s trained in two steps: an encoder accepts the point clouds and rendered views of a 3D asset and outputs the parameters of implicit functions that represent the asset a diffusion model is trained on the latents produced by the encoder to generate either neural radiance fields (NeRFs) or a textured 3D mesh, making it easier to render and use the 3D asset in downstream applications This guide will show you how to use Shap-E to start generating yo