Improve model card with pipeline tag, library, and project links

README.md

@@ -1,20 +1,30 @@
 ---
-license: apache-2.0
 base_model:
 - black-forest-labs/FLUX.1-dev
 - Qwen/Qwen-Image
+license: apache-2.0
+pipeline_tag: text-to-image
+library_name: diffusers
 ---
+
 # ArcFlow
-ArcFlow: Unleashing 2-Step Text-to-Image Generation via High-Precision Non-Linear Flow Distillation
+
+[**ArcFlow: Unleashing 2-Step Text-to-Image Generation via High-Precision Non-Linear Flow Distillation**](https://huggingface.co/papers/2602.09014)
 <br/>
-Zihan Yang<sup>1</sup>, 
-[Shuyuan Tu](https://github.com/Francis-Rings)<sup>1</sup>, 
-Licheng Zhang<sup>1</sup>, 
-[Qi Dai](https://scholar.google.com/citations?hl=en&user=NSJY12IAAAAJ)<sup>2</sup>, 
-[Yu-Gang Jiang](https://scholar.google.com/citations?hl=en&user=f3_FP8AAAAAJ)<sup>1</sup>, 
+Zihan Yang<sup>1</sup>,
+[Shuyuan Tu](https://github.com/Francis-Rings)<sup>1</sup>,
+Licheng Zhang<sup>1</sup>,
+[Qi Dai](https://scholar.google.com/citations?hl=en&user=NSJY12IAAAAJ)<sup>2</sup>,
+[Yu-Gang Jiang](https://scholar.google.com/citations?hl=en&user=f3_FP8AAAAAJ)<sup>1</sup>,
 [Zuxuan Wu](https://zxwu.azurewebsites.net/)<sup>1</sup>
 <br/>
 [<sup>1</sup>Fudan University; <sup>2</sup>Microsoft Research Asia]
+
+Official Code Repository: [pnotp/ArcFlow](https://github.com/pnotp/ArcFlow)
+
+## Overview
+ArcFlow is a few-step distillation framework that explicitly employs non-linear flow trajectories to approximate pre-trained teacher trajectories. Built on large-scale models (Qwen-Image-20B and FLUX.1-dev), ArcFlow achieves a 40x speedup with 2 NFEs over the original multi-step teachers without significant quality degradation.
+
 ## Usage
 
 Please first install the [official code repository](https://github.com/pnotp/ArcFlow).