pix2pix model for predicting pbr texture maps from an albedo texture
This model costs approximately $0.0015 to run on Replicate, or 666 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia A40 GPU hardware. Predictions typically complete within 3 seconds. The predict time for this model varies significantly based on the inputs.
This is an implementation of Tensorflow’s pix2pix trained on a dataset of pbr materials.
pix2pix is a general purpose conditional adversarial network for image-to-image translation prediction. There are 4 separate models intended to be used to generate each of the texture maps needed for a Unity Standard Shader PBR Material.
