Do a double take, because Euphoria star Sydney Sweeney is giving major Anna Nicole Smith energy — and honestly, it’s almost spooky.
The 24‑year‑old actress teamed up with Guess Originals for a campaign that pays tribute to the late model and icon, who passed away in 2007. Sweeney recreated a legendary photo shoot Smith did for the brand back in 1992, and the results are nothing short of stunning.
From the platinum blonde bombshell hair to the pinstripe tops and ’90s-inspired ensembles, the resemblance is undeniable. And it’s not just a few photos — the collaboration is part of a full 32‑piece collection for both men and women, featuring denim jackets, high‑rise jeans, hats, handbags, and more, all influenced by Smith’s original shoot.
The collection even includes teal shades inspired by the ocean from the 1992 spread, along with Smith’s signature emblazoned on every piece. Guess Director of Brand Partnerships Nicolai Marciano summed it up perfectly: “Anna Nicole Smith is essential to ’90s fashion. Anna’s legendary beach shoot was revived for this collection and the campaign with Sydney Sweeney is the perfect timeless moment to continue to celebrate one of the most iconic GUESS Girls with a new generation.”
The line drops on October 7, with prices ranging from $12 to $248. It also includes tops and tees printed with never‑before‑seen images from Smith’s 1993 calendar — a deep cut for true fans.
Sweeney teased the campaign on Instagram with a simple series of photos and a question‑mark emoji. But fans didn’t need any explanation. The comments flooded in instantly:
“ANNA NICOLE OMG I CANT.”
“I thought it was Marilyn Monroe for a sec.”
“IT GIRL.”
Others even compared her to Madonna. But one thing’s for sure: Sweeney isn’t just cosplaying a legend — she’s carrying a torch for a woman whose impact on fashion and pop culture is still being felt decades later.
And from the looks of it? She’s having the time of her life doing it. “Can you tell how happy I was shooting?” she wrote on an Instagram Story of herself dancing on set.
