EigenFold is a diffusion generative model for protein structure prediction (i.e., known sequence -> distribution of structures). It is based on harmonic diffusion, which incorporates bond constraints in the diffusion modeling framework and results in a cascading-resolution generative process. This repository focuses on the experimental setting described in the paper---using OmegaFold embeddings to produce an ensemble of predicted backbone structures---but should be extensible to other settings.