LDM_res v1.0 is a downscaling model based on a Latent Diffusion Model (LDM, used by e.g. Stable Diffusion), developed to downscale meteorological variables from ERA5 reanalyses. We trained and tested LDM_res to produce 2-km fields of 2-m temperature and 10-m wind speed horizontal components starting from a list of predictors from ERA5 (interpolated @16km). The high-resolution reference truth data are provided by a dynamical downscaling performed with COSMO5.0_CLM9 (VHR-REA IT). The model and its performance are presented and discussed in this paper. This repository contains the code for testing and training LDM_res, all the baselines presented in the paper, and the code used to generate all the paper Figures. A GPU is recommended for both testing and training LDM_res. Contributors: @elenatomasi, @franchg and @mcristoforetti