Diff2Lip

6.1easy start · #19 of 27
in AI Video Lip Sync Tools

Free to practise onnot on record
Free trialnot on record
Well documentedyes
Runs where you worknot on record

Runs on Linux, self-hosted.

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Diff2Lip is ranked #19 of 27 in AI video lip sync tools on The Geeks Club. It runs on Linux, Self-hosted.

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CHAMELAION LipSync API 0 of 4 in the starter kit Lesson 17.7 LipDub 0 of 4 in the starter kit Lesson 27.6 Sync Labs 0 of 4 in the starter kit Lesson 37.6 VEED 0 of 4 in the starter kit Lesson 47.3 Morph Studio 0 of 4 in the starter kit Lesson 57.2 lipsyn.cc 0 of 4 in the starter kit Lesson 67.1

The record

Purpose: Diff2Lip is an audio-conditioned diffusion model for synchronizing speech with face videos.
Input and output: The project describes its task as turning arbitrary speech and face videos into high-quality lip-synced video.
Identity preservation: The project says its generated video frames preserve identity without identity loss.
Applications: The project lists movies, education, and virtual avatars as applications, and video conferencing as a possible future application.
Not real time: The project states that Diff2Lip is not real time yet.
Research results: The project reports reconstruction and cross-audio-video results on VoxCeleb2 and LRW datasets.
Inference: The repository includes scripts for lip-sync inference on audio-video pairs and on a single video.
Inference modes: The repository documents cross mode to drive a video with an audio source and reconstruction mode to drive the video's first frame with an audio source.
GPU requirement: The inference instructions include a NUM_GPUS setting and say values greater than one run distributed generation.
Try it: The project links to a Google Colab notebook for trying Diff2Lip.
License: The repository says its code and text are licensed under CC BY-NC 4.0, which permits sharing and adaptation with attribution for noncommercial purposes.
Commercial use: The repository's license description says the work may not be used for commercial purposes.
Research publication: The repository identifies Diff2Lip as a WACV 2024 paper.
Setup: The README setup instructions use Python 3.9, FFmpeg 5.0.1, and the repository's requirements file.

Where it ranks on The Geeks Club

Best AI Video Lip Sync Tools in 2026#19 of 27

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Sources

github.com/soumik-kanad/diff2lip· checked 4 Oct 2026
soumik-kanad.github.io/diff2lip/· checked 4 Oct 2026