diff --git a/README.md b/README.md
index a95eaf8..a4f297f 100644
--- a/README.md
+++ b/README.md
@@ -27,14 +27,14 @@ Tested on Ubuntu 20.04, Python3.10, Pytorch 1.12 and CUDA 11.3
 ```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<https://pytorch.org/get-started/previous-versions/>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
 #如果不训练ernerf模型，不需要安装下面的库
 pip install "git+https://github.com/facebookresearch/pytorch3d.git"
 pip install tensorflow-gpu==2.8.0
 pip install --upgrade "protobuf<=3.20.1"
-```
-如果cuda为其他版本，上<https://pytorch.org/get-started/previous-versions/>安装相应版本的pytorch  
+``` 
 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
 
@@ -77,7 +77,7 @@ docker run --gpus all -it --network=host --rm registry.cn-beijing.aliyuncs.com/c
 提供如下镜像
 - autodl镜像: <https://www.codewithgpu.com/i/lipku/metahuman-stream/base>   
 [autodl教程](autodl/README.md)
-- ucloud镜像: <https://www.compshare.cn/images-detail?ImageID=compshareImage-14pa8x8ucwr9&ImageType=Community&ytag=cs_lipku_image>  
+- ucloud镜像: <https://www.compshare.cn/images-detail?ImageID=compshareImage-14pa8x8ucwr9&ImageType=Community&referral_code=3XW3852OBmnD089hMMrtuU&ytag=lipku_github>  
 可以开放任意端口，不需要单独运行srs服务.