This repository provides a PyTorch implementation of U-GAT-IT, an unsupervised image-to-image translation model. It uses an attention module to guide the model toward important distinguishing regions between source and target domains. The model incorporates AdaLIN (Adaptive Layer-Instance Normalization) to flexibly control the amount of shape and texture changes. The implementation supports translation between unpaired image datasets.