Update README.md

README.md

@@ -18,6 +18,7 @@ pipeline_tag: text-to-video
 [![Project Page](https://img.shields.io/badge/Project_Page-Link-green)](https://donghaotian123.github.io/Wan-Alpha/)
 [![🤗 HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Model-orange)](https://huggingface.co/htdong/Wan-Alpha)
 [![ComfyUI](https://img.shields.io/badge/ComfyUI-Version-blue)](https://huggingface.co/htdong/Wan-Alpha_ComfyUI)
+
 </div>
 
 <img src="assets/teaser.png" alt="Wan-Alpha Qualitative Results" style="max-width: 100%; height: auto;">
@@ -43,36 +44,10 @@ pipeline_tag: text-to-video
 
 ## 🚀 Quick Start
 
-### 1. Environment Setup
-```bash
-# Clone the project repository
-git clone https://github.com/WeChatCV/Wan-Alpha.git
-cd Wan-Alpha
-
-# Create and activate Conda environment
-conda create -n Wan-Alpha python=3.11 -y
-conda activate Wan-Alpha
-
-# Install dependencies
-pip install -r requirements.txt
-```
-### 2. Model Download
-Download [Wan2.1-T2V-14B](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B)
+Please see [Github](https://github.com/WeChatCV/Wan-Alpha) for code running details
 
-Download [Lightx2v-T2V-14B](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank64_bf16.safetensors)
 
-Download [Wan-Alpha](https://huggingface.co/htdong/Wan-Alpha)
 
-## 🧪 Usage
-```bash
-bash test_lightx2v_dora.sh
-```
-**Prompt Writing Tip:**  You need to specify that the background of the video is transparent, the visual style, the shot type (such as close-up, medium shot, wide shot, or extreme close-up), and a description of the main subject. Prompts support both Chinese and English input.
-
-```bash
-# An example of prompt.
-This video has a transparent background. Close-up shot. A colorful parrot is flying. Realistic style.
-```
 ## 🤝 Acknowledgements
 
 This project is built upon the following excellent open-source projects: