From a9c36c76e569107b5a39b3de8afd6e016b24d662 Mon Sep 17 00:00:00 2001 From: lipku Date: Fri, 18 Apr 2025 19:32:52 +0800 Subject: [PATCH] Modify some function name --- README-EN.md | 95 +++++++++++++++++++++++++++++++++++++++++++++++ README.md | 102 ++++++++++++++++++++++++++------------------------- README_ZH.md | 98 ------------------------------------------------- app.py | 2 +- basereal.py | 4 +- 5 files changed, 150 insertions(+), 151 deletions(-) create mode 100644 README-EN.md delete mode 100644 README_ZH.md diff --git a/README-EN.md b/README-EN.md new file mode 100644 index 0000000..4a49ac7 --- /dev/null +++ b/README-EN.md @@ -0,0 +1,95 @@ +Real-time interactive streaming digital human enables synchronous audio and video dialogue. It can basically achieve commercial effects. + +[Effect of wav2lip](https://www.bilibili.com/video/BV1scwBeyELA/) | [Effect of ernerf](https://www.bilibili.com/video/BV1G1421z73r/) | [Effect of musetalk](https://www.bilibili.com/video/BV1gm421N7vQ/) + +## News +- December 8, 2024: Improved multi-concurrency, and the video memory does not increase with the number of concurrent connections. +- December 21, 2024: Added model warm-up for wav2lip and musetalk to solve the problem of stuttering during the first inference. Thanks to [@heimaojinzhangyz](https://github.com/heimaojinzhangyz) +- December 28, 2024: Added the digital human model Ultralight-Digital-Human. Thanks to [@lijihua2017](https://github.com/lijihua2017) +- February 7, 2025: Added fish-speech tts +- February 21, 2025: Added the open-source model wav2lip256. Thanks to @不蠢不蠢 +- March 2, 2025: Added Tencent's speech synthesis service +- March 16, 2025: Supports mac gpu inference. Thanks to [@GcsSloop](https://github.com/GcsSloop) + +## Features +1. Supports multiple digital human models: ernerf, musetalk, wav2lip, Ultralight-Digital-Human +2. Supports voice cloning +3. Supports interrupting the digital human while it is speaking +4. Supports full-body video stitching +5. Supports rtmp and webrtc +6. Supports video arrangement: Play custom videos when not speaking +7. Supports multi-concurrency + +## 1. Installation + +Tested on Ubuntu 20.04, Python 3.10, Pytorch 1.12 and CUDA 11.3 + +### 1.1 Install dependency + +```bash +conda create -n nerfstream python=3.10 +conda activate nerfstream +# If the cuda version is not 11.3 (confirm the version by running nvidia-smi), install the corresponding version of pytorch according to +conda install pytorch==1.12.1 torchvision==0.13.1 cudatoolkit=11.3 -c pytorch +pip install -r requirements.txt +# If you need to train the ernerf model, install the following libraries +# pip install "git+https://github.com/facebookresearch/pytorch3d.git" +# pip install tensorflow-gpu==2.8.0 +# pip install --upgrade "protobuf<=3.20.1" +``` +Common installation issues [FAQ](https://livetalking-doc.readthedocs.io/en/latest/faq.html) +For setting up the linux cuda environment, you can refer to this article https://zhuanlan.zhihu.com/p/674972886 + + +## 2. Quick Start +- Download the models +Quark Cloud Disk +Google Drive +Copy wav2lip256.pth to the models folder of this project and rename it to wav2lip.pth; +Extract wav2lip256_avatar1.tar.gz and copy the entire folder to the data/avatars folder of this project. +- Run +python app.py --transport webrtc --model wav2lip --avatar_id wav2lip256_avatar1 +Open http://serverip:8010/webrtcapi.html in a browser. First click'start' to play the digital human video; then enter any text in the text box and submit it. The digital human will broadcast this text. +The server side needs to open ports tcp:8010; udp:1-65536 +If you need to purchase a high-definition wav2lip model for commercial use, [Link](https://livetalking-doc.readthedocs.io/zh-cn/latest/service.html#wav2lip). + +- Quick experience + Create an instance with this image to run it. + +If you can't access huggingface, before running +``` +export HF_ENDPOINT=https://hf-mirror.com +``` + + +## 3. More Usage +Usage instructions: + +## 4. Docker Run +No need for the previous installation, just run directly. +``` +docker run --gpus all -it --network=host --rm registry.cn-beijing.aliyuncs.com/codewithgpu2/lipku-metahuman-stream:2K9qaMBu8v +``` +The code is in /root/metahuman-stream. First, git pull to get the latest code, and then execute the commands as in steps 2 and 3. + +The following images are provided: +- autodl image: +[autodl Tutorial](https://livetalking-doc.readthedocs.io/en/latest/autodl/README.html) +- ucloud image: +Any port can be opened, and there is no need to deploy an srs service additionally. +[ucloud Tutorial](https://livetalking-doc.readthedocs.io/en/latest/ucloud/ucloud.html) + + +## 5. TODO +- [x] Added chatgpt to enable digital human dialogue +- [x] Voice cloning +- [x] Replace the digital human with a video when it is silent +- [x] MuseTalk +- [x] Wav2Lip +- [x] Ultralight-Digital-Human + +--- +If this project is helpful to you, please give it a star. Friends who are interested are also welcome to join in and improve this project together. +* Knowledge Planet: https://t.zsxq.com/7NMyO, where high-quality common problems, best practice experiences, and problem solutions are accumulated. +* WeChat Official Account: Digital Human Technology +![](https://mmbiz.qpic.cn/sz_mmbiz_jpg/l3ZibgueFiaeyfaiaLZGuMGQXnhLWxibpJUS2gfs8Dje6JuMY8zu2tVyU9n8Zx1yaNncvKHBMibX0ocehoITy5qQEZg/640?wxfrom=12&tp=wxpic&usePicPrefetch=1&wx_fmt=jpeg&from=appmsg) \ No newline at end of file diff --git a/README.md b/README.md index fc54bce..3d6e043 100644 --- a/README.md +++ b/README.md @@ -1,96 +1,98 @@ -Real-time interactive streaming digital human enables synchronous audio and video dialogue. It can basically achieve commercial effects. + [English](./README-EN.md) | 中文版 + 实时交互流式数字人，实现音视频同步对话。基本可以达到商用效果 +[wav2lip效果](https://www.bilibili.com/video/BV1scwBeyELA/) | [ernerf效果](https://www.bilibili.com/video/BV1G1421z73r/) | [musetalk效果](https://www.bilibili.com/video/BV1gm421N7vQ/) -[Effect of wav2lip](https://www.bilibili.com/video/BV1scwBeyELA/) | [Effect of ernerf](https://www.bilibili.com/video/BV1G1421z73r/) | [Effect of musetalk](https://www.bilibili.com/video/BV1gm421N7vQ/) +## 为避免与3d数字人混淆，原项目metahuman-stream改名为livetalking，原有链接地址继续可用 -[中文版](./README_ZH.md) ## News -- December 8, 2024: Improved multi-concurrency, and the video memory does not increase with the number of concurrent connections. -- December 21, 2024: Added model warm-up for wav2lip and musetalk to solve the problem of stuttering during the first inference. Thanks to [@heimaojinzhangyz](https://github.com/heimaojinzhangyz) -- December 28, 2024: Added the digital human model Ultralight-Digital-Human. Thanks to [@lijihua2017](https://github.com/lijihua2017) -- February 7, 2025: Added fish-speech tts -- February 21, 2025: Added the open-source model wav2lip256. Thanks to @不蠢不蠢 -- March 2, 2025: Added Tencent's speech synthesis service -- March 16, 2025: Supports mac gpu inference. Thanks to [@GcsSloop](https://github.com/GcsSloop) +- 2024.12.8 完善多并发，显存不随并发数增加 +- 2024.12.21 添加wav2lip、musetalk模型预热，解决第一次推理卡顿问题。感谢[@heimaojinzhangyz](https://github.com/heimaojinzhangyz) +- 2024.12.28 添加数字人模型Ultralight-Digital-Human。 感谢[@lijihua2017](https://github.com/lijihua2017) +- 2025.2.7 添加fish-speech tts +- 2025.2.21 添加wav2lip256开源模型 感谢@不蠢不蠢 +- 2025.3.2 添加腾讯语音合成服务 +- 2025.3.16 支持mac gpu推理，感谢[@GcsSloop](https://github.com/GcsSloop) ## Features -1. Supports multiple digital human models: ernerf, musetalk, wav2lip, Ultralight-Digital-Human -2. Supports voice cloning -3. Supports interrupting the digital human while it is speaking -4. Supports full-body video stitching -5. Supports rtmp and webrtc -6. Supports video arrangement: Play custom videos when not speaking -7. Supports multi-concurrency +1. 支持多种数字人模型: ernerf、musetalk、wav2lip、Ultralight-Digital-Human +2. 支持声音克隆 +3. 支持数字人说话被打断 +4. 支持全身视频拼接 +5. 支持rtmp和webrtc +6. 支持视频编排：不说话时播放自定义视频 +7. 支持多并发 ## 1. Installation -Tested on Ubuntu 20.04, Python 3.10, Pytorch 1.12 and CUDA 11.3 +Tested on Ubuntu 20.04, Python3.10, Pytorch 1.12 and CUDA 11.3 ### 1.1 Install dependency ```bash conda create -n nerfstream python=3.10 conda activate nerfstream -# If the cuda version is not 11.3 (confirm the version by running nvidia-smi), install the corresponding version of pytorch according to +#如果cuda版本不为11.3(运行nvidia-smi确认版本)，根据安装对应版本的pytorch conda install pytorch==1.12.1 torchvision==0.13.1 cudatoolkit=11.3 -c pytorch pip install -r requirements.txt -# If you need to train the ernerf model, install the following libraries +#如果需要训练ernerf模型，安装下面的库 # pip install "git+https://github.com/facebookresearch/pytorch3d.git" # pip install tensorflow-gpu==2.8.0 # pip install --upgrade "protobuf<=3.20.1" ``` -Common installation issues [FAQ](https://livetalking-doc.readthedocs.io/en/latest/faq.html) -For setting up the linux cuda environment, you can refer to this article https://zhuanlan.zhihu.com/p/674972886 +安装常见问题[FAQ](https://livetalking-doc.readthedocs.io/en/latest/faq.html) +linux cuda环境搭建可以参考这篇文章 https://zhuanlan.zhihu.com/p/674972886 ## 2. Quick Start -- Download the models -Quark Cloud Disk -Google Drive -Copy wav2lip256.pth to the models folder of this project and rename it to wav2lip.pth; -Extract wav2lip256_avatar1.tar.gz and copy the entire folder to the data/avatars folder of this project. -- Run +- 下载模型 +夸克云盘 +GoogleDriver +将wav2lip256.pth拷到本项目的models下, 重命名为wav2lip.pth; +将wav2lip256_avatar1.tar.gz解压后整个文件夹拷到本项目的data/avatars下 +- 运行 python app.py --transport webrtc --model wav2lip --avatar_id wav2lip256_avatar1 -Open http://serverip:8010/webrtcapi.html in a browser. First click'start' to play the digital human video; then enter any text in the text box and submit it. The digital human will broadcast this text. -The server side needs to open ports tcp:8010; udp:1-65536 -If you need to purchase a high-definition wav2lip model for commercial use, [Link](https://livetalking-doc.readthedocs.io/zh-cn/latest/service.html#wav2lip). +用浏览器打开http://serverip:8010/webrtcapi.html , 先点‘start',播放数字人视频；然后在文本框输入任意文字，提交。数字人播报该段文字 +服务端需要开放端口 tcp:8010; udp:1-65536 +如果需要商用高清wav2lip模型，[链接](https://livetalking-doc.readthedocs.io/zh-cn/latest/service.html#wav2lip) -- Quick experience - Create an instance with this image to run it. +- 快速体验 + 用该镜像创建实例即可运行成功 -If you can't access huggingface, before running +如果访问不了huggingface，在运行前 ``` export HF_ENDPOINT=https://hf-mirror.com ``` ## 3. More Usage -Usage instructions: +使用说明: ## 4. Docker Run -No need for the previous installation, just run directly. +不需要前面的安装，直接运行。 ``` docker run --gpus all -it --network=host --rm registry.cn-beijing.aliyuncs.com/codewithgpu2/lipku-metahuman-stream:2K9qaMBu8v ``` -The code is in /root/metahuman-stream. First, git pull to get the latest code, and then execute the commands as in steps 2 and 3. +代码在/root/metahuman-stream，先git pull拉一下最新代码，然后执行命令同第2、3步 -The following images are provided: -- autodl image: -[autodl Tutorial](https://livetalking-doc.readthedocs.io/en/latest/autodl/README.html) -- ucloud image: -Any port can be opened, and there is no need to deploy an srs service additionally. -[ucloud Tutorial](https://livetalking-doc.readthedocs.io/en/latest/ucloud/ucloud.html) +提供如下镜像 +- autodl镜像: +[autodl教程](https://livetalking-doc.readthedocs.io/en/latest/autodl/README.html) +- ucloud镜像: +可以开放任意端口，不需要另外部署srs服务. +[ucloud教程](https://livetalking-doc.readthedocs.io/en/latest/ucloud/ucloud.html) ## 5. TODO -- [x] Added chatgpt to enable digital human dialogue -- [x] Voice cloning -- [x] Replace the digital human with a video when it is silent +- [x] 添加chatgpt实现数字人对话 +- [x] 声音克隆 +- [x] 数字人静音时用一段视频代替 - [x] MuseTalk - [x] Wav2Lip - [x] Ultralight-Digital-Human --- -If this project is helpful to you, please give it a star. Friends who are interested are also welcome to join in and improve this project together. -* Knowledge Planet: https://t.zsxq.com/7NMyO, where high-quality common problems, best practice experiences, and problem solutions are accumulated. -* WeChat Official Account: Digital Human Technology -![](https://mmbiz.qpic.cn/sz_mmbiz_jpg/l3ZibgueFiaeyfaiaLZGuMGQXnhLWxibpJUS2gfs8Dje6JuMY8zu2tVyU9n8Zx1yaNncvKHBMibX0ocehoITy5qQEZg/640?wxfrom=12&tp=wxpic&usePicPrefetch=1&wx_fmt=jpeg&from=appmsg) \ No newline at end of file +如果本项目对你有帮助，帮忙点个star。也欢迎感兴趣的朋友一起来完善该项目. +* 知识星球: https://t.zsxq.com/7NMyO 沉淀高质量常见问题、最佳实践经验、问题解答 +* 微信公众号：数字人技术 +![](https://mmbiz.qpic.cn/sz_mmbiz_jpg/l3ZibgueFiaeyfaiaLZGuMGQXnhLWxibpJUS2gfs8Dje6JuMY8zu2tVyU9n8Zx1yaNncvKHBMibX0ocehoITy5qQEZg/640?wxfrom=12&tp=wxpic&usePicPrefetch=1&wx_fmt=jpeg&from=appmsg) + diff --git a/README_ZH.md b/README_ZH.md deleted file mode 100644 index 541824a..0000000 --- a/README_ZH.md +++ /dev/null @@ -1,98 +0,0 @@ - 实时交互流式数字人，实现音视频同步对话。基本可以达到商用效果 - -[wav2lip效果](https://www.bilibili.com/video/BV1scwBeyELA/) | [ernerf效果](https://www.bilibili.com/video/BV1G1421z73r/) | [musetalk效果](https://www.bilibili.com/video/BV1gm421N7vQ/) - -## 为避免与3d数字人混淆，原项目metahuman-stream改名为livetalking，原有链接地址继续可用 - -## News -- 2024.12.8 完善多并发，显存不随并发数增加 -- 2024.12.21 添加wav2lip、musetalk模型预热，解决第一次推理卡顿问题。感谢[@heimaojinzhangyz](https://github.com/heimaojinzhangyz) -- 2024.12.28 添加数字人模型Ultralight-Digital-Human。 感谢[@lijihua2017](https://github.com/lijihua2017) -- 2025.2.7 添加fish-speech tts -- 2025.2.21 添加wav2lip256开源模型 感谢@不蠢不蠢 -- 2025.3.2 添加腾讯语音合成服务 -- 2025.3.16 支持mac gpu推理，感谢[@GcsSloop](https://github.com/GcsSloop) - -## Features -1. 支持多种数字人模型: ernerf、musetalk、wav2lip、Ultralight-Digital-Human -2. 支持声音克隆 -3. 支持数字人说话被打断 -4. 支持全身视频拼接 -5. 支持rtmp和webrtc -6. 支持视频编排：不说话时播放自定义视频 -7. 支持多并发 - -## 1. Installation - -Tested on Ubuntu 20.04, Python3.10, Pytorch 1.12 and CUDA 11.3 - -### 1.1 Install dependency - -```bash -conda create -n nerfstream python=3.10 -conda activate nerfstream -#如果cuda版本不为11.3(运行nvidia-smi确认版本)，根据安装对应版本的pytorch -conda install pytorch==1.12.1 torchvision==0.13.1 cudatoolkit=11.3 -c pytorch -pip install -r requirements.txt -#如果需要训练ernerf模型，安装下面的库 -# pip install "git+https://github.com/facebookresearch/pytorch3d.git" -# pip install tensorflow-gpu==2.8.0 -# pip install --upgrade "protobuf<=3.20.1" -``` -安装常见问题[FAQ](https://livetalking-doc.readthedocs.io/en/latest/faq.html) -linux cuda环境搭建可以参考这篇文章 https://zhuanlan.zhihu.com/p/674972886 - - -## 2. Quick Start -- 下载模型 -夸克云盘 -GoogleDriver -将wav2lip256.pth拷到本项目的models下, 重命名为wav2lip.pth; -将wav2lip256_avatar1.tar.gz解压后整个文件夹拷到本项目的data/avatars下 -- 运行 -python app.py --transport webrtc --model wav2lip --avatar_id wav2lip256_avatar1 -用浏览器打开http://serverip:8010/webrtcapi.html , 先点‘start',播放数字人视频；然后在文本框输入任意文字，提交。数字人播报该段文字 -服务端需要开放端口 tcp:8010; udp:1-65536 -如果需要商用高清wav2lip模型，[链接](https://livetalking-doc.readthedocs.io/zh-cn/latest/service.html#wav2lip) - -- 快速体验 - 用该镜像创建实例即可运行成功 - -如果访问不了huggingface，在运行前 -``` -export HF_ENDPOINT=https://hf-mirror.com -``` - - -## 3. More Usage -使用说明: - -## 4. Docker Run -不需要前面的安装，直接运行。 -``` -docker run --gpus all -it --network=host --rm registry.cn-beijing.aliyuncs.com/codewithgpu2/lipku-metahuman-stream:2K9qaMBu8v -``` -代码在/root/metahuman-stream，先git pull拉一下最新代码，然后执行命令同第2、3步 - -提供如下镜像 -- autodl镜像: -[autodl教程](https://livetalking-doc.readthedocs.io/en/latest/autodl/README.html) -- ucloud镜像: -可以开放任意端口，不需要另外部署srs服务. -[ucloud教程](https://livetalking-doc.readthedocs.io/en/latest/ucloud/ucloud.html) - - -## 5. TODO -- [x] 添加chatgpt实现数字人对话 -- [x] 声音克隆 -- [x] 数字人静音时用一段视频代替 -- [x] MuseTalk -- [x] Wav2Lip -- [x] Ultralight-Digital-Human - ---- -如果本项目对你有帮助，帮忙点个star。也欢迎感兴趣的朋友一起来完善该项目. -* 知识星球: https://t.zsxq.com/7NMyO 沉淀高质量常见问题、最佳实践经验、问题解答 -* 微信公众号：数字人技术 -![](https://mmbiz.qpic.cn/sz_mmbiz_jpg/l3ZibgueFiaeyfaiaLZGuMGQXnhLWxibpJUS2gfs8Dje6JuMY8zu2tVyU9n8Zx1yaNncvKHBMibX0ocehoITy5qQEZg/640?wxfrom=12&tp=wxpic&usePicPrefetch=1&wx_fmt=jpeg&from=appmsg) - diff --git a/app.py b/app.py index 70a489f..ff7f0c5 100644 --- a/app.py +++ b/app.py @@ -179,7 +179,7 @@ async def set_audiotype(request): params = await request.json() sessionid = params.get('sessionid',0) - nerfreals[sessionid].set_curr_state(params['audiotype'],params['reinit']) + nerfreals[sessionid].set_custom_state(params['audiotype'],params['reinit']) return web.Response( content_type="application/json", diff --git a/basereal.py b/basereal.py index 8f408c0..61aad1c 100644 --- a/basereal.py +++ b/basereal.py @@ -262,8 +262,8 @@ class BaseReal: self.curr_state = 1 #当前视频不循环播放，切换到静音状态 return stream - def set_curr_state(self,audiotype, reinit): - print('set_curr_state:',audiotype) + def set_custom_state(self,audiotype, reinit=True): + print('set_custom_state:',audiotype) self.curr_state = audiotype if reinit: self.custom_audio_index[audiotype] = 0