fay是一个帮助数字人（2.5d、3d、移动、pc、网页）或大语言模型（openai兼容、deepseek）连通业务系统的mcp框架。

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

Real time interactive streaming digital human

Wav2Lip UHQ extension for Automatic1111

High quality Lip sync

PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)

lipsync is a simple and updated Python library for lip synchronization, based on Wav2Lip. It synchronizes lips in videos and images based on provided audio, supports CPU/CUDA, and uses caching for faster processing.

Alternative to Flawless AI's TrueSync. Make lips in video match provided audio using the power of Wav2Lip and GFPGAN.

(Windows/Linux/MacOS) Local WebUI with neural network models (Text, Image, Video, 3D, Audio) on python (Gradio interface). Translated on 3 languages

Wav2Lip UHQ Improvement with ControlNet 1.1

Orchestrating AI for stunning lip-synced videos. Effortless workflow, exceptional results, all in one place.

AI Lip Syncing application, deployed on Streamlit

End-to-end speech-to-speech translation pipeline with voice cloning (RVC) and automatic lip-sync (Wav2Lip).

GUI to sync video mouth movements to match audio, utilizing wav2lip-hq. Completed as part of a technical interview.

This project is dedicated to advancing the field of animatronic robots by enabling them to generate lifelike facial expressions, pushing the boundaries of what's possible in human-robot interaction.

IN4U - 면접 연습 웹 서비스

AIStreameur : Faite streamer vos personne préféré !

基于飞桨开发的虚拟主播。扩展多语言检测，语音，人脸增强

A real-time streaming video bot that generates talking avatar videos with ultra-low latency using: Piper TTS for lightning-fast, natural-sounding speech Wav2Lip for lip-sync animation Streaming architecture for immediate video playback Traditional batch mode for complete video

The LipSync-Wav2Lip-Project repository is a comprehensive solution for achieving lip synchronization in videos using the Wav2Lip deep learning model. This open-source project includes code that enables users to seamlessly synchronize lip movements with audio tracks.