June Bride Spends 1,000 Hours Crocheting Her Wedding Dress

In London, a June bride spent almost 1,000 hours, day and night, crocheting her own wedding dress.

The bride, Tania Jennnings, worked on a total of 150 individual lace pieces beginning November of last year for the dress she wore on her wedding in St. Pancras Church on June 6, Huffington Post reports.

The Portland, Oregon-native webbed all the pieces after her final dress fitting, sewn on top of the silver satin dress designed by a friend. Picking her husband's favorite color, purple, and the traditional wedding dress color, white, Jennings crocheted all the elaborate pieces together until the very day of her wedding.

"I spent most of the night before the wedding working on the dress, taking a little nap of an hour or two around 4 a.m. to recharge," she told Huffington Post. "I think everyone else was very anxious as my bridesmaids kept asking me how I could be so calm. But for me crocheting is so relaxing that I just had to smile and keep going, knowing that the dress would tell me when it was ready."

The bride was very happy with her original creation upon seeing the outcome of the dress.

"It was so light and flowed into the skirt just as I had hoped," she added. "I was very relieved when at the reception a friend came up to me and said that as soon as I walked into the church, everyone just smiled because the dress was 'me.'"

Jennings has loved crocheting since she was a kid and was inspired by another bride she saw online, who crocheted the details of her wedding dress by herself.

With patterns chosen by people close to her, the bride made a tribute to her in-laws by including their suggested flower pattern, her daughter, Gabby's tulip choice, and another daughter, Bridgette's elephant design. She crocheted a martini glass pattern, a special reminder of the online game that brought her husband to her.

When asked for the most intricate part, Jennings shared that the five Polish stars sewn on the train were 80 hours in the making.

More News
Real Time Analytics