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README.md

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-title: Silicon Photonics Image Generator
-emoji: 🏃
-colorFrom: pink
-colorTo: red
-sdk: gradio
-sdk_version: 5.47.0
-app_file: app.py
-pinned: false
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-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🔬 Silicon Photonics Image Generator
+
+Generate technical diagrams and visualizations for silicon photonics using our fine-tuned LoRA model based on Stable Diffusion XL.
+
+## Features
+
+- **High-Quality Generation**: Uses Stable Diffusion XL with custom LoRA fine-tuning
+- **Technical Focus**: Optimized for silicon photonics diagrams and visualizations
+- **Customizable Parameters**: Control inference steps, guidance scale, dimensions, and seed
+- **Professional Output**: Generates technical diagrams suitable for educational and research purposes
+
+## Usage
+
+1. Enter a detailed prompt describing the silicon photonics component you want to visualize
+2. Adjust the negative prompt to exclude unwanted elements
+3. Fine-tune the generation parameters:
+   - **Inference Steps**: Higher values (20-30) for better quality
+   - **Guidance Scale**: Controls adherence to prompt (7.0 is recommended)
+   - **Dimensions**: Choose appropriate size for your use case
+   - **Seed**: Use the same seed for reproducible results
+4. Click "Generate Image" to create your visualization
+
+## Example Prompts
+
+- "A detailed technical diagram of a silicon waveguide showing light propagation"
+- "Cross-section view of a silicon photonic integrated circuit with waveguides and couplers"
+- "3D visualization of a silicon ring resonator for optical filtering"
+- "Schematic diagram of a silicon photonic modulator with electrodes"
+
+## Model Details
+
+- **Base Model**: Stable Diffusion XL 1.0
+- **Fine-tuning**: LoRA (Low-Rank Adaptation) for silicon photonics
+- **Training Data**: Technical diagrams and visualizations from silicon photonics literature
+- **Optimized For**: Educational content, research visualizations, technical documentation
+
+## Technical Specifications
+
+- **Framework**: PyTorch with Diffusers
+- **Precision**: FP16 for efficiency
+- **Device**: CUDA (if available) or CPU
+- **Memory**: ~8GB VRAM recommended for optimal performance
+
+## License
+
+This model is fine-tuned for educational and research purposes in silicon photonics.