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AppWatch outofficial publisher

LatentSync (ByteDance)

App : A product you use directly

High-quality diffusion-based lip sync, running locally.

The most convincing local lip-sync tool, demanding in VRAM.

Overall score
6.0 /10
Security: one caveat, see the card
Utility
8.0
Reliability
2.0
Security
One caveat
Ease
Technical · Technical

Security reflects where data goes, requested permissions and incidents on record at the verification date. It is not a guarantee of zero risk: check the deployment mode and the connections you enable.

What it does, concretely

Making a filmed person's lip movements match a different audio track is a complex task that often produces blurry or out-of-sync results. LatentSync, developed by ByteDance, addresses this problem using an audio-conditioned latent diffusion model without any intermediate motion representation.

In practice, the tool analyzes audio through OpenAI's Whisper model to extract embeddings, which are then integrated into a U-Net network via cross-attention layers. The result is a video where the subject's lips are reconstructed frame by frame to match the provided audio. Version 1.6, released in June 2025, works at 512x512 resolution to reduce blurriness.

This tool is aimed at content creators, researchers, and developers who are comfortable installing a Python environment and have a graphics card with sufficient VRAM: at least 8 GB with version 1.5, and 18 GB with version 1.6.

However, LatentSync is not suitable for people without command-line experience or those looking for a ready-to-use solution. Installation requires setting up a technical environment and downloading models from HuggingFace.

What it offers

  • ·Audio-driven lip synchronization using a latent diffusion model based on Stable Diffusion.
  • ·Audio feature extraction via OpenAI's Whisper model for accurate speech analysis.
  • ·Built-in Gradio interface to run inference without using the command line.
  • ·Support for Chinese and other language videos, improved since version 1.5.
  • ·Better temporal consistency thanks to the addition of a temporal layer in version 1.5.
  • ·512x512 pixel inference resolution with version 1.6 to reduce blurriness.
  • ·Complete data processing pipeline provided, including scene detection and quality filtering.
  • ·Training code and checkpoints available open source for users wishing to fine-tune the model.

In practice

Price
Free
Commercial use
Commercial use: yes
Available on
linux, windows
Licence
Apache-2.0
Runs locally
Yes, 16 GB VRAM recommended
FR interface
No

Security and data

Rating
Security: one caveat, see the card
Your data
Data stays local
Maintenance
Inactive for over six months

Links and repository checked on 25 October 2026 · added on 1 December 2024

How to install LatentSync (ByteDance)

1. Clone the LatentSync GitHub repository to your machine. 2. Run the script source setup_env.sh to install dependencies and download checkpoints automatically. 3. Verify that the files latentsync_unet.pt and whisper/tiny.pt are present in the checkpoints/ folder. 4. If the automatic download fails, retrieve the files manually from the HuggingFace repository ByteDance/LatentSync-1.6. 5. Launch the Gradio interface with python gradio_app.py, or use the ./inference.sh script from the command line. 6. Confirm that your data stays local: no video is sent to external servers during inference.
source setup_env.sh

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