Scarlet Darkness Women Gothic Lace Patchwork Dress Short Sleeve Irregular Hem Dress

SKU: SL0291A22-01_00S

AVAILABILITY: In stock (4 items)

PRODUCT TYPE: Black,Red,hottest,dress,gothic

VENDOR: Scarlet Darkness

$42.88$33.99

You Save: $8.89 (21%)

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PRODUCT INFORMATION

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PRODUCT INFORMATION

Please check the measurements below and choose the right one.

Size	US	UK	DE	Unit	Fit Bust	Fit Waist	Back Length	Sleeve Length
S	*4~6*	*8~10*	*34~36*	cm	86.5~89	66~68.5	89	16.0
S	*4~6*	*8~10*	*34~36*	inch	34~35	26~27	35.0	6.3
M	*8~10*	*12~14*	*38~40*	cm	91.5~94	71~73.5	90.5	16.5
M	*8~10*	*12~14*	*38~40*	inch	36~37	28~29	35.6	6.5
L	*12~14*	*16~18*	*42~44*	cm	98~101.5	77~81	92	17.3
L	*12~14*	*16~18*	*42~44*	inch	38.5~40	30.5~32	36.2	6.8
XL	*16~18*	*20~22*	*46~48*	cm	105.5~109	85~89	93.5	18.1
XL	*16~18*	*20~22*	*46~48*	inch	41.5~43	33.5~35	36.8	7.1
2XL	*20~22*	*24~26*	*50~52*	cm	113~117	93~97	95	18.9
2XL	*20~22*	*24~26*	*50~52*	inch	44.5~46	36.5~38	37.4	7.4
3XL	*24~26*	*28~30*	*54~56*	cm	119.5~124.5	100~104	96.5	19.7
3XL	*24~26*	*28~30*	*54~56*	inch	47~49	39.5~41	38.0	7.8

*Dress Condition:100% Brand New.

*Dress Fabric:

Main Fabric:95%Polyester+5%Spandex

Contrast Fabric:90%Polyamide+10%Spandex

*Dress Color:Black/Wine(As pictures show).

*Dress Closure:Zip(Back)

*Dress Elasticity:Medium Stretchy.

*Dress Features:

Hits at mid-calf
Lace patchwork design
Short flounces sleeves
Hidden zip at back
Flared A-Line silhouette
Irregular hemline
Soft & comfortable fabric
Dress is moderately stretchy
Unlined

*Package Contents:1*Dress(No Accessories Included)

Garment Care Tips:

1, Maximum washing temperature:30℃,Normal process

2, Do not bleach

3, Do not tumble dry

4, Iron at maximum sole plate temperature of 110℃,steam ironing may cause irreversible damage

5, Wash dark colors separately,Do not iron PU

Notes:

1,The actual color of garment might be slightly different from pictures,since different screens display colors differently due to monitor settings and pixel definitions.

2,Please allow slight manual measurement deviation for the data.

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