LONDON PACIFIC FASHION COLLECTIVE 2016
Designer: Rusiate Lalini

LONDON PACIFIC FASHION COLLECTIVE 2016

London Pacific Fashion Ltd hosted its second collective Fashion season representing some of the South Pacific Top & Emerging Fashion Designers in London during London Fashion Week. The solo Fashion Show was on the 18th September at 3pm at the Grand Connaught Rooms, Rooftop, 61-65 Great Queen Street, London, WC2B 5DA.

Our Featured designer is from New Zealand. Jeanine Clarkin (New Zealand Maori) Fashion Designer will be making a comeback into London this season with her new autumn collection.

LONDON PACIFIC FASHION COLLECTIVE 2016
Designer: Jeanine Clarkin

Other Fashion Designers also include ‘Missing Polynesia’ from Hawaii

LONDON PACIFIC FASHION COLLECTIVE 2016
Designer: Missing Polynesia

ULM Collective from Tonga/New York

LONDON PACIFIC FASHION COLLECTIVE 2016
Designer: ULM Collective

and introducing our Emerging Fashion Designer from Fiji ‘Rusiate Lalini’ collective. There will be new addition to the collective with the introduction of Body Art designs ‘Living in the Pacific’ by our very own UK Body art Artist ‘Liz Bylett.

 

LONDON PACIFIC FASHION COLLECTIVE 2016
Designer: Rusiate Lalini

 

LONDON PACIFIC FASHION COLLECTIVE 2016
Designer: Rusiate Lalini

‘Setting a Pacific platform in London during London Fashion Week is my key objective’ says the Creative Director of London Pacific Fashion Collective ‘Ana Lavekau’.

LPFC will also be supporting a charity fashion show with Cancel Cancer Africa on the 17th Sept in London. I am keen in giving back to our local community in the UK and also internationally with other Pacific Islands. Next year I will be fully committed towards supporting ‘Climate Change’ in the Pacific says Ana.

If you would like more information about LPFC, please contact Ana Lavekau on email: londonpacificfashion@gmail.com

or FB page: LondonPacificFashionLtd

Photography by Tim Copsey

LEAVE A REPLY

Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.