Price: $23.99
(as of Dec 09, 2024 19:03:49 UTC – Details)
From the brand
Snowflake White Collection
Holiday Valance Collection
Throw Pillow Covers Collection
Holiday Curtains Collection
Christmas Shower Curtain
Winter Shower Curtain
Holiday Floral Collection
Tie Up Shade Valance: A package comes in 1 tie-up shade valance curtain panel measuring 42 inch width by 45 inch length. Our flax linen valance curtains feature 3 inch pole pocket to coordinate with most standard curtain rods. Adjustable ties can be switched to meet your needs for light.
Floral Printed Window Treatments: Frame your window with JINCHAN ready-made botanic valance window treatments. Graceful peonies pattern on linen-poly blend fabric creates a sense of freshness and elegance, adding natural and peaceful ambiance to your room, easily matching your existing interior decor.
Light Filtering Valance: Our tie-up shade valance diffuse excessive light while offering some privacy, making it the elegant balloon shade valance. Enjoy the cozy time by enjoying the soft light inside. Lightweight & breathable fabric is suitable for use throughout the home.
Wide Application: Beyond the kitchen, the valance transcend boundaries, enhancing various space within your home. Adorn glass door, bathroom, living room, laundry, study, basement, closet, cabinet, RV, and camper with this versatile addition. It complements farmhouse, rustic, modern, or vintage decor styles.
Easy Maintenance: Embrace convenience without compromising elegance. This semi-sheer top window valance is machine washable in cold water on the gentle cycle, followed by a low setting tumble dry. Avoid bleach. To smooth out any creases from packing and shipping, gently iron the linen curtains at a low temperature.
Customers say
Customers like the quality, color, and value of the curtains. They mention the texture and color are just as described, the curtains are easy to hang and tie, and the kitchen fit is perfect. Customers also like the functionality, fabric thickness, and light privacy.
AI-generated from the text of customer reviews