About this asset

A 3ds Max model of a contemporary L-shaped sectional sofa upholstered in textured beige linen with a deep, comfortable chaise. This contemporary L-shaped sectional sofa features a clean-lined, blocky silhouette defined by generous proportions and a relaxed, casual aesthetic. The piece is upholstered in a tactile, high-quality beige linen, which exhibits subtle natural variations in texture across the seat and back cushions. Its modular construction includes a prominent chaise section on one side, providing an elongated seating profile. The frame is low-profile, maintaining a grounded appearance, while the cushions appear soft and inviting, suggesting a high level of comfort suitable for modern lounge spaces and residential interiors.

The download is a 27.1 MB compressed archive containing the native 3ds Max (.max) model, set up with Corona materials. Open it in 3ds Max with Corona installed; for other programs, export to FBX or OBJ from 3ds Max first.

When integrating this 3ds Max model into a scene, ensure the object is placed on the floor plane using the pivot point at the base. The linen texture is mapped to provide realistic fabric depth; adjust the tiling if necessary to maintain consistent scale. Because the model is provided as a single asset, it can be easily grouped or instanced within your scene. Use standard lighting setups to highlight the natural weave of the linen upholstery and the soft, organic folds in the cushions.

This sectional sofa is well-suited for modern living rooms, open-plan apartments, and high-end hospitality lounges. Its neutral beige finish allows it to integrate seamlessly with various interior palettes, from minimalist to bohemian. Designers often pair this piece with low-profile coffee tables, textured area rugs, and soft ambient floor lamps to create a cohesive seating area. When searching for this type of asset, professionals typically look for modular sofas, linen-upholstered seating, or contemporary L-shaped arrangements for residential and commercial project visualisations.