This chapter provides an overview of the diverse architectures implemented and evaluated in this book. It begins with a concise review of the selected diffusion model, highlighting some implementations. Following this discussion, the chapter proceeds to detail the architecture choice of the diffusion model, which has its implementation discussed in the subsequent chapter. After, it delves into the guidance system, which forms the core approach to addressing the problem. Subsequently, it relates the main distinction between the proposed model and previously implemented diffusion models, the Artificial Neural Network (ANN), with the different proposed solutions and architectural choices discussed in detail. Finally, it examines the evaluation metrics and optimization techniques employed for the proposed model.