About this asset

This minimalist SketchUp living room scene features a neutral beige fabric sofa, a rounded lounge chair, and a solid wood coffee table. Defined by a soft, monochromatic palette, this living room interior utilizes a blend of organic textures and clean geometric lines. The space is anchored by a low-profile, modular fabric sofa in off-white, complemented by a sculptural, rounded armchair with side detailing. A central circular coffee table in natural wood with a segmented base provides a grounding element. The backdrop incorporates a subtle vertical slat wall panel against a smooth plaster finish, creating visual depth without clutter. A light, textured rug defines the seating area, while a potted indoor plant adds a touch of natural warmth.

The download is a 70.5 MB compressed archive containing the native SketchUp (.skp) model. It opens directly in SketchUp; for 3ds Max, Blender or Cinema 4D, import it through a SketchUp importer or convert it first.

As a complete SketchUp scene, this file is structured for immediate integration into larger residential projects. Users can treat the file as a master template or extract individual furniture components for use in other models. The geometry is grouped by object type, allowing for easy selection and scaling of the furniture pieces. Materials are applied to standard surfaces, which can be modified or replaced to suit specific project requirements. Lighting settings and scene cameras are pre-configured to assist in establishing a base render.

This scene is ideal for residential interior design projects, particularly those focusing on minimalist or contemporary aesthetics. It serves as a valuable reference for architects and designers developing high-end living room concepts. The neutral colour scheme pairs well with diverse interior styles, making it suitable for mood boards or as a starting point for client presentations. Professionals searching for a balanced, ready-to-render living room layout will find the composition and material selection highly effective for residential visualisation and space planning workflows.