# 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。

Repository: https://github.com/Zz-ww/SadTalker-Video-Lip-Sync
Canonical: https://ross.abutalabs.com/products/sadtalker-video-lip-sync
Language: Python
License Family: other
Last push: 2023-06-04T01:50:37+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 88
- inputs: {"age_days": 1238, "days_push": 1187, "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 2009, forks 343 (observed 2026-08-28T04:06:04.969368+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: video-processing, machine-learning, deep-learning, image-processing, cli
- domain: deep-learning, computer-vision, artificial-intelligence, media
- platform: python, cli
- tags: lip-sync, talking-head, sadtalker, wav2lip, frame-interpolation, dain, face-enhancement, audio-driven-video, gpu-required, video, linux, gpu

## Member repositories
- Zz-ww/SadTalker-Video-Lip-Sync (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:04.969368+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 2026-08-30T03:01:15.260334+00:00, confidence not recorded.
  - readme: https://github.com/Zz-ww/SadTalker-Video-Lip-Sync (fetched 2026-08-28T04:06:04.969368+00:00, sha 6af0d0294620)
- Data as of 2026-08-30T08:39:29.467469+00:00.