Diff2Lip vs X-Dub
Diff2Lip
github.comX-Dub
github.comSide by side
| Figure | Diff2Lip | X-Dub |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 0 |
| Spec score · AI Video Lip Sync Tools | 7.9 (#10) | 6.6 (#27) |
| License | The repository states that its text and code are under CC BY-NC 4.0, with attribution required and commercial use prohibited. | The repository lists the Apache-2.0 license, which grants no-charge, royalty-free copyright permissions subject to its terms. |
| Purpose | Diff2Lip generates lip-synchronized videos from speech audio and face videos. | X-Dub synchronizes a character’s lip movements in a video to match input audio. |
In their own words
Diff2Lip
Diff2Lip is a free, open-source Linux and self-hosted project that synchronizes speech with face videos using an audio-conditioned diffusion model. It accepts speech and face-video material and generates lip-synced video while aiming to preserve the identity shown in source frames. The repository includes inference scripts for audio-video pairs and for a single video. Cross mode drives a video with an audio source; reconstruction mode drives the video's first frame with audio. The project lists movies, education and virtual avatars as applications, with video conferencing described as a possible future use. Diff2Lip is not real time yet. Reported evaluations use the VoxCeleb2 and LRW datasets, and the repository identifies the work as a WACV 2024 paper. Setup instructions use Python 3.9, FFmpeg 5.0.1 and the requirements file. Inference supports one or more GPUs through NUM_GPUS, with values above one running distributed generation. A Google Colab notebook is linked for trying it.