Miniature Reality
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Seated Festival Attendee

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Miniature Reality

Seated Festival Attendee

$2.99

Digital STL download — delivered by email, nothing ships.

Scale

Need a different scale? Scale this STL to any size →

Digital delivery

After checkout you'll receive an email with secure download links for your files in the scale you chose. If anything doesn't arrive, contact us at miniaturerealities@gmail.com and we'll make it right.

What's included

A high-resolution STL file, generated in the scale you select above.

  • Delivered by email within minutes of your purchase
  • Suitable for both FDM and resin printers
  • Personal-use license included
See more about licensing

A seated festival attendee holding a blanket — detailed 3D-printable miniature perfect for dioramas, dollhouses, and model-railroad scenes. The model is supplied as high-quality STL optimized for both resin and FDM printing. Fine surface detail makes it ideal for close-up display; the blanket and relaxed pose work well as a scatter prop or seated figure in contemporary scenes. Printing tips: print upright or on its back with light supports under the arms and blanket folds. Recommended layer heights: 0.03–0.1 mm for resin, 0.08–0.2 mm for FDM depending on desired detail. Scale to suit your scene — model measures approximately 20 × 30 × 35 mm (W × D × H) at the original export size. Clean and paint as usual for best results.

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.
  • Note: digital files may include purchaser-linked identifiers / forensic watermarking to help investigate unauthorized distribution.