AI Meets Fashion: How We Created a Production-Ready Fashion Video Without a Shoot - Bennett University

AI Meets Fashion: How We Created a Production-Ready Fashion Video Without a Shoot - Bennett University

As technology continues to reshape the landscape of creative industries, the fusion of fashion design and artificial intelligence is unlocking exciting new possibilities. At the School of Design, we recently embarked on a groundbreaking experiment that explored how AI can transform traditional garment design into dynamic, campaign-ready fashion content—without any physical shooting.

This case study revolves around a garment designed by Prateek Dev Vimal, a faculty member renowned for his innovative silhouettes and compelling design narratives. The objective was simple yet bold: Could we create a high-quality fashion video from static images using AI? The answer, as it turns out, is yes.

Reimagining Fashion Video Production

Traditionally, producing a fashion video involves complex setups—models, cameras, lighting, locations, and long editing hours. However, we sought to explore a more agile, cost-effective, and flexible approach that could still deliver high-quality results. The challenge was to use AI tools and existing photographs to produce a visually engaging fashion video.

To achieve this, we turned to a curated set of AI platforms, each chosen for its role in enhancing the different stages of the production pipeline:

• AI Motion Simulation: Platforms like RunwayML and Pika Labs were utilized to animate still images, adding movement, fabric flow, and environmental interaction.

• Backdrop Creation: MidJourney helped craft minimalistic yet editorial backgrounds, aligning with the garment’s design narrative while merging abstract fashion environments with contemporary aesthetics.

• Scene Integration: CapCut AI stitched together all elements—movement, backdrop, and transitions—into a cohesive video suitable for digital campaigns and presentations.

The Outcome

In less than 24 hours, we produced a polished, professional-grade fashion video entirely through AI. This not only proved that AI can replace the traditional limitations of access to studios, models, and equipment but also demonstrated how it can streamline the creative process, offering faster and more flexible workflows.

Why This Matters

This experiment highlights the empowering potential of AI in fashion design. Rather than replacing designers, AI is enabling them to prototype more quickly, visualize designs more effectively, and communicate ideas with greater clarity. For design educators, this serves as a reminder of our responsibility to equip students with not just the tools of the craft but also the technologies of the future.

This experiment was a small but significant step towards hybrid workflows, where digital tools complement human creativity. It aligns with the vision of our B.Des program, which aims to provide students with a comprehensive, forward-thinking education—one that merges solid design principles with cutting-edge digital innovation.

The Future of Design Education

We plan to integrate AI tools into future classroom modules, providing students with hands-on experience in AI-based workflows. From storytelling and lookbook creation to motion design and fashion films, this approach will soon become a cornerstone of our digital fashion curriculum.

At the School of Design, we remain committed to exploring these intersections of technology and creativity to ensure that our B.Des program stays industry-relevant, forward-looking, and creatively empowering for the next generation of designers.