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-license: mit
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+license: mit
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+# TokenFlow🚀: Unified Image Tokenizer for Multimodal Understanding and Generation
+
+<div align="center">
+  
+[![TokenFlow](https://img.shields.io/badge/Paper-TokenFlow-2b9348.svg?logo=arXiv)](https://arxiv.org/abs/2412.03069)
+[![huggingface weights](https://img.shields.io/badge/%F0%9F%A4%97%20Weights-TokenFlow-yellow)](https://huggingface.co/ByteFlow-AI)
+[![project page](https://img.shields.io/badge/Project_page-More_visualizations-green?logo=bytedance)](https://byteflow-ai.github.io/TokenFlow/)
+
+</div>
+
+
+## 🌿 Introduction
+
+We present TokenFlow, a unified image tokenizer that bridges the long-standing gap between multimodal understanding and generation. 
+TokenFlow introduce an innovative dual-codebook architecture that decouples semantic and pixel-level feature learning while maintaining their alignment through a shared mapping mechanism. 
+
+TokenFlow excels in both multimodal understanding and image generation. For multimodal understanding, we surpass the flagship models such as LLaVA-1.5 and EMU3 by a large margin. For text-to-image generation, we also achieve comparable performance to SDXL in 256×256 resolution.
+
+
+## ⚙️ Getting Started
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+See [GETTING_STARTED.md](https://github.com/ByteFlow-AI/TokenFlow/blob/main/GETTING_STARTED.md) for detailed instructions of ***training*** and ***evaluation*** of TokenFlow tokenizer.