Transform Your Space with AI: Discover Space Remodel's Interior Design Innovations

Space Remodel

Space Remodel uses AI to turn your room images into stunning design inspirations across 30+ styles, offering a one-stop solution for all your interior design needs.

Transform Your Space with AI: Discover Space Remodel's Interior Design Innovations

Space Remodel revolutionizes the way we approach interior design by leveraging advanced AI technology. This innovative tool is designed for interior designers, homeowners, and anyone looking to reimagine their living spaces. With just a single click, Space Remodel can generate thousands of unique design proposals tailored to your room's structure and layout, sparking endless design inspiration.

Key Features of Space Remodel:

  • One-Stop Design Solution: Whether it's your living room, dining room, kitchen, bedroom, bathroom, dressing room, or children's room, Space Remodel supports a wide array of room types.
  • Diverse Styles: Choose from an extensive range of design styles including Industrial, Modern, Minimalist, Coastal, Country, and Scandinavian.
  • Color Schemes by Renowned Designers: Each design style comes with five or more color schemes recommended by renowned designers, ensuring your design is both professional and personalized.
  • Customizable Design: Space Remodel supports customized designs using different renovation materials, allowing you to create your unique dream home.

How It Works:

Space Remodel utilizes ControlNet, adapting Stable Diffusion to use M-LSD detected edges in an input image alongside text input to generate an output image. The training data is generated using a learning-based deep Hough transform to detect straight lines from Places2, with captions generated by BLIP. Starting with the Canny model as a checkpoint, the model is trained with 150 GPU-hours using Nvidia A100 80G.

ControlNet is a neural network structure that enables the control of pretrained large diffusion models to support additional input conditions beyond prompts. It learns task-specific conditions in an end-to-end manner, ensuring robust learning even with small training datasets (50k samples). Training a ControlNet is as fast as fine-tuning a diffusion model, and it can be done on a personal device or scaled up with powerful computation clusters for larger datasets.

Large diffusion models like Stable Diffusion can be augmented with ControlNets to enable conditional inputs such as edge maps, segmentation maps, and keypoints, making Space Remodel a versatile tool for interior design.

Download Space Remodel for free today and start building your dream house. Share your design achievements with friends and explore the endless possibilities of AI-powered interior design.

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