Update README.md

README.md

@@ -14,7 +14,18 @@ As generative AI (like SDXL, DALL·E, and Midjourney) becomes more accessible, t
 
 ## 🚀 Model Overview  
 
-**SDXL-Deepfake-Detector** is a fine-tuned vision transformer that classifies human faces as **AI-Generated (0)** or **Real (1)**. Trained on the [140k Real and Fake Faces](https://www.kaggle.com/datasets/xhlulu/140k-real-and-fake-faces) dataset.
+**SDXL-Deepfake-Detector** is a fine-tuned vision transformer that classifies human faces as **AI-Generated (0)** or **Real (1)**.
+
+## 🧠 Training Approach
+
+This model was obtained by **fine-tuning** the [`Organika/sdxl-detector`](https://huggingface.co/Organika/sdxl-detector) — a vision transformer pre-trained specifically to detect SDXL-generated faces — on the [140k Real and Fake Faces](https://www.kaggle.com/datasets/xhlulu/140k-real-and-fake-faces) dataset.  
+
+This approach leverages:
+- Prior knowledge of SDXL artifacts from the base model
+- Broader generalization from a large-scale real/fake face dataset
+- Efficient training on limited hardware (single RTX 3060)
+
+The result is a lightweight, high-accuracy detector optimized for **both SDXL and general diffusion-based deepfakes**.
 
 ### ✅ Key Highlights
 - **Architecture**: Fine-tuned Vision Transformer (ViT) via Hugging Face `transformers`