diff --git a/examples/dreambooth/README.md b/examples/dreambooth/README.md
index 93e6f4d14b..28ac0b4f6a 100644
--- a/examples/dreambooth/README.md
+++ b/examples/dreambooth/README.md
@@ -204,10 +204,9 @@ accelerate launch train_dreambooth.py \
   --max_train_steps=800
 ```
 
-### Using DreamBooth for other pipelines than Stable Diffusion
+### Using DreamBooth for pipelines other than Stable Diffusion
 
-Altdiffusion also support dreambooth now, the runing comman is basically the same as abouve, all you need to do is replace the `MODEL_NAME` like this:
-One can now simply change the `pretrained_model_name_or_path` to another architecture such as [`AltDiffusion`](https://huggingface.co/docs/diffusers/api/pipelines/alt_diffusion).
+The [AltDiffusion pipeline](https://huggingface.co/docs/diffusers/api/pipelines/alt_diffusion) also supports dreambooth fine-tuning. The process is the same as above, all you need to do is replace the `MODEL_NAME` like this:
 
 ```
 export MODEL_NAME="CompVis/stable-diffusion-v1-4" --> export MODEL_NAME="BAAI/AltDiffusion-m9"
@@ -217,7 +216,7 @@ export MODEL_NAME="CompVis/stable-diffusion-v1-4" --> export MODEL_NAME="BAAI/Al
 
 ### Inference
 
-Once you have trained a model using above command, the inference can be done simply using the `StableDiffusionPipeline`. Make sure to include the `identifier`(e.g. sks in above example) in your prompt.
+Once you have trained a model using the above command, you can run inference simply using the `StableDiffusionPipeline`. Make sure to include the `identifier` (e.g. sks in above example) in your prompt.
 
 ```python
 from diffusers import StableDiffusionPipeline