About this asset

This Christmas photo studio HDRI environment map provides realistic 360-degree interior lighting for architectural visualisations. Captured within a professional photography studio, this environment map features a festive, rustic setup. The scene includes a wooden slatted room divider, a decorative ladder, and a cozy seating area layered with textured textiles and faux-fur rugs. Christmas trees adorned with warm-toned fairy lights provide ambient glow, which is balanced against the bright, neutral output of two large softbox studio lights. The composition is clean and functional, reflecting the practical layout of a seasonal portrait space with a mix of warm wood tones and soft, diffused white light sources.

The download is a 6.3 MB file containing a 2K equirectangular high-dynamic-range environment map, ready to load as dome or world lighting in Blender, 3ds Max, SketchUp renderers, Unreal Engine and D5.

Users can load this 2K HDR file directly into the environment or world lighting slot of any major rendering engine. It functions as a complete lighting solution, providing both the background plate for reflections and the primary illumination for your 3D scene. Adjust the exposure intensity within your software to match the light levels of your project, and rotate the map to align the softbox highlights with your primary subjects for consistent, professional-grade studio lighting effects.

This asset is suitable for interior design visualisations, commercial studio mock-ups, and holiday-themed architectural renderings. It pairs effectively with furniture models, lifestyle props, and interior product showcases where a warm, seasonal atmosphere is required. Professionals often search for studio HDRIs to achieve realistic lighting for product photography or to set the scene for festive residential interiors. It is particularly useful during the project development stage when creating high-quality marketing imagery for retail spaces, home staging portfolios, or seasonal hospitality design presentations.