rocketdigitalai / interior-design-sdxl-lightning

Interior Design with RealVisXL V5.0-Lightning and ControlNet to generate photorealistic, high-resolution interior designs.

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This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

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AI Interior Designer

🏠 Transform Your Space with AI-Powered Interior Design

This AI model enhances interior images by generating photorealistic, high-resolution designs based on user-defined prompts. It utilizes Stable Diffusion XL, ControlNet, and the RealVisXL V5.0-Lightning model to create faster, detailed, professional-quality interior visualizations.

🔹 How It Works

  1. Upload an Image – Provide an input image of an interior space.
  2. Describe Your Style – Enter a prompt (e.g., “modern minimalist, cozy, warm lighting”).
  3. AI Processing:
  4. Depth ControlNet: Generates a depth map to enhance object positioning and perspective.
  5. Stable Diffusion XL (SDXL) Base Model: Uses RealVisXL V5.0-Lightning, optimized for ultra-realistic renders.
  6. Refinement Stage: The SDXL Refiner further enhances clarity, lighting, and textures.
  7. Generate & Download – AI outputs a high-quality interior design based on the input settings.

🛠️ Technologies Used

  • Base Model: RealVisXL V5.0-Lightning (Optimized for faster photorealistic, high-resolution outputs).
  • Stable Diffusion XL (SDXL): State-of-the-art AI for text-to-image and image-to-image generation.
  • ControlNet Depth: Extracts and preserves depth information from input images.
  • Intel DPT-Large Depth Estimation: Generates an initial depth map for improved spatial consistency.
  • Schedulers: Supports DPM++ 2M Karras (high quality).

⚙️ Adjustable Parameters

Parameter Description Default Value
Prompt Describe the desired style and theme. "masterpiece, photorealistic, interior design magazine quality"
Negative Prompt Define elements to avoid (e.g., distortions, noise). "ugly, deformed, blurry, watermark"
Scheduler DPM++ 2M Karras
Depth Strength Control the influence of the Depth ControlNet. 0.8
Inference Steps Number of denoising steps for image refinement. 6
Guidance Scale Adjusts how closely the output follows the prompt. 7