allows it to handle complex scenes and movements, ensuring generated content adheres to the laws of physics. Kling AI's deep understanding of text-to-video semantics, combined with its powerful Diffusion Transformer architecture, enables it to transform rich imagination into concrete images, creating scenarios that may not exist in the real world. Additionally, Kling AI adopts a variable resolution training strategy, allowing for output in various video aspect ratios to meet diverse usage scenarios.