Add paper/demo/badges to README and upload model checkpoint

README.md

@@ -3,4 +3,24 @@ license: apache-2.0
 language:
 - en
 pipeline_tag: text-to-speech
----
+---
+
+<h1 align="center">DiFlow-TTS: Compact and Low-Latency Zero-Shot Text-to-Speech with Discrete Flow Matching</h1>
+
+<p align="center">
+  <a href="https://github.com/Fsoft-AIC/DiFlowTTS/tree/main"><img src="https://img.shields.io/badge/GitHub-Code-181717?logo=github" alt="GitHub"></a>
+  <a href="https://arxiv.org/abs/2509.09631"><img src="https://img.shields.io/badge/arXiv-2509.09631-b31b1b?logo=arxiv" alt="Paper"></a>
+  <a href="https://fsoft-aic.github.io/SonNN45-Demo/projects/diflowtts/"><img src="https://img.shields.io/badge/Demo-Page-blue?logo=googlechrome&logoColor=white" alt="Demo"></a>
+  <a href="https://interspeech2026.org/en-AU"><img src="https://img.shields.io/badge/Interspeech-2026-orange" alt="Interspeech 2026"></a>
+</p>
+
+> [!NOTE]
+> DiFlow-TTS is trained on 470 hours of the LibriTTS dataset, which consists of **predominantly neutral speech**. As a result, **it may not perform well on prompts with strong emotional expression**.
+
+Download [DiFlow-TTS](https://https://huggingface.co/Fsoft-AIC/DiFlowTTS/tree/main/diflowtts.ckpt) checkpoint, and place it as follows:
+
+```
+root/
+└── ckpts/
+    └── diflow-tts.ckpt
+```

diflow-tts.ckpt

@@ -0,0 +1,3 @@
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