README.md

metadata

title: Architecture AI Enhancer
emoji: 🏗️
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.20.0
app_file: app.py
pinned: false
license: mit
python_version: '3.10'

Architecture AI Enhancer

Transform your architectural renders with AI-powered enhancement using Stable Diffusion 1.5.

Features

• 🎨 AI image enhancement with Stable Diffusion
• 📈 2x upscaling with ESRGAN
• 🎭 Photographic post-processing
• ⚙️ Configurable parameters
• 🚀 GPU-accelerated inference
• 🎓 Custom LoRA training (local only)

Usage

1. Upload an architectural render
2. Add custom prompt details (optional)
3. Adjust enhancement settings (optional)
4. Click "Enhance Image"
5. Wait for processing (2-5 minutes on CPU, ~30 seconds on GPU)
6. Download your enhanced result

🎓 Custom LoRA Training

Want to train the AI on your specific architectural style? Check out the complete training guide:

📖 LoRA Training Guide

Learn how to:

• Prepare training image pairs
• Train custom LoRA models locally
• Fine-tune for your specific rendering style
• Deploy your custom model

Note: Training requires running the backend locally due to computational requirements.

Technical Details

• Model: runwayml/stable-diffusion-v1-5
• Framework: PyTorch + Diffusers
• Interface: Gradio 4.44.0
• Version: 1.0.0

Settings Guide

• Strength (0.1-0.8): Controls how much the AI modifies the image

  • 0.2-0.3: Subtle enhancements
  • 0.4-0.5: Moderate changes
  • 0.6-0.8: Dramatic transformations

• Guidance Scale (1-15): How closely the AI follows the prompt

  • 4-6: Natural, balanced results
  • 7-10: More stylized
  • 11-15: Very strong prompt adherence

Credits

Built with:

• Stable Diffusion
• Diffusers
• Gradio
• PyTorch