LongCat-Video-Avatar 1.5 sharpens lip sync, stability

// 2h agoMODEL RELEASE

LongCat-Video-Avatar 1.5 sharpens lip sync, stability

Meituan’s LongCat-Video-Avatar 1.5 upgrades audio-driven talking-avatar generation with stronger lip synchronization, better temporal stability, and more expressive output across stylized and real-world avatar scenarios. It is aimed at developers building production-facing avatar video pipelines, with support for single- and multi-person generation, continuation, and faster distilled inference.

// ANALYSIS

Strong incremental release: this is less about a flashy new demo and more about making avatar generation reliable enough for real use.

–The main value is quality, not novelty: lip-sync, identity consistency, and motion stability are the headline improvements.
–Support for stylized avatars, anime, animals, and multi-person scenes makes it broader than a standard talking-head model.
–The 8-step distilled inference path is the practical hook for anyone trying to serve this cost-effectively.
–Best fit is teams already experimenting with AI avatar/video generation and looking for a more production-ready open model.

// TAGS

video-genmultimodalopen-sourcespeech

DISCOVERED

2h ago

2026-05-24

PUBLISHED

2h ago

2026-05-24

RELEVANCE

8/ 10

AUTHOR

AI Search

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