diff --git a/README.md b/README.md
index 2995150..cc5de5e 100644
--- a/README.md
+++ b/README.md
@@ -13,20 +13,31 @@
   </a>
 </p>
 
+<p align="center">
+    <img alt="python version" src="https://github.com/Sanster/models/assets/3998421/561b8395-76a2-4c70-ab24-9f6986924c6a" height=600 />
+</p>
+
 ## Quick Start
 
+### Start webui
+
 IOPaint provides a convenient webui for using the latest AI models to edit your images. 
-The installation process for IOPaint is also simple, requiring just two commands:
+You can install and start IOPaint easily by running following command:
 
 ```bash
 # In order to use GPU, install cuda version of pytorch first.
 # pip3 install torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu118
+# AMD GPU users, please utilize the following command, only works on linux, as pytorch is not yet supported on Windows with ROCm.
+# pip3 install torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/rocm5.6
+
 pip3 install iopaint
 iopaint start --model=lama --device=cpu --port=8080
 ```
 
 That's it, you can start using IOPaint by visiting http://localhost:8080 in your web browser.
 
+### Batch processing
+
 You can also use IOPaint in the command line to batch process images: 
 
 ```bash
@@ -45,7 +56,7 @@ You can see more information about the available models and plugins supported by
 
 - Completely free and open-source, fully self-hosted, support CPU & GPU & Apple Silicon
 - Supports various AI models:
-  - Erase models: These models are usually used to remove people or objects from images.
+  - Erase models: These models can be used to remove unwanted object, defect, watermarks, people from image.
   - Stable Diffusion models: You can use any Stable Diffusion Inpainting(or normal) models from [Huggingface](https://huggingface.co/models?other=stable-diffusion) in IOPaint. 
 Some popular used models include:
     - [runwayml/stable-diffusion-inpainting](https://huggingface.co/runwayml/stable-diffusion-inpainting)
@@ -59,7 +70,7 @@ Some popular used models include:
     - [timbrooks/instruct-pix2pix](https://huggingface.co/timbrooks/instruct-pix2pix)
     - [Fantasy-Studio/Paint-by-Example](https://huggingface.co/Fantasy-Studio/Paint-by-Example)
     - [kandinsky-community/kandinsky-2-2-decoder-inpaint](https://huggingface.co/kandinsky-community/kandinsky-2-2-decoder-inpaint) 
-- [Plugins](https://iopaint.com/plugins):
+- Plugins
   - [Segment Anything](https://iopaint.com/plugins/interactive_seg): Accurate and fast interactive object segmentation
   - [RemoveBG](https://iopaint.com/plugins/rembg): Remove image background or generate masks for foreground objects
   - [Anime Segmentation](https://iopaint.com/plugins/anime_seg): Similar to RemoveBG, the model is specifically trained for anime images.
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