Diff2Lip vs Sync Labs
Diff2Lip
github.comSync Labs
sync.soSide by side
| Figure | Diff2Lip | Sync Labs |
|---|---|---|
| Price from | — | $5/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | — |
| iOS | — | Yes |
| Android | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 0 | 7 |
| Spec score · AI Video Lip Sync Tools | 7.9 (#10) | 8.8 (#3) |
| Integrations | The repository links Google Colab for trying the project; it does not list other product integrations. | Listed integrations include Adobe Premiere, DaVinci Resolve, ChatGPT, an MCP server, ComfyUI and ElevenLabs. |
| License | The repository states that its text and code are under CC BY-NC 4.0, with attribution required and commercial use prohibited. | Sync Labs is presented as a hosted commercial service; its product documentation does not identify an open-source license for the service. |
| Use cases | The project lists movies, education, virtual avatars, and eventually video conferencing as applications. | The company describes use cases including video dubbing, content localization, personalized video messaging, e-learning, marketing, entertainment, media, and gaming. |
Plans
Sync Labs
- FreeFree
- FreeFree
- Hobbyist$5 a month
- Creator$19 a month
- Growth$49 a month
- Scale$249 a month
- EnterprisePriced on request
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.
Sync Labs
Sync Labs provides an AI lip-sync API that generates mouth movements matched to video and audio. Its listed models include lipsync-1.9, lipsync-2, lipsync-2-pro, react-1, and sync-3. The introduction lists 512×512 face resolution for lipsync-2 and lipsync-2-pro, and native 4K for sync-3. The models use audio waveforms rather than text and support 29 spoken languages, including tonal languages such as Mandarin and Thai. Use cases include dubbing, localization, personalized video messaging, e-learning, marketing, entertainment, media, and gaming. Developers can use a REST API and official Python and TypeScript SDKs; documented integrations include Adobe Premiere, DaVinci Resolve, ChatGPT, an MCP server, ComfyUI, and ElevenLabs. Inputs include MP4 video and WAV or MP3 audio, provided by public URL, API upload, or media-library asset ID. The free plan provides 3 generations per month, each up to 20 seconds, and no credit card is required. Hobbyist costs $5 a month plus $0.05/sec; paid plans also list usage charges. The service is available via API and web.