How To Use

1. Upload Your 3D Render – Start by providing a depth-based 3D render. This image serves as the structural guide for the visualization process.
2. Select a Model – Choose an SDXL-based model for generating the photorealistic rendering. The model influences the style and fidelity of the final output.
3. Enter a Prompt – Provide a textual description of the desired look and feel, specifying textures, lighting, and materials.
4. Generate & Refine – The system processes the input render, extracts depth information, and enhances it using AI-driven image synthesis.
5. Save & Export – Once satisfied with the generated visualization, you can save it to a board for further refinement or export it for use in presentations or client deliverables.

How It Works

1. Depth Extraction & Preprocessing – The uploaded 3D render undergoes depth estimation to create a structural reference for the AI model.
2. Edge & Structure Refinement – The workflow applies canny edge detection and ControlNet guidance to preserve architectural details.
3. Model Conditioning – The SDXL model is loaded and conditioned with both positive and negative prompts, influencing the aesthetic and ensuring photorealistic results.
4. Noise & Latent Processing – A denoising process refines the structure, removing unwanted artifacts while enhancing depth perception.
5. Image Blending & Enhancement – The AI blends structural data with texture and material suggestions from the prompt, ensuring realism and coherence.
6. Final Output Generation – The model produces a high-resolution, photorealistic architectural visualization, which can be reviewed, saved, or further edited.

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