Ross ROSS = Recommend OSS · open-source software intelligence for agents

Zz-ww/SadTalker-Video-Lip-Sync

本项目基于SadTalkers实现视频唇形合成的Wav2lip。通过以视频文件方式进行语音驱动生成唇形,设置面部区域可配置的增强方式进行合成唇形(人脸)区域画面增强,提高生成唇形的清晰度。使用DAIN 插帧的DL算法对生成视频进行补帧,补充帧间合成唇形的动作过渡,使合成的唇形更为流畅、真实以及自然。 observed · 2026-08-28

github.com/Zz-ww/SadTalker-Video-Lip-Sync · Python observed · 2026-08-28

Health v2 · maintenance only

30/100

  • Activity 0
  • Release rhythm 35
  • Longevity 88

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1238
  • days_rel: n/a
  • days_push: 1187
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2009 stars · 343 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python tool built on SadTalker that generates lip-synced video from an audio file and a source video, with configurable face/lip region enhancement for sharper results. It optionally uses the DAIN deep-learning frame interpolation model to smooth lip motion by increasing the output frame rate.

Use cases

  • generate lip-synced video from an audio track
  • make a person in a video appear to speak given audio
  • improve lip sync clarity with face or lip region enhancement
  • interpolate video frames to make lip movement smoother
  • compare lip sync quality against wav2lip, retalking, and sadtalker
  • dub a video into another language with matching mouth movement

When to choose

  • you need audio-driven lip sync on an existing video rather than a single photo
  • you want sharper lip or face regions via configurable enhancement
  • you want smoother mouth motion through DAIN frame interpolation and have GPU capacity to spare

When to avoid

  • you need a permissively licensed project - no license is specified
  • you lack a CUDA GPU, since enhancement and DAIN interpolation are resource-heavy
  • you need real-time or production-grade lip sync rather than offline batch generation
  • you want an actively maintained project - the last release was mid-2023

Facets

library · maturity maintenance

video-processing machine-learning deep-learning image-processing cli deep-learning computer-vision artificial-intelligence media python cli lip-sync talking-head sadtalker wav2lip frame-interpolation dain face-enhancement audio-driven-video gpu-required video linux gpu

1 source

Member repositories

RepositoryRoleHealth v2
Zz-ww/SadTalker-Video-Lip-Syncmain30

For agents

markdown · JSON · MCP: product_card(name="Zz-ww/SadTalker-Video-Lip-Sync")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem