Update README.md

README.md

@@ -10,12 +10,12 @@ library_name: diffusers
 ---
 
 
-Kolors-ControlNet-Canny weights and inference code
+# Kolors-ControlNet-Canny weights and inference code
 
 
 ## <a name="Introduction"></a>📖 Introduction
 
-We provide two ControlNet weights and inference code based on Kolors-Basemodel: Canny and Depth. You can find some example images in the following.
+We provide two ControlNet weights and inference code based on Kolors-Basemodel: Canny and Depth. You can find some example images below.
 
 
 **1、ControlNet Demos**
@@ -40,14 +40,14 @@ To evaluate the performance of models, we compiled a test set of more than 200 i
 | **Kolors-ControlNet-Canny**  | **4.06** |  **4.64**  | **4.45** | **3.52** |
 
 
-
 **2、Depth**
 
 |       Model       |  Average Overall Satisfaction | Average Visual Appeal | Average Text Faithfulness | Average Conditional Controllability |
 | :--------------: | :--------: | :--------: | :--------: | :--------: |
-| SDXL-ControlNet-Canny |	3.35	| 3.77	| 4.26	| 4.5 |
+| SDXL-ControlNet-Depth |	3.35	| 3.77	| 4.26	| 4.5 |
 | **Kolors-ControlNet-Depth**  | **4.12** |  **4.12**  | **4.62** | **4.6** |
 
+
 <img src="compare_demo.png">
 
 <font color=gray style="font-size:12px">*The [SDXL-ControlNet-Canny](https://huggingface.co/diffusers/controlnet-canny-sdxl-1.0) and [SDXL-ControlNet-Depth](https://huggingface.co/diffusers/controlnet-depth-sdxl-1.0) load [DreamShaper-XL](https://civitai.com/models/112902?modelVersionId=351306) as backbone model.*</font>
@@ -60,10 +60,8 @@ To evaluate the performance of models, we compiled a test set of more than 200 i
 
 The dependencies and installation are basically the same as the [Kolors-BaseModel](https://huggingface.co/Kwai-Kolors/Kolors).
 
-<br>
-
 
-1. Weights download：
+### Weights download：
 ```bash
 # Canny - ControlNet
 huggingface-cli download --resume-download Kwai-Kolors/Kolors-ControlNet-Canny --local-dir weights/Kolors-ControlNet-Canny
@@ -72,7 +70,7 @@ huggingface-cli download --resume-download Kwai-Kolors/Kolors-ControlNet-Canny -
 huggingface-cli download --resume-download Kwai-Kolors/Kolors-ControlNet-Depth --local-dir weights/Kolors-ControlNet-Depth
 ```
 
-If you intend to utilize the depth estimation network, please ensure to download its corresponding model weights.
+If you intend to utilize the depth estimation network, please make sure to download its corresponding model weights.
 ```
 huggingface-cli download lllyasviel/Annotators ./dpt_hybrid-midas-501f0c75.pt --local-dir ./controlnet/annotator/ckpts  
 ```
@@ -104,7 +102,7 @@ python ./controlnet/sample_controlNet.py ./controlnet/assets/bird.png 一只颜
 
 **c. Using depth ControlNet + IP-Adapter-Plus:**
 
-If you intend to utilize the kolors-ip-adapter-plus, please ensure to download its corresponding model weights.
+If you intend to utilize the kolors-ip-adapter-plus, please make sure to download its corresponding model weights.
 
 ```bash
 python ./controlnet/sample_controlNet_ipadapter.py ./controlnet/assets/woman_2.png ./ipadapter/asset/2.png  一个红色头发的女孩，唯美风景，清新明亮，斑驳的光影，最好的质量，超细节，8K画质 Depth