A latent style model describing manga styles based on the proposed manga-specific features is constructed to facilitate novel style-based applications. Two manga-specific features, i.e., screentone features showing texture and shade, and panel features showing panel arrangement, are firstly proposed to describe manga pages. Based on the latent Dirichlet allocation technique, we discover latent style elements embedded in manga documents, which are described by visual words derived from manga-specific features. Distributions of style elements are then used to measure similarity between manga documents, and facilitate the development of various style-based applications. Experimental results show that the features and models especially designed for describing manga styles yield promising performance and could bring many potential extensions.