Live Portrait
Efficient and Controllable Video-Driven Portrait Animation
Real-time neural face animation and high-fidelity celebrity lip-syncing for viral content creation.
Avatarify by Gradient represents a significant milestone in consumer-grade neural rendering. Leveraging a refined version of the First Order Motion Model (FOMM), the application enables real-time driving of static images using live video input or pre-recorded audio tracks. Unlike earlier open-source iterations, the Gradient-integrated version utilizes proprietary latent space optimizations to ensure temporal consistency and high-resolution output suitable for 2026 social media standards. The technical architecture relies on a sparse-to-dense flow estimation network that maps keypoint movements from a 'driving' video onto a 'source' image, effectively decoupling the identity of the target from the motion of the source. Positioned within the Gradient ecosystem, it benefits from localized mobile GPU acceleration (CoreML/NNAPI), allowing users to generate deepfake-style animations with sub-3-second latency. In the 2026 market, Avatarify bridges the gap between complex desktop-based deep-learning environments and instant-access mobile tools, making advanced face-swap and expression-mapping technology accessible to non-technical creators while maintaining strict data isolation on the device level for privacy-conscious users.
Uses keypoint-based animation that doesn't require pre-calculated 3D models of the face.
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
The ultimate AI creative lab for audio-reactive video generation and motion storytelling.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Advanced audio-to-viseme mapping that aligns mouth movements with phonetic structures in 30+ languages.
Utilizes Apple's Neural Engine and Android's AI Accelerator for local processing.
Linear interpolation sliders for adjusting the magnitude of facial deformations.
Simultaneous tracking and animation of up to three faces in a single source image.
Semantic segmentation to isolate the face while keeping the original background static.
Pre-trained models on high-quality celebrity datasets for more accurate 'look-alike' animations.
Creating high-engagement video content without high production costs.
Registry Updated:2/7/2026
Static greeting cards lack emotional impact.
Static historical figures feel disconnected from students.