The design of novel molecules and materials remains an important frontier for the scientific community, with new synthetic approaches being developed all the time. Such efforts are crucial across a wide array of applications, including energy storage technologies, 1 alloy design, 2 2D materials design, and drug discovery. The strategic navigation of this vast chemical space is critical for successful discovery of new material solutions to these challenging problems. Generative machine learning models have been at the forefront of this exploration, offering a glimpse into the future of computational design.