While it's blocking I can now pick up where I left off and turn to some recreational knitting (I think I've just coined a new term).
First I have to reconstruct what I was working on and where I put it. No matter how organized I like to think I am, I'm not. I fill bags with things that need to go to different rooms - and then don't empty them for weeks or months. Add to that the dogs recent interest as yarn as a toy and I am facing quite a treasure hunt.
I uncovered Gamine, this was to be my transition into spring garment. The yarn I'm using is Swans Island Washable Wool (Aran: 100% organic merino, 100 yards).
It could still happen, I have to finish the bottom border, neck border and whatever happens to the armholes. Well, I may be sweating in it if spring comes before I'm done. I. am. wearing. this. - at least once before packing it away for the fall.
So now, what to knit next?
© Louise Zass-Bangham
Song of the Sea Infinity Scarf to be knit with
Island Yarn Pagoda (Fingering: 65% Merino, 25% Bamboo, 500 yards). A pattern with the word "sea" in it has to be knit in a color with blues (in my opinion).
Bergere #553 - 3/4 Sleeve Scoop Neck to be knit with
Mirasol Nuna (Sport:
40% Silk, 40% Wool, 20% Bamboo, 191 yards).
Book FAM Fatto A Mano #218, #52 Pullover to be knit with
Lang Yarns, Filo (Sport: 75% cotton, 25% nylon, 219 yards).
Big Damn Heroes to be knit with
Dragonfly Pixie (Fingering: 100% superwash merino, 475 yards).
As I look over my choices, I noticed the following:
- They are all fine weight yarns (fingering or sport) which means tiny needles for me.
- With the exception of Song of the Sea, all the colors are outside of my (color) box.
- They are all lace projects.
- Two of them are projects my sister knit and I have to copy her. She found them first and they looked cool. Which two you're wondering? Song of the Sea and Big Damn Heroes.
The dogs are sleeping on it.
2 comments:
I vote for Big Damn Heroes; looks like a very interesting pattern.
Mirasol Nuna is awesome. You should knit that project.
I might be biased.
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