FRTmvg 100 Pcs 1:100/1:150/1:75/1:50 Scale People Figures - ABS Building Model Passengers, Painted Train Scenery Figurines, Multicolor Mixed Poses for DIY Layouts (1:150)

• Robust ABS plastic: durable and long-lasting, ensuring your figurines can withstand frequent use.
• Multi-colored painted details: Each figurine is hand-painted with vibrant colors, adding a touch of realism to your scenes.
• 【Variety of Poses】Includes 100 pieces with various male and female poses, offering diversity and lifelike appearances.
• Multiple scales: Available in 1:100 (18mm), 1:150 (13mm), 1:75 (25mm), and 1:50 (36mm) scale, suitable for different model sizes.
• Versatile use: perfect for train layouts, building models, dioramas and other hobby projects.

Product Description:  Bring your model train layouts and building scenes to life with the 1:100/1:150/1:75/1:50 Scale People Figures! These ABS plastic figurines are perfect for adding realism and detail to your DIY projects,Enhancing model train layouts and building scenes.Adding realism to dioramas and other hobby projects.  Features:  Durable ABS Plastic: Durable and long-lasting, ensuring your figurines withstand frequent use.  Multicolor Painted Details: Each figure is hand-painted with vibrant colors, adding a touch of realism to your scenes.  Variety of Poses: Includes 100 pieces with various male and female poses, providing diversity and lifelike appearances.  Multiple Scales: Available in 1:100 (18 mm), 1:150 (13 mm), 1:75 (25 mm), and 1:50 (36 mm) scales, suitable for different model sizes.  Versatile Use: Perfect for train layouts, building models, dioramas, and other hobby projects.   Specifications:  Material: ABS Plastic  Color: Multicolor  Scale: 1:100 (18 mm), 1:150 (13 mm), 1:75 (25 mm), 1:50 (36 mm)  Package Includes: 100 x Painted Model People Figures  Note:  1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness. 2. Please allow slight manual measurement deviation for the data.