Update pipeline tag to any-to-any and add transformers library_name

README.md

@@ -1,9 +1,9 @@
 ---
 license: other
-pipeline_tag: image-to-image
+library_name: transformers
+pipeline_tag: any-to-any
 ---
 
-
 [中文文档](./README_zh_CN.md)
 
 <div align="center">
@@ -24,7 +24,7 @@ pipeline_tag: image-to-image
   <a href=https://hunyuan.tencent.com/image target="_blank"><img src=https://img.shields.io/badge/Official%20Site-333399.svg?logo=homepage height=22px></a>
   <a href=https://huggingface.co/tencent/HunyuanImage-3.0-Instruct-Distil target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=22px></a>
   <a href=https://github.com/Tencent-Hunyuan/HunyuanImage-3.0 target="_blank"><img src= https://img.shields.io/badge/Page-bb8a2e.svg?logo=github height=22px></a>
-  <a href=https://arxiv.org/pdf/2509.23951 target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a>
+  <a href=https://huggingface.co/papers/2509.23951 target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a>
   <a href=https://x.com/TencentHunyuan target="_blank"><img src=https://img.shields.io/badge/Hunyuan-black.svg?logo=x height=22px></a>
   <a href=https://docs.qq.com/doc/DUVVadmhCdG9qRXBU target="_blank"><img src=https://img.shields.io/badge/📚-PromptHandBook-blue.svg?logo=book height=22px></a>
 </div>
@@ -40,7 +40,7 @@ pipeline_tag: image-to-image
 - **January 26, 2026**: 🚀 **[HunyuanImage-3.0-Instruct-Distil](https://huggingface.co/tencent/HunyuanImage-3.0-Instruct-Distil)** - Distilled checkpoint for efficient deployment (8 steps sampling recommended).
 - **January 26, 2026**: 🎉 **[HunyuanImage-3.0-Instruct](https://huggingface.co/tencent/HunyuanImage-3.0-Instruct)** - Release of **Instruct (with reasoning)** for intelligent prompt enhancement and **Image-to-Image** generation for creative editing.
 - **October 30, 2025**: 🚀 **[HunyuanImage-3.0 vLLM Acceleration](./vllm_infer/README.md)** - Significantly faster inference with vLLM support.
-- **September 28, 2025**: 📖 **[HunyuanImage-3.0 Technical Report](https://arxiv.org/pdf/2509.23951)** - Comprehensive technical documentation now available.
+- **September 28, 2025**: 📖 **[HunyuanImage-3.0 Technical Report](https://huggingface.co/papers/2509.23951)** - Comprehensive technical documentation now available.
 - **September 28, 2025**: 🎉 **[HunyuanImage-3.0 Open Source](https://github.com/Tencent-Hunyuan/HunyuanImage-3.0)** - Inference code and model weights publicly available.
 
 
@@ -107,7 +107,7 @@ If you develop/use HunyuanImage-3.0 in your projects, welcome to let us know.
 
 ## 📖 Introduction
 
-**HunyuanImage-3.0** is a groundbreaking native multimodal model that unifies multimodal understanding and generation within an autoregressive framework. Our text-to-image and image-to-image model achieves performance **comparable to or surpassing** leading closed-source models.
+**HunyuanImage-3.0** is introduced in the [HunyuanImage 3.0 Technical Report](https://huggingface.co/papers/2509.23951). It is a groundbreaking native multimodal model that unifies multimodal understanding and generation within an autoregressive framework. Our text-to-image and image-to-image model achieves performance **comparable to or surpassing** leading closed-source models.
 
 
 <div align="center">
@@ -151,8 +151,8 @@ For **up to 3x faster inference**, install these optimizations:
 # FlashInfer for optimized moe inference. v0.5.0 is tested.
 pip install flashinfer-python==0.5.0
 ```
-> 💡**Installation Tips:** It is critical that the CUDA version used by PyTorch matches the system's CUDA version. 
-> FlashInfer relies on this compatibility when compiling kernels at runtime.
+> 💡**Installation Tips:** It is critical that the CUDA version used by PyTorch matches the system's CUDA version. \
+> FlashInfer relies on this compatibility when compiling kernels at runtime. \
 > GCC version >=9 is recommended for compiling FlashAttention and FlashInfer.
 
 > ⚡ **Performance Tips:** These optimizations can significantly speed up your inference!
@@ -533,4 +533,4 @@ We extend our heartfelt gratitude to the following open-source projects and comm
 [![GitHub forks](https://img.shields.io/github/forks/Tencent-Hunyuan/HunyuanImage-3.0?style=social)](https://github.com/Tencent-Hunyuan/HunyuanImage-3.0)
 
 
-[![Star History Chart](https://api.star-history.com/svg?repos=Tencent-Hunyuan/HunyuanImage-3.0&type=Date)](https://www.star-history.com/#Tencent-Hunyuan/HunyuanImage-3.0&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=Tencent-Hunyuan/HunyuanImage-3.0&type=Date)](https://www.star-history.com/#Tencent-Hunyuan/HunyuanImage-3.0&Date)