Upload README.md with huggingface_hub

README.md

@@ -43,6 +43,10 @@ English | [中文](./README_CN.md)
 
 ---
 
+> ## ⚠️ Important Notice
+>
+> **The Boogu team does NOT currently provide any paid API, subscription, or commercial service for Boogu-Image.** Any paid product or service offered under the name **"Boogu-Image"** — or any similar / variant name such as `booguimage`, `Boogu Image`, `Boogu`, etc. — is **NOT affiliated with this project** and is unofficial. Please verify carefully before making any payment, and stay vigilant to protect your personal privacy and financial safety.
+
 ## 📖 Introduction
 
 **Boogu-Image-0.1** is a competitive **Apache-2.0 open-source unified image generation and editing model family**, including **Base**, **Turbo**, **Edit**, and other variants that provide stable, practical capabilities for high-quality text-to-image generation, fast generation, image editing, and Chinese-English text rendering. Closed-source multimodal understanding and generation systems like Nano Banana Pro and GPT-Image-2 achieve remarkable performance not because of a single model, but through a highly unified suite of system capabilities. However, under training compute that is extremely limited compared with closed-source systems, we find that systematically improving a model's understanding ability, data quality, and training pipeline can still significantly improve image generation and editing performance. Specifically, compared with some existing open-source models, our training data scale is roughly one order of magnitude smaller. We hope our empirical study and open-source release will help advance the open-source ecosystem for multimodal generation and understanding.
@@ -66,10 +70,32 @@ Since we could not evaluate on LM Arena directly, we built **Boogu Arena**, an L
 ![Showcase for Photography](assets/text_rendering_triptych.png)
 - 🎨 **Diverse and Beautiful Stylization** — Handles stylized generation across miniature 3D scenes, Chinese-inspired gilded aesthetics, shining fantasy visuals, anime portraits, and mythic character art — not just style transfer, but stable, attractive, and prompt-aware creative generation
 ![Showcase for Photography](assets/stylization_triptych.png)
+- 🖌️ **Versatile Image Editing** — Handles a wide spectrum of editing tasks, including object insertion, replacement and removal, attribute and material modification, background and scene replacement, and faithful style transfer across artistic looks, while keeping the source subject and composition coherent
+![Showcase for Image Editing](assets/edit_cases_combined.png)
+![Showcase for Style Transfer](assets/style_cases_combined.png)
+- 🪧 **Personalized Poster Design & Product Rendering** — Generates personalized poster layouts and clean product visualizations with consistent branding, refined typography, and product-grade lighting and composition
+![Showcase for Poster & Product](assets/poster_cases_combined.png)
+- ✍️ **Precise Text Editing** — Enables fine-grained, in-image text editing — replacing, adding, or removing characters in both Chinese and English — and flexibly adapts fonts, weights, colors, and layouts to match different design intents
+![Showcase for Text Editing](assets/text_cases_combined.png)
 - 📊 **Competitive General Performance** — Demonstrates competitive performance across many scenarios and benchmarks, with the Boogu-Image-0.1 family ranking among the very top of evaluated open- and closed-source systems in Boogu Arena
 
 > 📖 For the full set of practical lessons and an honest account of current limitations, see [Responsible AI & Limitations](#-responsible-ai--limitations) below.
 
+## 🔬 Scenario-wise Comparison
+
+Beyond overall arena rankings, we break performance down by scenario across leading open-source peers. Ratings reflect our internal evaluation of typical prompts in each category.
+
+| Model | Realistic Photography | Simple Text Rendering | Dense Text Rendering |
+| :--- | :---: | :---: | :---: |
+| **Boogu-Image-0.1-Turbo** | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ |
+| **Boogu-Image-0.1-Base**  | ⭐⭐⭐  | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
+| Z-Image-Turbo             | ⭐⭐⭐⭐ | ⭐⭐⭐  | ⭐⭐ |
+| Qwen-Image-2512           | ⭐⭐⭐  | ⭐⭐⭐⭐ | ⭐⭐⭐ |
+
+- 📸 **Photography with reliable text rendering** — Boogu-Image-0.1-Turbo delivers realistic photography, while also offering solid performance on both simple and dense text rendering.
+- 📝 **Strong dense text rendering** — Boogu-Image-0.1-Base shows competitive results on dense, layout-heavy text scenarios such as posters, documents, brand guides, and complex bilingual designs.
+- 💡 **Recommendation** — When your workload is dominated by dense / ultra-dense text rendering needs, we recommend running **Boogu-Image-0.1-Base at 2K output resolution** for the best layout fidelity and character accuracy.
+
 ## 📣 News
 - **2026-06-XX** 🧊 **Boogu-Image-0.1-Edit-Turbo (Image-to-Image) is coming!**
 - **2026-06-XX** 🧊 **Boogu-Image-0.1-Turbo-2K (Text-to-Image) is coming!**