Diagnoses from histopathology images rely on information from both high and low resolutions of WSIs. URCDMs allow for the synthesis of high-resolution images that are realistic at all magnifications, focusing not only on fidelity but also on long-distance spatial coherency. Our model beats existing methods, improving the pFID-50k score by 110.63 to 39.52 pFID-50k. Additionally, a human expert evaluation study was performed, reaching a weighted Mean Absolute Error (MAE) of 0.11 for the LRDM and a weighted MAE of 0.22 for the URCDM.