zhangbo2008 / wav2lip384_my2Links
☆41Updated last year
Alternatives and similar repositories for wav2lip384_my2
Users that are interested in wav2lip384_my2 are comparing it to the libraries listed below
Sorting:
- ☆231Updated last year
- ☆198Updated 2 years ago
- This is a project about talking faces. We use 576X576 sized facial images for training, which can generate 2k, 4k, 6k, and 8k digital hum…☆55Updated last year
- 优化wav2lip的执行步骤,将头脸分离、嘴型替换、回补背景三个步骤分离,添加gfpgan强化面部功能,实现提前解帧,流式循环处理,对接obs☆76Updated 7 months ago
- 通过此代码可以免训练模型并通过轻量级服务器定制数字人形象☆105Updated last year
- Just a suturing monster project.☆41Updated last year
- ☆52Updated 2 years ago
- ☆50Updated last year
- ☆43Updated 2 weeks ago
- ☆74Updated 2 weeks ago
- wav2lip训练数据预处理综合工具☆40Updated last year
- ☆75Updated 9 months ago
- ☆36Updated last year
- Considering the original Wav2Lip was trained on LSR2 and didn't have good performance on Chinese. I preprocessed CMLR Dataset and would t…☆61Updated last year
- ☆35Updated 2 years ago
- 基于MuseTalk的数字人代码。☆30Updated 10 months ago
- ☆58Updated last year
- ☆33Updated 5 months ago
- wav2lip384生成器网格权重——来自不蠢不蠢☆116Updated 4 months ago
- Simple and fast wav2lip using new 256x256 resolution trained onnx-converted model for inference. Easy installation☆42Updated 9 months ago
- python库,实现推送实时rtmp音视频流☆127Updated last year
- Full version of wav2lip-onnx including face alignment and face enhancement and more...☆131Updated last month
- 开源的LstmSync数字人泛化模型,只做最好的泛化模型!☆53Updated 2 weeks ago
- 这是一个在wav2lip,使用wav2lip、gfpgan、yolov5等模型用RT加速的超快推理!经测试在2070显卡上可达到0.03秒每帧实现实时推理。☆29Updated last year
- The API server version of the SadTalker project. Runs in Docker, 10 times faster than the original!☆138Updated 2 years ago
- A docker free offline version for HeyGem; Python and Linux is all you need!☆296Updated 2 months ago
- 洛曦 数字人视频播放器,带HTTP API,使用gradio api对接Easy-Wav2Lip、Sadtalker、GeneFacePlusPlus、MuseTalk,也可以用于播放本地视频☆167Updated 9 months ago
- ☆330Updated last month
- ☆630Updated last year
- An optimized pipeline for DINet reducing inference latency for up to 60% 🚀. Kudos for the authors of the original repo for this amazing …☆108Updated last year