diff --git a/examples/images/diffusion/README.md b/examples/images/diffusion/README.md
index 324337426..8583f3be2 100644
--- a/examples/images/diffusion/README.md
+++ b/examples/images/diffusion/README.md
@@ -52,7 +52,7 @@ export PACKAGE_NAME=pytorch
 pip install .
 ```
 
-### Install [Colossal-AI v0.1.10](https://colossalai.org/download/) From Our Official Website
+### Install [Colossal-AI v0.1.12](https://colossalai.org/download/) From Our Official Website
 
 ```
 pip install colossalai==0.1.12+torch1.12cu11.3 -f https://release.colossalai.org
@@ -101,10 +101,10 @@ python main.py --logdir /tmp/ -t -b configs/train_colossalai.yaml
 
 You can change the trainging config in the yaml file
 
-- accelerator: acceleratortype, default 'gpu'
-- devices: device number used for training, default 4
-- max_epochs: max training epochs
-- precision: usefp16 for training or not, default 16, you must use fp16 if you want to apply colossalai
+- devices: device number used for training, default 8
+- max_epochs: max training epochs, default 2
+- precision: the precision type used in training, default 16 (fp16), you must use fp16 if you want to apply colossalai
+- more information about the configuration of ColossalAIStrategy can be found [here](https://pytorch-lightning.readthedocs.io/en/latest/advanced/model_parallel.html#colossal-ai)
 
 ## Finetune Example
 ### Training on Teyvat Datasets