* This is an original artist created 3d sculpture inspired by single-storey storefront / small commercial building.
Single-storey commercial storefront block with classical moulded trim, rectangular recessed paneling, central recessed doorway and a curved bay display window at the right-front corner. The building sits on a thin sidewalk base. No people or additional props present. No parts of the primary subject appear to be cut off — the entire storefront geometry (façade, parapet, roof box, side wall and sidewalk base) is visible within the frame.
Available railroad scales: N (1:160), HO (1:87.1), S (1:64), O (1:48)
Dimensions by Scale (mm):
- N (1:160) | 37.5 x 43.8 x 30.0 mm (W x D x H)
- HO (1:87.1) | 68.9 x 80.4 x 55.1 mm (W x D x H)
- S (1:64) | 93.8 x 109.4 x 75.0 mm (W x D x H)
- O (1:48) | 125.0 x 145.8 x 100.0 mm (W x D x H)
- 1:18 | 333.3 x 388.9 x 266.7 mm (W x D x H)
- 1:24 | 250.0 x 291.7 x 200.0 mm (W x D x H)
Ready to print digital download in one piece with no assembly needed.
IMPORTANT: You are purchasing the file in the scale selected below.
Miniature Reality Makes practical, print-ready scenery and vehicles so you can economically fill out the background of your layout, diorama, or tabletop without paying centerpiece prices for everything ( We want your miniature worlds to feel real and full of life - with more variety, more detail in every scene, and prices that won't hold you back.
Miniature Reality Personal-Use License (No AI / No Resale)
- Allowed: personal printing for your own layouts, dioramas, tabletop games, and personal display.
- Not allowed: sharing or distributing the digital files (free or paid), re-uploading to any site, bundling, remix resale, or selling/redistributing printed outputs.
- Not allowed: using the files (or derivatives) to train, fine-tune, test, or feed any AI/ML system (including dataset creation).
- Not allowed: commercial use of any kind without a separate written commercial license from Miniature Reality.
- Enforcement note: digital files may include purchaser-linked identifiers / forensic watermarking to help investigate unauthorized distribution.
