Update README.md

README.md

@@ -11,43 +11,114 @@ base_model:
   - Wan-AI/Wan2.1-I2V-14B-720P
 library_name: diffusers
 ---
-# Wan2.1 Distilled Models
+<div align="center">
 
-This is a collection of distilled and accelerated versions of Wan2.1 video generation models, offering multiple precision and format options. All models are optimized for **4-step inference**, dramatically improving generation speed while maintaining high-quality outputs.
+# 🎬 Wan2.1 Distilled Models
 
-## 📦 Model Overview
+### ⚡ High-Performance Video Generation with 4-Step Inference
 
-This repository provides multiple distilled versions of Wan2.1 models, covering different tasks, resolutions, and precisions:
+*Distilled and accelerated versions of Wan2.1 - Dramatically faster while maintaining exceptional quality*
 
-### Model Types
+---
 
-- **Image-to-Video (I2V)**: 480P / 720P resolutions
-- **Text-to-Video (T2V)**: 14B parameter version
+[![🤗 HuggingFace](https://img.shields.io/badge/🤗-HuggingFace-yellow)](https://huggingface.co/lightx2v/Wan2.1-Distill-Models)
+[![GitHub](https://img.shields.io/badge/GitHub-LightX2V-blue?logo=github)](https://github.com/ModelTC/LightX2V)
+[![License](https://img.shields.io/badge/License-Apache%202.0-green.svg)](LICENSE)
 
-### Precision Variants
+</div>
 
-Each model is available in the following precision options:
+---
 
-| Precision | Suffix Identifier | Size | Framework | Description |
-|-----------|-------------------|------|-----------|-------------|
-| **BF16** | `lightx2v_4step` | ~28-32 GB | LightX2V | Original precision, highest quality |
-| **FP8** | `scaled_fp8_e4m3_lightx2v_4step` | ~15-17 GB | LightX2V | FP8 quantization, half size |
-| **INT8** | `int8_lightx2v_4step` | ~15-17 GB | LightX2V | INT8 quantization, half size |
-| **FP8 ComfyUI** | `scaled_fp8_e4m3_lightx2v_4step_comfyui` | ~15-17 GB | ComfyUI | ComfyUI compatible format |
+## 🌟 What's Special?
 
-### Naming Convention Examples
+<table>
+<tr>
+<td width="50%">
 
-```
-wan2.1_{task}_{resolution}_{precision}.safetensors
+### ⚡ Ultra-Fast Generation
+- **4-step inference** (vs traditional 50+ steps)
+- Up to **2x faster** than ComfyUI
+- Real-time video generation capability
+
+</td>
+<td width="50%">
+
+### 🎯 Flexible Options
+- Multiple resolutions (480P/720P)
+- Various precision formats (BF16/FP8/INT8)
+- I2V and T2V support
+
+</td>
+</tr>
+<tr>
+<td width="50%">
+
+### 💾 Memory Efficient
+- FP8/INT8: **~50% size reduction**
+- CPU offload support
+- Optimized for consumer GPUs
+
+</td>
+<td width="50%">
+
+### 🔧 Easy Integration
+- Compatible with LightX2V framework
+- ComfyUI support available
+- Simple configuration files
+
+</td>
+</tr>
+</table>
+
+---
+
+## 📦 Model Catalog
+
+### 🎥 Model Types
+
+<table>
+<tr>
+<td align="center" width="50%">
+
+#### 🖼️ **Image-to-Video (I2V)**
+Transform still images into dynamic videos
+- 📺 480P Resolution
+- 🎬 720P Resolution
+
+</td>
+<td align="center" width="50%">
+
+#### 📝 **Text-to-Video (T2V)**
+Generate videos from text descriptions
+- 🚀 14B Parameters
+- 🎨 High-quality synthesis
+
+</td>
+</tr>
+</table>
+
+### 🎯 Precision Variants
+
+| Precision | Model Identifier | Model Size | Framework | Quality vs Speed |
+|:---------:|:-----------------|:----------:|:---------:|:-----------------|
+| 🏆 **BF16** | `lightx2v_4step` | ~28-32 GB | LightX2V | ⭐⭐⭐⭐⭐ Highest quality |
+| ⚡ **FP8** | `scaled_fp8_e4m3_lightx2v_4step` | ~15-17 GB | LightX2V | ⭐⭐⭐⭐ Excellent balance |
+| 🎯 **INT8** | `int8_lightx2v_4step` | ~15-17 GB | LightX2V | ⭐⭐⭐⭐ Fast & efficient |
+| 🔷 **FP8 ComfyUI** | `scaled_fp8_e4m3_lightx2v_4step_comfyui` | ~15-17 GB | ComfyUI | ⭐⭐⭐⭐ ComfyUI ready |
+
+### 📝 Naming Convention
+
+```bash
+# Pattern: wan2.1_{task}_{resolution}_{precision}.safetensors
 
-Examples:
-- wan2.1_i2v_720p_lightx2v_4step.safetensors              # 720P I2V original precision
-- wan2.1_i2v_720p_scaled_fp8_e4m3_lightx2v_4step.safetensors  # 720P I2V FP8 quantization
-- wan2.1_i2v_480p_int8_lightx2v_4step.safetensors         # 480P I2V INT8 quantization
-- wan2.1_t2v_14b_scaled_fp8_e4m3_lightx2v_4step_comfyui.safetensors  # T2V ComfyUI scale_fp8 format
+# Examples:
+wan2.1_i2v_720p_lightx2v_4step.safetensors                          # 720P I2V - BF16
+wan2.1_i2v_720p_scaled_fp8_e4m3_lightx2v_4step.safetensors         # 720P I2V - FP8
+wan2.1_i2v_480p_int8_lightx2v_4step.safetensors                    # 480P I2V - INT8
+wan2.1_t2v_14b_scaled_fp8_e4m3_lightx2v_4step_comfyui.safetensors  # T2V - FP8 ComfyUI
 ```
 
-> 💡 **Tip**: Browse [Files](https://huggingface.co/lightx2v/Wan2.1-Distill-Models/tree/main) to see all available models
+> 💡 **Explore all models**: [Browse Full Model Collection →](https://huggingface.co/lightx2v/Wan2.1-Distill-Models/tree/main)
 
 ## 🚀 Usage