ComfyUI Perfect Lip Syncs Movements in Any Language Workflow

Let’s be real—getting lip movements to match new audio in a different language is usually a pain. But Latent Sync? It’s one of those tools that just works better than I expected.

Here’s the thing: Latent Sync isn’t just another lip-syncing tool. It’s an AI framework from ByteDance and Beijing Jiaotong University that maps phonemes (those tiny sound units in speech) to exact lip movements. The result? Scary-good sync, even across languages.

I’ll be honest, the setup isn’t plug-and-play, but it’s not too bad either. First, make sure you’re running Python 3.8 to 3.11—skip 3.12 since Mediapipe doesn’t play nice with it yet. If you run into PATH issues, grab FFmpeg from here and drop it into

C:\ffmpeg

Next, clone the Latent Sync Wrapper into your ComfyUI custom nodes:

cd ComfyUI/custom_nodes  
git clone https://github.com/ShmuelRonen/ComfyUI-LatentSyncWrapper.git  
cd ComfyUI-LatentSyncWrapper  
pip install -r requirements.txt

• latentsync_unet.pt (goes in ComfyUI-LatentSyncWrapper/checkpoints/)
• tiny.pt (save it in checkpoints/whisper/)

If you hit PYTHONPATH errors, try running ComfyUI as admin. Annoying, but it usually fixes things.

What Works (And What Doesn’t)

Latent Sync nails it with clear, frontal-face videos. The phoneme-to-lip mapping is eerily accurate—like the “p” in “perfect” actually looks like a “p.” But there are limits:

• No anime or cartoon faces (yet).
• Videos get auto-converted to 25 FPS.
• The face needs to stay visible the whole time.

ComfyUI/custom_nodes/ComfyUI-LatentSyncWrapper/checkpoints/
├── latentsync_unet.pt
└── whisper/
    └── tiny.pt

I didn’t expect the temporal consistency to be this solid. Even with longer audio, the lip movements stay locked in. For more details, check out the original paper or the ComfyUI examples page.

Anyway, if you’ve been wrestling with lip sync, this is worth a shot. Just don’t expect miracles with non-human faces. Yet.