# TMElyralab/MuseTalk

MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting

Repository: https://github.com/TMElyralab/MuseTalk
Canonical: https://ross.abutalabs.com/products/musetalk
Language: Python
License: NOASSERTION
License Family: other
Topics: lip-sync, virtualhumans
Last push: 2025-09-26T05:44:17+00:00

## Health v2 (maintenance only)
Score: 45/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 44, release rhythm 35, longevity 63
- inputs: {"age_days": 890, "days_push": 341, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6459, forks 931 (observed 2026-08-28T04:09:43.589848+00:00)

## What it is
MuseTalk is a real-time, high-fidelity lip-sync model that modifies a face region in video according to input audio via latent space inpainting. It runs at 30fps+ on an NVIDIA V100 and supports multiple languages, with inference, training code, and model weights available.

## Use cases
- synchronize a person's lips in a video to new audio
- dub videos into other languages with matching lip movement
- build a talking virtual human avatar from a video
- real-time lip-sync for live streaming avatars
- retime an actor's mouth to a different voice track
- generate lip-synced video from text-to-speech audio

## When to choose
- you need real-time (30fps+) lip-sync inference on a GPU
- you want to dub video into Chinese, English, or Japanese with accurate mouth movement
- you need both inference and training code for a lip-sync model
- you're building a virtual human pipeline alongside video generation tools

## When to avoid
- you need full-face reenactment or head pose control, not just the mouth region
- you have no GPU available for inference
- you need a permissive license - the license is custom/non-standard
- you need 4K or full-frame generation rather than a 256x256 face region

## Facets
- artifact type: library
- maturity: active
- function: video-processing, machine-learning, deep-learning, speech-recognition, image-processing
- domain: artificial-intelligence, deep-learning, media
- platform: python, cli
- tags: lip-sync, talking-head, video-dubbing, virtual-human, audio-driven, latent-space-inpainting, real-time-inference, video, gpu, linux

## Member repositories
- TMElyralab/MuseTalk (main) score 45

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.589848+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:44:38.032294+00:00, confidence not recorded.
  - readme: https://github.com/TMElyralab/MuseTalk (fetched 2026-08-28T04:09:43.589848+00:00, sha 2f8d8f854b6a)
- Data as of 2026-08-30T08:39:29.467469+00:00.