Update README.md

README.md

@@ -62,16 +62,12 @@ It is recommended to use the checkpoint with [Stable Diffusion v1-5](https://hug
 has been trained on it.
 Experimentally, the checkpoint can be used with other diffusion models such as dreamboothed stable diffusion.
 
-**Note**: If you want to process an image to create the auxiliary conditioning, external dependencies are required as shown below:
-1. Install https://github.com/patrickvonplaten/controlnet_aux
-```sh
-$ pip install controlnet_aux==0.3.0
 ```
-2. Let's install `diffusers` and related packages:
+1. Let's install `diffusers` and related packages:
 ```
 $ pip install diffusers transformers accelerate
 ```
-3. Run code:
+2. Run code:
 ```python
 import torch
 import os
@@ -121,10 +117,16 @@ image.save('images/output.png')
 ## Other released checkpoints v1-1
 The authors released 14 different checkpoints, each trained with [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) 
 on a different type of conditioning:
+
 | Model Name | Control Image Overview| Control Image Example | Generated Image Example |
 |---|---|---|---|
+
 TODO
+
 ### Training
+
 TODO
+
 ### Blog post
+
 For more information, please also have a look at the [Diffusers ControlNet Blog Post](https://huggingface.co/blog/controlnet).