Ghostlava Kit - Dashing Fingering & Veranita - Glacier & Solstice

The Pattern

Keep yourself extra snug this winter with our Ghostlava protecting yourself from all the elements (including the spooky kind!)

The balaclava is knitted flat. Start by working a provisional cast on (this will later be folded in half and worked together using kitchener stitch to form the top of the head). Work back and forth, following the colourwork chart and making increases/decreases to shape the head and chin. The neck is then knitted in stockinette stitch before being sewn together down the centre front. Finish by working I-cord edging around the neck and face hole.

You can buy the Ghostlava here or on Ravelry.

Get the Ghostlava pattern for free until 7pm Friday 3rd November when buying any Ghostlava kit. Simply add the Ghostlava kit and Ghostlava Pattern and enter code TRICK23 at checkout.

The Kit

You will receive 1x skein of Dashing Fingering in Glacier and x1 Skein of Veranita in Solstice.

Details

Dashing Fingering is a 4ply yarn Merino wool, this makes it extra soft and comfortable against the skein and create a beautiful sheen that makes our colour-ways shine. A versatile yarn perfect for any kind of projects, especially lace patterns and special stitches as it has great stitch definition. 

• Fibre: 100% Ultrafine South African Merino
• Weight: 100g grams
• Length: 400 meters | 437 yards
• Gauge:  28 stitches = 10cm | 4 inches
• Needle Size: 2.25 - 3.25mm | 0 - 2 US
• Care: Hand wash cold, lay flat to dry

Veranita is our super luxe lace-weight cashmere base. We wanted something unique and rare that would create the most beautiful garments - one we could claim is one of the softest yarns in the woolly world.

Veranita is a wonderful alternative for those who can not wear Mohair or Suri alpaca bases.

• Fibre: 79% Supreme Fluffy Cashmere | 21% Silk
• Weight: 25g
• Length: 300m
• Care: Hand wash cold, lay flat to dry.

Disclaimer: Due to the nature of hand-dyed yarn and different screens/devices, colours may vary slightly from the images.