Update README.md

README.md

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 # 🥯 BAGEL • Unified Model for Multimodal Understanding and Generation
 
-<div align="left" style="line-height: 1;">
-  <a href="https://bagel-ai.org/" target="_blank" style="margin: 2px;">
-    <img alt="Homepage" src="https://img.shields.io/badge/BAGEL-Homepage-a468fe?color=a468fe&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+
+
+<p align="left">
+  <a href="https://bagel-ai.org/">
+    <img
+      src="https://img.shields.io/badge/BAGEL-Website-0A66C2?logo=safari&logoColor=white" style="display: inline-block; vertical-align: middle;"
+      alt="BAGEL Website"
+    />
   </a>
-  <a href="https://github.com/ByteDance-Seed/BAGEL/blob/main/BAGEL-Technical-Report.pdf" target="_blank" style="margin: 2px;">
-    <img alt="Technical Report" src="https://img.shields.io/badge/(upcoming)-Technical%20Report-brightgreen?logo=arxiv&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  <a href="https://github.com/ByteDance-Seed/BAGEL/blob/main/BAGEL-Technical-Report.pdf">
+    <img
+      src="https://img.shields.io/badge/BAGEL-Paper-red?logo=arxiv&logoColor=red" style="display: inline-block; vertical-align: middle;"
+      alt="BAGEL Paper on arXiv"
+    />
   </a>
   <a href="https://github.com/bytedance-seed/BAGEL" target="_blank" style="margin: 2px;">
-      <img alt="Github" src="https://img.shields.io/badge/GitGub-Repo-536af5?color=536af5&logo=github" style="display: inline-block; vertical-align: middle;"/>
+      <img 
+        alt="Github" src="https://img.shields.io/badge/BAGEL-Codebase-536af5?color=536af5&logo=github" style="display: inline-block; vertical-align: middle;"
+        alt="BAGEL Codebase"
+      />
   </a>
-</div>
+  <a href="https://demo.bagel-ai.org/">
+    <img
+      src="https://img.shields.io/badge/BAGEL-Demo-blue?logo=googleplay&logoColor=white" style="display: inline-block; vertical-align: middle;"
+      alt="BAGEL Demo"
+    />
+  </a>
+</p>
+
 
 > We present **BAGEL**, an open‑source multimodal foundation model with 7B active parameters (14B total) trained on large‑scale interleaved multimodal data. BAGEL outperforms the current top‑tier open‑source VLMs like Qwen2.5-VL and InternVL-2.5 on standard multimodal understanding leaderboards, and delivers text‑to‑image quality that is competitive with strong specialist generators such as SD3.
 Moreover, BAGEL demonstrates superior qualitative results in classical image‑editing scenarios than the leading open-source models. More importantly, it extends to free-form visual manipulation, multiview synthesis, and world navigation, capabilities that constitute "world-modeling" tasks beyond the scope of previous image-editing models.
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 ### 3. Image Editing
 | Benchmark                | Step1X-Edit | Gemini-2-exp. | **BAGEL** | **BAGEL + CoT** |
 | ------------------------ | ----------: | ------------: | --------: | --------------: |
-| **GEdit-Bench-EN** (↑)   |    **6.70** |          6.32 |      6.52 |               – |
-| **IntelligentBench** (↑) |        14.9 |          57.6 |      44.0 |        **55.3** |
+| **GEdit-Bench-EN (SC)** (↑)   |        7.09 |             6.73 |  **7.36** |               – |
+| **GEdit-Bench-EN (PQ)** (↑)   |        6.76 |             6.61 |  **6.83** |               – |
+| **GEdit-Bench-EN (O)** (↑)   |        **6.70** |             6.32 |  6.52 |               – |
+| **IntelligentBench** (↑) |        14.9 |          **57.6** |      44.0 |        55.3 |
 
 ## License
 BAGEL is licensed under the Apache 2.0 license. It is finetuned from [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) and [siglip-so400m-14-980-flash-attn2-navit](https://huggingface.co/HuggingFaceM4/siglip-so400m-14-980-flash-attn2-navit) model, and uses the [FLUX.1-schnell VAE model](https://huggingface.co/black-forest-labs/FLUX.1-schnell), all under Apache 2.0.