Generative AI has been a great learning tool for anyone who likes to develop their skills in different fields and fashion AI is one of them. The next generation is growing together with AI tools, discovering agile ways to use these magnificent tools and new ways to develop their designs. As AI tools are shifting towards a mainstream outlook and part of our day-to-day routines, fashion AI also embeds itself in clothing design.
By integrating cutting-edge technology into the learning process, fashion students can develop skills that meet the demands of a fast-paced and ever-evolving industry. Fashion AI could be a great opportunity for design students to explore the design world. Here are 3 ways fashion AI tools help fashion students.
Fashion AI for Fostering Inspiration
Although opinions in the sector are divided, many people think AI in fashion design might boost productivity and creativity. One of the best attributes of fashion AI is that it can be used as a tool of inspiration, creating an unparalleled way to explore new ideas. Using fashion AI, fashion students can experiment with different prompts and keywords that will help them try new patterns and color palettes that will help them understand their aesthetic.
Many in the creative industries concur, according to an Engine Creative study on AI, that AI technologies can serve as a source of inspiration, streamline some parts of the creative process, and serve as a springboard for ideas. Whether creating mood boards or working with avant-garde concepts, fashion AI could be a playground for emerging ideas. As generative AI keeps getting in a position to be irreplaceable some institutions have already embedded AI and data education in their courses.
In 2020, the London College of Fashion (LCF) Fashion Innovation Agency offered 20 volunteer fashion students an 8-week AI course that taught them how to create Python programs to collect fashion data. After that, innovative fashion experiences and solutions would be created using this data. Python programming, command line tools, writing a Python script to collect fashion data; training a model to classify clothing; training a model to predict fashion trends from social media; and training a Generative Adversarial Network to create designs” were among the topics covered in the syllabus.
According to Jane Mills, Deputy Head of Subject, Fashion at the Faculty of Arts, Science & Technology University of Northampton, GenAI is not only revolutionizing the fashion industry but also education by redefining pedagogies with relevant skills. She emphasizes how important it is to keep up with new and fast technological advancements. As AI literacy and prompting skills increase in university students, using fashion AI tools efficiently to pull inspiration increases.
Using Fashion AI to Draft Designs
Fashion design requires many skills at the same time. It demands creativity as much as artistry and technical skills. These skills should already be armored by a fashion design student, but fashion AI simplifies and takes the tension out by disentangling the drafting process. Students can use AI-powered tools to create digital prototypes, test different silhouettes or experiment with fabrics without spending high budgets on physical resources.
Fashion AI tools are capable of generating 3D garment renderings, which helps students get a greater grasp of what a design would look like in real life. Seeing designs from every angle, this feature is important when learning how to construct a garment from scratch and how it would look in different measurements. Accordingly, students can simulate how the fabric drapes on bodies, which helps them to understand fabric behavior by using fashion AI.
Fashion AI Can Help Catch up With Deadlines
In education, one of the most important life lessons students face is keeping up with the deadlines. In a fast-paced world of fashion, meeting deadlines is as crucial as it is to do in education. Academic journeys create great opportunities to test these skills and help to learn time management. With fashion AI, students can focus more on the intricate aspects of their designs, prioritizing efficiency and creativity, while making sure the deadlines are met.
For example, by identifying fabric alternatives, analyzing trends, and even forecasting which would be successful in particular markets, fashion AI techniques help expedite the research process. Additionally, fashion AI can help with time-consuming operations like pattern grading and size variant creation. AI in fashion design takes care of these technical facets, allowing students to concentrate on honing their artistic vision.