KDJ Womens Sexy Seamless Underwear Buckle T-shaped underwear Low-waist briefs

Features: *Comfortable Seamless Design: These women s underwear feature a seamless construction ensuring a comfortable and irritation-free fit. The smooth fabric feels soft against the skin. *Stylish Buckle T-shaped Design: With the unique buckle T-shaped design these underwear are not only comfortable but also stylish. The buckle adds a touch of charm and enhances the overall look. *Low-waist Briefs: Designed with a low-waist style these briefs sit below the natural waistline making them perfect for low-rise bottoms. They provide a flattering and sexy silhouette. *Materials: Crafted from materials these underwear are and long-lasting. They retain their shape and elasticity even after multiple wears and washes. *Versatile and Practical: These underwear are perfect for everyday wear whether it s for work leisure or special occasions. Details: *Tag Size:S-XL Size reference provided below. Size Chart (1 inch=2.54cm) Tag Size S M L XL Waist cm 65 69 73 77 Waist inch 25.6 27.2 28.7 30.3 Length cm 19 20 21 22 Length inch 7.5 7.9 8.3 8.7 Different measurement methods please allow 1-2cm deviation * Item Fabric:Nylon * Item Color:White Black Coffee Apricot Brown * Item Features:Womens Sexy Seamless Underwear Buckle T-shaped underwear Sports Fitness Low-waist briefs * Item Condition:Brand New * Item Description: 1) Applicable gender:Female 2) Features:Nylon 3) Waist type:Low-waist 4) Elasticity:Medium elasticity 5) Pattern:Solid color 6) Style:Casual Sexy 7) Suitable season:All seasons 8) Application:Daily Home Hotel Sleep * Package Contents:1*Briefs(Other items not included) How to choose proper size? 1) Use similar garment to compare with the sizes 2) Choose larger sizes if your sizes are same as the flat measurement size chart Notes: 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 (±2Cm)manual measurement deviation for the data.