Update README.md

README.md

@@ -25,9 +25,12 @@ This model has a wide range of applications and can reason and generate videos b
 
 ## How to use
 
-Under the ModelScope framework, the current model can be used by calling a simple Pipeline, where the input must be in dictionary format, the legal key value is 'text', and the content is a short text. This model currently only supports inference on the GPU. Enter specific code examples as follows:
+ 
+The model has been launched on [ModelScope Studio](https://modelscope.cn/studios/damo/text-to-video-synthesis/summary) and [huggingface](https://huggingface.co/spaces/damo-vilab/modelscope-text-to-video-synthesis), you can experience it directly; you can also refer to [Colab page](https://colab.research.google.com/drive/1uW1ZqswkQ9Z9bp5Nbo5z59cAn7I0hE6R?usp=sharing#scrollTo=bSluBq99ObSk) to build it yourself.
+In order to facilitate the experience of the model, users can refer to the [Aliyun Notebook Tutorial](https://modelscope.cn/headlines/detail/26) to quickly develop this Text-to-Video model.
+
+This demo requires about 16GB CPU RAM and 16GB GPU RAM. Under the ModelScope framework, the current model can be used by calling a simple Pipeline, where the input must be in dictionary format, the legal key value is 'text', and the content is a short text. This model currently only supports inference on the GPU. Enter specific code examples as follows:
 
-For Colab usage, you can view [this webpage](https://colab.research.google.com/drive/1uW1ZqswkQ9Z9bp5Nbo5z59cAn7I0hE6R?usp=sharing).
 
 ### Operating environment (Python Package)