ajay-sainy/Wav2Lip-GFPGAN
High quality Lip sync observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1476
- days_rel: n/a
- days_push: 764
- n_releases_24m: 0
Adoption not part of the score
1157 stars · 279 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A pipeline combining Wav2Lip lip-sync generation with GFPGAN face restoration to produce high-quality talking-head videos from an input video and audio track. It is provided as a Python project with a Google Colab notebook for easy use.
Use cases
- generate a lip-synced video from audio and a face video
- improve blurry Wav2Lip output with face restoration
- create talking avatar videos for dubbing
- make deepfake-style talking head clips
- upscale and enhance faces in AI-generated videos
When to choose
- you want one-click high-quality lip sync with face enhancement
- you want to run it in Colab without local GPU setup
- you need better visual quality than plain Wav2Lip
When to avoid
- you need a maintained project with a license for commercial use
- you need real-time lip sync
- you want fine-grained control over each pipeline stage
Facets
application · maturity maintenance
video-processing machine-learning image-processing deep-learning artificial-intelligence media python cross-platform lip-sync deepfakes wav2lip gfpgan face-restoration talking-head video gpu
1 source
- readme: https://github.com/ajay-sainy/Wav2Lip-GFPGAN · fetched 2026-08-28 · 554037f26387
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ajay-sainy/Wav2Lip-GFPGAN | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="ajay-sainy/Wav2Lip-GFPGAN")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem