Update README.md

README.md

@@ -11,13 +11,25 @@ license: mit
 short_description: Torch Transformers Diffusion SFT for Computer Vision
 ---
 
-# SFT Tiny Titans 🚀
 Tune NLP 🧠 or CV 🎨 fast! Texts 📝 or pics 📸, SFT shines ✨. `pip install -r requirements.txt`, `streamlit run app.py`. Snap cams 📷, craft art—AI’s lean & mean! 🎉 #SFTSpeed
 
+# SFT Tiny Titans 🚀 (Small Diffusion Delight!)
 
-# ${title}
+A Streamlit app for Supervised Fine-Tuning (SFT) of small diffusion models, featuring multi-camera capture, model testing, and agentic RAG demos with a playful UI.
 
-${short_description}
+## Features 🎉
+- **Build Titan 🌱**: Spin up tiny diffusion models from Hugging Face (Micro Diffusion, Latent Diffusion, FLUX.1 Distilled).
+- **Camera Snap 📷**: Snap pics with 6 cameras using a 4-column grid UI per cam—witty, emoji-packed controls for device, label, hint, and visibility! 📸✨
+- **Fine-Tune Titan (CV) 🔧**: Tune models with 3 use cases—denoising, stylization, multi-angle generation—using your camera captures, with CSV/MD exports.
+- **Test Titan (CV) 🧪**: Generate images from prompts with your tuned diffusion titan.
+- **Agentic RAG Party (CV) 🌐**: Craft superhero party visuals from camera-inspired prompts.
+- **Media Gallery 🎨**: View, download, or zap captured images with flair.
+
+## Installation 🛠️
+1. Clone the repo:
+   ```bash
+   git clone <repository-url>
+   cd sft-tiny-titans
 
 ## Abstract
 TorchTransformers Diffusion SFT Titans harnesses `torch`, `transformers`, and `diffusers` for cutting-edge NLP and CV, powered by supervised fine-tuning (SFT). Dual `st.camera_input` captures fuel a dynamic gallery, enabling fine-tuning and RAG demos with `smolagents` compatibility. Key papers illuminate the stack: