LatentSync vs lipsyn.cc
LatentSync
github.com
lipsyn.cc
lipsyn.ccSide by side
| Figure | LatentSync | lipsyn.cc |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | — | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 8 |
| Spec score · AI Video Lip Sync Tools | 8.6 (#4) | 8.8 (#2) |
| Intended users | The README describes an efficient stage-two training configuration as suitable for consumer-grade GPUs such as the RTX 3090. | The homepage identifies content creators, marketing teams, localization studios, and agencies as intended users. |
| 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. | The service turns uploaded video or still images plus audio or generated speech into lip-synced video. |
Plans
lipsyn.cc
- Free previewFree
- Quick Take€11.99, paid once
- Creator€23.84, paid once
- Studio€69.42, paid once
- Pro Studio€135.85, paid once
- Agency€398.20, paid once
- EnterprisePriced on request
- Pay as you goPrice not published
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++.
lipsyn.cc
lipsyn.cc turns video, portraits, or illustrated characters and audio into lip-synced video online. Users can upload audio or generate speech; the homepage advertises 91 languages and 10 voices. A free five-second preview is available without signup or a card. Full-length exports are available up to Full HD (1080p), and commercial use is included with exports. Videos can include up to three characters, with uploads up to 512 MB and audio and video up to 120 minutes. Paid minute packs are prepaid and do not expire: five minutes for €6.99, 10 for €13.90, 30 for €40.50, 60 for €79.20, or 180 for €232.20. The service has a web interface, an API, and an Adobe Express plugin. API renders run asynchronously and are delivered by webhook or polling, with cURL, Python, and Node.js examples. API limits include 60 requests per minute per key and five concurrent videos per account. The site says content remains the user's and is not used for training or other purposes; it also states that the service follows GDPR and Austrian data protection laws. Completed generations and minute-pack purchases are not refundable.