This super soft sleepy baby snuggly set set consists of a baby sleeping bag and matching hat. It buttons at both the feet and neck allowing you to make those nighttime changes with minimum disturbance.
It was designed for my step-daughter who is expecting her first baby. She wanted a sleeping bag as it is easy for a baby to kick off a blanket but should stay nice and warm in this.
It is made in Sirdar Snuggly Snowflake Chunky which is the softest feeling yarn, perfect for bedtime cuddles. The bag uses a circular needle as it is knitted in the round with some sections knitted flat.
The hat uses either a circular or straight needles, whichever you are happy with as it is knitted flat and then seamed at the end. The top of the hat is worked as an i-cord and this is where you will need dpns.
The set takes around 150-300g of chunky weight yarn.
All my patterns have been tech edited and test knitted
Clear and simple instructions Charted and written instructions Instant digital download Perfect for making quick gifts
The sample was knitted in King Cole Glitz DK (97% polyester, 3% nylon) in colourway Savoy 371. The large size takes about 60g of yarn. You could substitute any DK yarn that you like, use up some stash or a luxury skein that you’ve been saving just for you.
The Everglade Tam is knitted with dk weight yarn. You could substitute any DK weight yarn. I used 3.5mm and 4mm needles and King Cole Glitz Double Knitting . The Hat / Beanie pattern has instructions for three sizes from 17 to 22 inch brim to fit a broad range of heads and hair volume. The design features a reverse stocking stitch background on the cable panel, to show off the cable stitches and let them shine.
As always, when I’m knitting for the knitworthy members of my family or dear friends, I consider how they’re going to wear it, wash it, the colours they love and what styles they wear. In this case, it’s for me and I saw this yarn and felt it was perfect for the Everglade Beret / Tam and the matching Everglade Beanie style hat. Which style do you prefer?