Using pre-trained CGCNN models, several material properties were predicted for each CIF. The distribution of each predicted property for each model was compared against the distribution of that property across real CIFs. Both Diffusion Models and WGANs were capable of approximating the real distribution of each predicted property to an adequate degree, while GANs struggled, once again showing the mode collapse that occurred.