Live Portrait
Efficient and Controllable Video-Driven Portrait Animation
The ultimate AI creative lab for audio-reactive video generation and motion storytelling.
Kaiber is a high-performance generative video platform engineered for the 2026 creative economy, specializing in temporal consistency and complex audio-visual synchronization. Built on a proprietary blend of diffusion models and frame-interpolation architectures, Kaiber enables creators to transform text, images, and audio into cinematic narratives. Its technical edge lies in its 'Audioreact' engine, which maps audio frequencies to visual parameters in real-time, allowing for precise rhythmic synchronization that traditional video editors cannot match. By 2026, Kaiber has positioned itself as the industry standard for music video production and digital marketing storytelling, offering advanced features like 'Storyboard Mode' and 'Motion Control' which allow for non-linear video generation. The platform operates on a decentralized GPU compute model to maintain high-throughput rendering even at 4K resolutions. Its architecture supports cross-platform workflows, facilitating seamless movement from mobile interfaces to professional studio environments. Market positioning focuses on the intersection of professional artistry and accessible AI, providing tools that serve both independent musicians and high-budget production houses looking for rapid prototyping and stylized output.
Uses FFT (Fast Fourier Transform) to analyze audio signals and map them to latent space variables in the diffusion process.
Efficient and Controllable Video-Driven Portrait Animation
Turn 2D images and videos into immersive 3D spatial content with advanced depth-mapping AI.
High-Quality Video Generation via Cascaded Latent Diffusion Models
A creative AI video generation engine designed for musicians, artists, and storytellers to produce audio-reactive visuals.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Allows users to define keyframes and transition prompts for structured narrative control.
Direct manipulation of camera parameters (zoom, pan, rotate) within the generative loop.
Temporal consistency layers applied over uploaded footage using controlnet-based architectures.
Users can upload a dataset of images to fine-tune a personal style LoRA (Low-Rank Adaptation).
Deep learning algorithms that generate intermediate frames to increase FPS without losing detail.
Enables different prompts for foreground and background elements using segmentation masks.
High cost and time required for high-concept animated music videos.
Registry Updated:2/7/2026
Render in 4K.
Fast fatigue of static ad assets on platforms like TikTok.
Need for long-form, looping visual content for live performances.