A new dataset, CompArt, and a lightweight adapter, ArtDapter, have been proposed to enable users to control the aesthetic composition of text-to-image generation models. This aims to improve the alignment of generated images with user-specified compositional constraints, using the Principles of Art. The approach is evaluated on a dataset of 80,032 images with captions and PoA analyses.