About this asset

This parametric wood grain Substance material for Substance 3D provides a high-quality, tileable surface with adjustable grain. This procedural wood material features a highly realistic grain structure, suitable for a variety of timber finishes. The surface exhibits a natural, vertical orientation with subtle variations in fibre density, mimicking raw or lightly treated timber. The material is designed to be fully parametric, allowing for fine-tuned adjustments to the wood tone, grain depth, and surface roughness. The visual output remains consistent across all scales, ensuring that the texture does not suffer from repetitive patterns or obvious tiling artefacts, providing a convincing, high-fidelity finish for complex architectural surfaces, millwork, and interior joinery elements.

The download is a 338 KB file containing a Substance (.sbsar) material that opens in Substance 3D Player, Sampler and Painter and in renderers with Substance support.

As an.sbsar file, this material is designed for seamless integration into Substance 3D workflows. Users can load the file into the graph to adjust parameters such as colour intensity, grain density, and glossiness before exporting the necessary PBR maps for their chosen render engine. The procedural nature ensures that the texture remains sharp and clear at any resolution, providing flexibility for both close-up detail shots and large-scale architectural visualisations without the limitations of traditional bitmap files.

Ideal for high-end interior design and architectural projects, this material is effective for surfacing bespoke cabinetry, timber flooring, wall panelling, and custom furniture pieces. It pairs well with neutral palettes and minimalist design schemes, offering a warm, organic contrast to concrete or metal elements. Professionals working in residential, hospitality, or retail sectors will find this asset useful for creating realistic, non-repetitive wood finishes that adapt to specific project requirements, ensuring a polished, professional look across diverse surfaces and project scales.