LatentSync vs LipSync Video
LatentSync
github.comLipSync Video
lipsyncvideo.aiSide by side
| Figure | LatentSync | LipSync Video |
|---|---|---|
| Price from | Free | $19/mo |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | — | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 4 |
| Spec score · AI Video Lip Sync Tools | 8.6 (#4) | 7.2 (#23) |
| Intended users | The README describes an efficient stage-two training configuration as suitable for consumer-grade GPUs such as the RTX 3090. | The site presents the product for creators, marketing teams, course creators, agencies, and studios. |
| What it does | LatentSync is an end-to-end lip-sync system that generates mouth movements from audio with latent diffusion and no intermediate motion representation. | LipSync Video offers AI tools for syncing mouth movement to audio and creating talking photos, cartoons, pets, and other video content. |
Plans
LipSync Video
- First video trial pack$2.49, paid once
- Starter$19 a month
- Pro$49 a month
- Business$100 a month
In their own words
LatentSync
LatentSync is a free, open-source lip-sync method for Linux and self-hosted deployment. It uses audio-conditioned latent diffusion models: Whisper converts mel spectrograms into audio embeddings, which enter a U-Net through cross-attention layers. The project offers a Gradio application and command-line inference, plus checkpoints, training code and a data-processing pipeline. LatentSync 1.6 was trained on 512 × 512 videos to address blurry teeth and lips. Minimum inference memory is listed as 8 GB of VRAM for version 1.5 and 18 GB for version 1.6. More inference steps can improve visual quality but slow generation; increasing guidance scale can improve lip-sync accuracy while introducing distortion or jitter. Training configurations for the U-Net require 20–55 GB of VRAM, depending on configuration. The documented pipeline uses PySceneDetect for scene detection and InsightFace landmarks for face transformation. The repository lists Apache-2.0, while the model card lists openrail++.
LipSync Video
LipSync Video has no write-up on Specifiction yet; its figures are above.