ComfyUI Extension: ComfyUI-LatentSyncWrapper

ComfyUI-LatentSyncWrapper Introduction

ComfyUI-LatentSyncWrapper is an unofficial implementation of ByteDance's LatentSync model, designed to integrate seamlessly with ComfyUI on Windows. This extension provides advanced lip-sync capabilities, allowing you to synchronize the lip movements in a video with an audio input. This is particularly useful for AI artists who want to create realistic or stylized animations where the audio and visual elements are perfectly aligned. By using this extension, you can enhance your creative projects with precise audio-visual synchronization, solving common issues related to mismatched lip movements in video production.

How ComfyUI-LatentSyncWrapper Works

At its core, ComfyUI-LatentSyncWrapper leverages the LatentSync model, which is based on audio-conditioned latent diffusion models. This means it uses audio inputs to guide the generation of lip movements in video frames. The process involves converting audio into embeddings using the Whisper model, which are then used to influence the U-Net model's output through cross-attention layers. This approach allows the extension to model complex audio-visual correlations directly, without relying on intermediate motion representations. The result is a more consistent and accurate lip-sync, achieved by aligning generated frames with ground truth frames using Temporal REPresentation Alignment (TREPA).

ComfyUI-LatentSyncWrapper Features

• Lip-Sync Node: The primary feature of this extension is the lip-sync node, which allows you to input a video and an audio file to generate a synchronized output. You can customize the synchronization by setting parameters such as the video path, audio input, and a random seed for reproducibility.

• Video Length Adjuster Node: This complementary node helps manage the synchronization of video and audio lengths. It offers several modes:

• Normal: Adds padding to video frames to prevent frame loss.

• Pingpong: Creates a forward-backward loop of the video sequence.

• Loop to Audio: Extends the video by repeating frames to match the audio duration.

• Silent Padding: Adjusts video length to match longer audio durations. These features allow for flexible customization, enabling you to tailor the synchronization process to your specific needs.

ComfyUI-LatentSyncWrapper Models

The extension uses two main models:

• LatentSync U-Net: This model is responsible for generating the synchronized lip movements based on the audio input.
• Whisper Model: Used to convert audio into embeddings that guide the U-Net model. These models can be automatically downloaded from HuggingFace on the first run, or you can manually download them if needed. The choice of model can affect the quality and performance of the lip-sync, with different models offering varying levels of detail and accuracy.

Troubleshooting ComfyUI-LatentSyncWrapper

Here are some common issues and solutions:

• mediapipe Installation Issues: Ensure you are using a compatible Python version (3.8-3.11). If you encounter errors, try installing mediapipe separately using pip install mediapipe>=0.10.8.
• PYTHONPATH Errors: Make sure Python is added to your system PATH. Running ComfyUI as an administrator may also resolve these issues.
• Video Compatibility: The extension works best with clear, frontal face videos at 25 FPS. Ensure the face is visible throughout the video for optimal results.

Learn More about ComfyUI-LatentSyncWrapper

To further explore the capabilities of ComfyUI-LatentSyncWrapper, you can visit the following resources:

• LatentSync on GitHub for more technical details about the underlying model.
• ComfyUI on GitHub to learn more about the ComfyUI platform and its features.
• HuggingFace Repository for downloading model files and exploring additional documentation. These resources provide valuable insights and support for AI artists looking to enhance their projects with advanced lip-sync capabilities.