Impact of different choices for modeling dust on derived SEDs. We investigate modeling the dust via a simple dust-to-metals ratio (DTM), following the Rémy-Ruyer et al. (2014) observational scaling with metallicity on galaxy-wide scales, using the Li et al. (2019) best-fit relation between the dust-to-gas ratio and metallicity from simulated galaxies, an explicit on-the-fly dust calculation, and via the Li et al. (2019) machine-learning framework. In the top panel, we show the actual SEDs from these models, and in the bottom panel, the relative errors. The model employed here was GALAXY9 from the z = 0 snapshot of the m25n512 SIMBA simulation.