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README.md

@@ -13,22 +13,24 @@ library_name: transformers
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-
-[//]: # (  <a href='https://meituan-longcat.github.io/LongCat-Image/'><img src='https://img.shields.io/badge/Project-Page-green'></a>)
-  <a href='https://arxiv.org/abs/'><img src='https://img.shields.io/badge/Technical-Report-red'></a>
-  <a href='https://huggingface.co/meituan-longcat/LongCat-Image'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-blue'></a>
-  <a href='https://huggingface.co/meituan-longcat/LongCat-Image-Dev'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dev-blue'></a>
-  <a href='https://huggingface.co/meituan-longcat/LongCat-Image-Edit'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Edit-blue'></a>
- <a href='https://github.com/meituan-longcat/LongCat-Image'><img src='https://img.shields.io/badge/GitHub-Code-black'></a>
+    <a href='https://arxiv.org/abs/'><img src='https://img.shields.io/badge/Technical-Report-red'></a>
+    <a href='https://github.com/meituan-longcat/LongCat-Image'><img src='https://img.shields.io/badge/GitHub-Code-black'></a>
+    <a href='https://github.com/meituan-longcat/LongCat-Flash-Chat/blob/main/figures/wechat_official_accounts.png'><img src='https://img.shields.io/badge/WeChat-LongCat-brightgreen?logo=wechat&logoColor=white'></a>
+    <a href='https://x.com/Meituan_LongCat'><img src='https://img.shields.io/badge/Twitter-LongCat-white?logo=x&logoColor=white'></a>
 </div>
 
 <div align="center" style="line-height: 1;">
-  <a href='https://github.com/meituan-longcat/LongCat-Flash-Chat/blob/main/figures/wechat_official_accounts.png'><img src='https://img.shields.io/badge/WeChat-LongCat-brightgreen?logo=wechat&logoColor=white'></a>  
-  <a href='https://x.com/Meituan_LongCat'><img src='https://img.shields.io/badge/Twitter-LongCat-white?logo=x&logoColor=white'></a>
+
+[//]: # (  <a href='https://meituan-longcat.github.io/LongCat-Image/'><img src='https://img.shields.io/badge/Project-Page-green'></a>)
+  <a href='https://huggingface.co/meituan-longcat/LongCat-Image'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-LongCat--Image-blue'></a>
+  <a href='https://huggingface.co/meituan-longcat/LongCat-Image-Dev'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-LongCat--Image--Dev-blue'></a>
+  <a href='https://huggingface.co/meituan-longcat/LongCat-Image-Edit'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-LongCat--Image--Edit-blue'></a>
 </div>
 
+
+
 ## Introduction
-We introduce **LongCat-Image**, a pioneering open-source, bilingual (Chinese-English) foundation model for image generation with **6B parameters**, designed to address core challenges in multilingual text rendering, photorealism, deployment efficiency, and developer accessibility. LongCat-Image delivers exceptional generation quality and remarkable model efficiency, achieving state-of-the-art performance while significantly lowering deployment barriers.
+We introduce **LongCat-Image**, a pioneering open-source and bilingual (Chinese-English) foundation model for image generation, designed to address core challenges in multilingual text rendering, photorealism, deployment efficiency, and developer accessibility prevalent in current leading models.
 <div align="center">
   <img src="assets/model_struct.jpg" width="90%" alt="LongCat-Image Generation Examples" />
 </div>
@@ -36,8 +38,8 @@ We introduce **LongCat-Image**, a pioneering open-source, bilingual (Chinese-Eng
 
 ### Key Features
 - 🌟 **Exceptional Efficiency and Performance**: With only **6B parameters**, LongCat-Image surpasses numerous open-source models that are several times larger across multiple benchmarks, demonstrating the immense potential of efficient model design.
-- 🌟 **Powerful Chinese Text Rendering**: The model demonstrates superior accuracy and stability in rendering common Chinese characters compared to existing SOTA open-source models and achieves industry-leading coverage of the Chinese dictionary.
-- 🌟 **Remarkable Photorealism**: Through an innovative data strategy and training framework, our model achieves remarkable photorealism in generated images.
+- 🌟 **Powerful Chinese Text Rendering**: LongCat-Image demonstrates superior accuracy and stability in rendering common Chinese characters compared to existing SOTA open-source models and achieves industry-leading coverage of the Chinese dictionary.
+- 🌟 **Remarkable Photorealism**: Through an innovative data strategy and training framework, LongCat-Image achieves remarkable photorealism in generated images.
 
 [//]: # (For more details, please refer to the comprehensive [***LongCat-Image Technical Report***]&#40;https://arxiv.org/abs/2412.11963&#41;.)
 
@@ -71,7 +73,7 @@ python setup.py develop
 ```
 
 ### Run Text-to-Image Generation
-
+**💡 Tip**: Using a stronger LLM model for prompt engineering can further improve image generation quality. Please refer to [inference_t2i.py](https://github.com/meituan-longcat/LongCat-Image/blob/main/scripts/inference_t2i.py#L28) for detailed usage.
 ```shell
 import torch
 from transformers import AutoProcessor