Supplementary models for the ETHOS.PASSION project: github.com/FZJ-IEK3-VSA/PASSION The PASSION python package provides a framework for estimating the rooftop photovoltaic potential of a region by analysing its satellite imagery. The library allows all the necessary steps, like obtaining the imagery from one of the services (Bing Maps or Google Maps) or training the segmentation model. Final result can be obtained in terms of Levelised Cost of Electricity (LCOE). These model weights can be used for an easy setup instead of training new models.