README.md

metadata

title: Silicon Photonics Image Generator
emoji: 🔬
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit

🔬 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.