It should be mentioned that the ZeoDiff model was developed specifically for pure silica zeolites, but extending its application to other classes of porous materials can be readily made by utilizing appropriate atom channels. As materials become more complex, the dimension of the data representation (i.e. number of atom channels) would also increase, making it potentially challenging to utilize the diffusion model for materials such as MOFs and COFs. Nevertheless, we want to note that the increased complexity does not necessarily lead to difficulties in the generation process as it provides additional information on chemical characteristics through inter-channel correlations. Moreover, we employed a methane energy grid as a case study to represent the property space for the zeolite structures, but users have the flexibility to utilize any other gas probe depending on their specific property of interest. The integration of diffusion models, along with other generative models, holds great promise for driving significant breakthroughs in the field of material discovery and we hope that this work serves as a cornerstone for achieving this.