Levi Strauss & Co, the iconic denim company, has partnered with AI studio Lalaland.ai to create AI-generated fashion models. The hyper-realistic models reflect varying body types, ages, and skin tones. Levi’s plans to use these models to supplement human models and increase the number and diversity of models in a sustainable way.
Testing AI-Generated Fashion Models
Levi’s has been experimenting with AI technology to find new ways to enhance the consumer experience. Although AI will likely never fully replace human models, the use of AI-generated models is an exciting step towards sustainable fashion practices. Lalaland.ai has worked with other brands such as Calvin Klein and Tommy Hilfiger, which proves that the technology has been successful in the industry. Levi’s is committed to diversity and inclusivity and plans to use these AI-generated models alongside real models, makeup artists, and photography staff. The AI-generated models will be more sustainable and reflect the broad consumer base of the brand.
Moving Towards Sustainable Fashion Practices
Levi’s is focused on reducing costs, and AI-generated models are one way to do that. Last year, the company laid off 700 employees, or 15 percent of its workforce, amidst restructuring. The cuts allowed the company to save $100 million a year. By using AI-generated models, the company can reduce costs associated with paying real models, makeup artists, and photography staff.
Levi’s is committed to promoting diversity and inclusivity in its advertising campaigns. The company is working with content creators who are reflective of their broad consumer base.
Levi’s partnership with Lalaland.ai to create AI-generated fashion models is an exciting development for the fashion industry. The use of AI-generated models is a sustainable way to increase the number and diversity of models while reducing costs. By supplementing human models with AI-generated models, Levi’s can offer consumers a unique experience and promote diversity and inclusivity in their advertising campaigns.
