This archive contains the ChestX-ray14 StyleGAN2-ADA model weights that were used for anomaly detection within radiographs from the Medical Imaging and Data Resource Center (MIDRC) in the manuscript entitled "Generative Modeling for Interpretable Failure Detection in Liver CT Segmentation and Scalable Data Curation of Chest Radiographs". The model weights were saved at 25,000 kimgs, having achieved the lowest Fréchet Inception Distance (5.12) across those kimgs.