About this asset

This procedural pink twill fabric material for Substance 3D provides a fully tileable, parametric surface for realistic upholstery. This procedural material features a tight, diagonal twill weave pattern characteristic of durable upholstery textiles. The surface displays a consistent pink colouration with subtle white highlights within the weave structure, mimicking the interplay of light on synthetic or cotton-blend fibres. As a parametric graph, it allows for infinite variation without visible repeating patterns or lens artefacts common in standard bitmap textures. The weave density is uniform, providing a clean, professional finish suitable for soft furnishings, cushions, or task chair upholstery, ensuring a realistic tactile quality across both close-up renders and wide-angle interior visualisations.

The download is a 451 KB file containing a Substance (.sbsar) material that opens in Substance 3D Player, Sampler and Painter and in renderers with Substance support.

Designed for use in Substance 3D, this.sbsar file functions as a dynamic material graph. Users can load the file directly into the material library to adjust parameters such as weave scale, colour hue, and normal intensity before exporting maps to their preferred render engine. Because it is procedural, it provides high-fidelity results at any scale without the need for manual tiling adjustments or UV map manipulation, streamlining the texturing workflow for complex furniture assets.

This fabric material is ideal for interior design projects requiring soft, contemporary textiles in residential, hospitality, or office settings. It pairs well with modern furniture pieces, such as lounge chairs, modular sofas, or decorative throw pillows. Professionals can use this asset to quickly iterate through fabric colour options during the design development phase, ensuring a cohesive material palette. Search for this material when specifying upholstery for commercial-grade seating or custom soft goods, as its procedural nature ensures flexibility across varied project scales.