Houdini 21 offers an ML Train Style Transfer node that trains a machine learning model to apply visual style from one class of images to another, enabling artists to automate the transformation of textures or rendered images to match a target aesthetic.

The new ML Train Style Transfer TOP node, introduced in Houdini 21, trains a neural network on two classes of images — the source and the target style — and exports the resulting model in ONNX format. The trained model can then be applied inside Houdini via the ONNX Interface SOP (for 3D geometry contexts) or the ONNX Inference COP (within the Copernicus image-processing framework). This allows artists to automate texture and image stylization within their production pipeline.