Mouth-Shape Accuracy Close-up
LongCat Avatar 1.5 focuses on precise mouth shapes and smooth facial transitions in a close speaking shot.
Upload a reference image and audio to create stable lip-sync avatar videos for speaking, singing, animation, and multi-person scenes.
Upload image and audio to create single or multi-person avatar videos.
Upload your image and audio to create an expressive lip-sync avatar video.
This page only analyzes the public product functions of LongCat Avatar 1.5. It intentionally excludes API, deployment, and third-party integration details.
LongCat Avatar 1.5 is an upgraded product model for audio-driven human video generation. Built on LongCat-Video, it supports Audio-Text-to-Video, Audio-Text-Image-to-Video, and Video Continuation for avatar scenes, with compatibility for single-stream and multi-stream audio.
Speech controls lips, expressions, posture, and timing.
Reference identity stays consistent over longer clips.
Continuation reduces visible drift across segments.
Faster generation behavior balances responsiveness and fidelity.
Demonstrate stronger mouth-shape accuracy, smooth expression transitions, identity consistency, and coherent full-body motion across long speaking shots and hand-object interactions.
Singing examples for dynamic motion, musical expression, and stable full-body or upper-body performance in LongCat Avatar 1.5.
Animation examples with expressive motion, stylized characters, and stable audio-driven performance from LongCat Avatar 1.5.
Multi-speaker and group interaction cases with stable identities and natural turn-taking behavior in LongCat Avatar 1.5.
Explore the core LongCat Avatar 1.5 features for audio-driven AI avatar video, including lip sync accuracy, identity consistency, image-guided control, video continuation, stylized animation, and multi-person speaker scenes.
Transforms speech and prompts into expressive human video with natural lip movement, facial dynamics, eye motion, and body gestures.
Supports audio + text + image generation so a reference portrait can stay visually consistent through long avatar outputs.
Extends avatar clips across segments while preserving color, details, and character identity instead of resetting every shot.
Handles one-person talking videos and multi-person conversations, including turn-taking and two-stream audio scenarios.
LongCat 1.5 emphasizes more natural mouth shapes, speech timing, and expression changes for audio-driven avatar videos.
The model is designed for realistic humans, animation, animals, performance, commerce, and complex real-world interactions.
LongCat Avatar 1.5 supports practical AI avatar video scenarios for broadcasting, education, singing performance, e-commerce presenters, multi-person interaction, animated characters, and animal-style avatar videos.
Singing, acting, expressive delivery, and entertainment scenes where mouth shape and body rhythm must stay aligned.
Product spokespersons, e-commerce marketing hosts, demos, and campaign assets with repeatable identity.
Multi-person dialogue with separate voices, speaker turns, and interaction-friendly character framing.
Anime, stylized avatars, non-human characters, and animal subjects that still follow audio-driven motion.
Compare LongCat Avatar 1.5 with commercial avatar models on mouth-shape accuracy, speech timing, expression transitions, and natural lip motion in the same speaking scenario.
Compare LongCat Avatar 1.5 with HeyGen, Kling Avatar 2.0, and OmniHuman-1.5 under similar inputs, focusing on stability, consistency, and natural lip motion.
Compare mouth-shape accuracy and natural lip motion under similar speaking input.
LongCat Avatar 1.5 upgrade samples highlight better mouth-shape accuracy, stronger long-video identity preservation, broader interaction scenarios, and faster product experience.
Answers about LongCat Avatar 1.5 lip sync, singing avatar video, animated characters, multi-person interaction, long-form stability, and product-focused demo behavior.
LongCat Avatar 1.5 is an audio-driven AI avatar video model for creating speaking, singing, animated, and multi-person avatar videos with stable identity and natural lip sync.
Its product value sits in the combination of speech-conditioned motion, reference identity, multi-person audio support, stylized generalization, and long-video continuation.