Update README.md

README.md

@@ -37,9 +37,14 @@ base_model: stabilityai/stable-diffusion-xl-base-1.0
 instance_prompt: Chinese Ink
 license: creativeml-openrail-m
 pipeline_tag: text-to-image
+library_name: diffusers
 ---
-## Introduction
+# Chinese Ink Painting
+
+## Examples
+<Gallery />
 
+## Introduction
 The [**Stable Diffusion XL**](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) model is finetuned on comtemporatory Chinese ink paintings.
 
 ## Usage
@@ -48,10 +53,7 @@ Our inference process is speed up using [**LCM-LORA**](https://huggingface.co/la
 pip install --upgrade pip
 pip install --upgrade diffusers transformers accelerate peft
 ```
-# Text to Image
-
-Text-to-Image
-
+## Text to Image
 Here, we should load two adapters, **LCM-LORA** for sample accleration and **Chinese_Ink_LORA** for styled rendering with it's base model stabilityai/stable-diffusion-xl-base-1.0. 
 Next, the scheduler needs to be changed to LCMScheduler and we can reduce the number of inference steps to just 2 to 8 steps(8 used in my experiment). 
 
@@ -86,15 +88,10 @@ axs[1].imshow(images[1])
 axs[1].axis('off')
 plt.show()
 ```
-![plt](images/Comparison.png)
-# Chinese_Ink_Painting
-
-<Gallery />
-
 
 ## Trigger words
 
-You should use `Chinese Ink` to trigger the image generation.
+You should use **`Chinese Ink`** to trigger the image generation.
 
 
 ## Download model