3D Fauna is a method for building 3D animal models by learning from 2D network images. It addresses the challenge of model generalization by introducing a collection of semantically related models and provides a new large-scale dataset. During inference, given any image of a quadruped, our model can reconstruct an associated 3D mesh model within seconds through a feed-forward process.