🏠 AI Interior Design - Structure Preserving

Transform your room's style while preserving the original structure, layout, and architectural elements.

πŸ”§ Key Features

This app uses advanced image-to-image and ControlNet models that can:

  • βœ… Maintain room dimensions and proportions
  • βœ… Preserve architectural features (windows, doors, walls)
  • βœ… Keep furniture placement and spatial relationships
  • βœ… Transform only the style, colors, and materials

πŸ€– Technology Stack

The app leverages multiple state-of-the-art models in priority order:

  1. FLUX.1-dev ControlNet Union Pro - Advanced ControlNet with multiple control types
  2. ControlNet Room Segmentation - Specialized for interior design
  3. FLUX.1 ControlNet Union - High-quality structure preservation
  4. Stable Diffusion Depth Img2Img - Uses depth information
  5. Stable Diffusion v1.5 Img2Img - Reliable transformation
  6. FLUX.1-dev - General purpose fallback

🎨 Style Presets

  • Modern Minimalist - Clean lines, neutral colors, natural light
  • Luxury Contemporary - High-end materials, elegant finishes
  • Scandinavian Style - Light wood, cozy atmosphere, hygge concept
  • Industrial Chic - Exposed brick, metal fixtures, urban aesthetic
  • Cozy Traditional - Warm colors, classic patterns, timeless design

πŸ“‹ How to Use

  1. Upload your room photo
  2. Choose a style preset or add custom prompt
  3. Adjust transformation strength (lower = more preservation)
  4. Generate your transformed design!

πŸ’‘ Tips for Best Results

  • Use well-lit, clear photos of rooms
  • Avoid blurry or dark images
  • Lower strength values preserve more of the original structure
  • Try different style presets to find your favorite

πŸ”§ Technical Implementation

This application uses:

  • Image-to-image transformation for style transfer
  • ControlNet technology for structure preservation
  • Smart fallback system across multiple models
  • Enhanced prompting with architectural preservation keywords
  • Base64 image encoding for API compatibility
  • Retry logic with exponential backoff

The models are specifically chosen and configured for their ability to preserve room layout and architectural elements while transforming aesthetic style.


Built with ❀️ using Gradio and Hugging Face Transformers

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