A denoising diffusion probabilistic model (DDPM) trained to generate 128×128 building façade images.
This model can be used for synthetic façade generation, data augmentation, or exploratory work in façade-related research.

Below is a sample generated by the model:

This model learns façade structures (windows, floor patterns, façade grids) from the training dataset and generates synthetic 128×128 images with similar architectural characteristics.