Collectors Edit | Yaara Full Sleeve Keyhole Linen Dress

Collectors Edit | Yaara Full Sleeve Keyhole Linen Dress

Brand: Miimi & Jiinda
329.00 AUD In stock Buy at Merchant

Yaara Full Sleeve Keyhole Linen Dress A perfect blend of classic elegance and contemporary style. This linen dress features voluminous puff sleeves, feminine cut out open back and tailored bodice, balanced with a soft flared mini skirt. Feminine and classic, it is a timeless piece leaving you feeling confident and chic. This stunning dress fits a range of sizes, with a relaxed fit waist and flared mini skirt that carries over the hips. Finished length is above knee, shorter than seen on models. As seen on the runway at Afterpay Australian Fashion Week. Full Sleeve Keyhole Linen Dress comes in both Yaara and Miinggi prints, see variant listing to order. High quality, sustainably sourced 100% Linen; minimal creasing Hand wash or dry clean only; do not tumble dry, lay flat; gentle iron Artwork Yaara (shine) a Miimi & Jiinda original artwork, inspired by our matriarchal lineage, the strength and resilience of our mothers and grandmothers. The print celebrates our culture, our people, our innate wisdom and our continuous connection to Country. Sizing and Feel Our high end, 100% Linen fabricc is soft and luxurious with a medium weight for a cozy feel. Sizes 6-16 (see sizing guide for details) Designed by Melissa Greenwood on Gumbaynggirr Country and proudly made on Gadigal land. Note: Print and colours may differ in appearance across varied screens and websites. There are also natural variations that occur with printing natural fabrics, minor variations are common, adding to the uniqueness of your garment. Print location will be unique to each garment and will vary from the placement shown on the photographed garment, so your garment, already exclusive in the limited production run, will be one of a kind. Afterpay available

Specifications
Size
10
Variants (1)
  • 10 — 329.00 AUD — In stock

How AI sees this product

The more complete this product's details, the more confidently AI assistants can understand and recommend it.

78%