Important reminder: the mirror must be attached to a flat place, otherwise the image may be slightly deformed, if the wall is not smooth, please do not buy it if you mind, thank you ! ! ! Please pay attention to all customers! ! ! The 22x22cm size mirror is a glass mirror made of glass, the 20x20cm and 30x30cm size mirrors are made of acrylic acrylic mirror, please pay attention to choose the correct option (SKU) for the desired product SKU option description: ( 22X22cm option) is 4pcs 22x22cm glass mirror, (6pcs 22x22cm option) is 6pcs 22x22cm Glass mirror, (1PC 20x20cm option) is 1pc 20x20cm acrylic mirror, (2PCS 20x20cm option) is 2pcs 20x20cm acrylic mirror,(4PCS 20x20cm option) is 4pcs 20x20cm acrylic mirror,(1PC 30x30cm option) is 1pc 30x30cm acrylic mirror,(2PCS 30x30cm option) is 2pcs 30x30cm acrylic mirror,(4PCS 30x30cm option) is 4pcs 30x30cm acrylic mirror Splicing self-adhesive mirror, specifications： 4 pieces, 1pc size:22cm x 22cm 100% brand new and high quality. Made of high quality material, durable and practical to use. Our wall hanging makeup mirror with ergonomic design and proper length ensures a silky and comfortable grip feeling. Easy to instal, it is a suitable make-up mirror, fashion and practical. Perfect weight and size. You aslo can hang it in your bathroom for convenient use. The surface is made of high definition smooth mirror without distortion or vagueness. Wall hanging design makes you easy to check your makeup. guarantee is guaranteed! HD glass-high definition, no distortion Exquisite trim-multiple polished edges ensure safe handling Easy installation-free double-sided foam tape included DIY-not only can be combined with a growing mirror, but also can be used as a makeup mirror or wall decoration alone Safe packaging-we use reinforced foam packaging to protect the mirror. 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.a