Generative A.I. For Rapid Prototyping & Idiation in the Fashion Industry – A Case Study
Note: All images shown in this article are A.I. Generated. There were no human models involved
Recent advances in the world of Generative A.I. have allowed for both sketches and photo realistic images to be generated using natural language prompts with a high degree of accuracy. This has opened up new possibilities in fields such as film, video games, and advertising. In this document, we’re exploring a possible implementation for this technology in the fashion industry for rapid prototyping and design iteration.
An example of photo-realistic generations from generative A.I.
Prototyping
An obvious implementation of generative technology is in the rapid prototyping stage where you may be exploring different ideas and design options for a new product.
An example of prototype to Model stage
With the help of A.I. image generation technology, you can quickly create realistic product images without the need for expensive and time-consuming trial runs, sketches and photo-shoots. This allows you to iterate on designs more quickly and efficiently, ultimately leading to a better end product.
Through clever prompt engineering it is possible to generate both sketches (similar to how you would on paper) and a realistic rendition of your idea within minutes.
Additional variables, such as lighting, positioning of the model, posture, skin tone and ethnicity can also be controlled to allow your creativity to flow freely!
Sketch to Life
Because of the way generative models work, it is possible to provide the model with a “seed” image which it uses as a reference point when generating the image. In practice, this allows you to quickly convert sketches and line drawings into photo realistic depictions.
This “Sketch to Life” implementation of generative A.I. technology allows for the creation of stunning and highly realistic images with minimal effort and time. It has already begun to revolutionize the way artists and designers approach their work, providing them with an innovative tool that helps them bring their ideas to life more efficiently than ever before.
Design Iteration
Another implementation of the “Seed” image capability of generative models is to use an existing design as a reference image and then allow the model to iterate the design and change things based on a provided natural language prompt.
While providing a seed image, it is possible to set a seed “strength” which allows you to control how closely the model tries to follow the reference seed image when creating new iterations. A higher seed strength means the model tries to follow the reference image more closely, while a lower seed strength allows it to get more creative with the output. The image below shows a seed and generated image with the given prompt and a seed strength of 10%
Conclusion
There are a great number of uses in the fashion industry for emerging technology like LLMs and Generative Models. These cutting-edge tools have the potential to revolutionize various aspects of the fashion world, from design and trend analysis to marketing and customer engagement. LLMs assist in generating compelling and informative content for fashion blogs, social media posts, and product descriptions, enabling brands to connect with their audience more effectively. Additionally, Generative Models have the potential to empowered designers to create unique, avant-garde designs and patterns, pushing the boundaries of creativity and opening up new avenues for artistic expression. As technology continues to advance, the fashion industry stands to benefit even further from the limitless possibilities these innovations offer, reshaping the way fashion is created, promoted, and experienced.
Syncropix is bringing state of the art technology related to Marketing, Management and Automation to the Pakistani market. We specialize in business process automation, management solutions and Artificial Intelligence solutions for small and large businesses alike.