Explore frontier AI models by provider, pricing, and context
Browse the synced model catalog by provider, release, pricing, and core capabilities.
ByteDance
2 models
LatentSync
Release date unavailable
LatentSync is an end-to-end lip-synchronization model developed by ByteDance that takes a source talking-head video and a target audio track as inputs and produces a new video with mouth movements precisely aligned to the provided speech. It is built on audio-conditioned latent diffusion, meaning it operates directly in the latent space rather than relying on 3D meshes or 2D facial landmarks. The model supports multiple languages and accents, works with diverse speakers and recording conditions, and handles both real people and stylized characters such as anime. A key technical feature of LatentSync is Temporal REPresentation Alignment (TREPA), a technique designed to reduce flicker, jitter, and frame-to-frame artifacts, keeping head pose and lip motion stable across longer sequences. The model is recommended for use with high-resolution source videos — 720p, 1080p, or 4K — paired with clean audio recordings. It is well suited for workflows involving lip-syncing, audio dubbing, digital human creation, and video-audio alignment.
Omni Human 1.5
Release date unavailable
OmniHuman 1.5 is an avatar animation model developed by ByteDance that converts still images into fully animated digital humans using audio input. It generates synchronized lip movements, facial expressions, and body language by combining audio signals with semantic understanding from Multimodal Large Language Models. The model is built on a dual-system cognitive architecture inspired by System 1 and System 2 theory, enabling both fast reactive animations and deliberate, context-aware responses. It supports a context window of 50,000 tokens and was trained through September 2025. The model works across a wide range of visual styles, including realistic photographs, anime characters, illustrated portraits, and stylized artwork, as well as non-human subjects like animals and anthropomorphic figures. It can produce videos exceeding one minute in length with dynamic motion, camera movement, and multi-character interactions. OmniHuman 1.5 is suited for use cases such as virtual persona creation, NPC animation in games, AI spokesperson production, virtual instructor development, and video content creation without large production teams. It accepts image URLs and audio URLs as inputs.
Kling
1 models
HeyGen
1 models
MeiGen
1 models