Can AI Art Be Useful Technology for Fashion?
What does “a pink guinea pig picking a gala outfit from a wardrobe full of sharks” look like according to an AI? Lately, a number of AI art generators have challenged people online to come up with the most unexpected descriptions to through artificial intelligence generate fictional, sometimes highly grotesque imagery. But how does the technology work? And what might it be used for in the future?
There are several different ways to use AI to generate images. One method involves using deep learning algorithms to train computers to recognize patterns in data. Once trained, the algorithm can then produce similar results when presented with new data. Another approach uses generative adversarial networks (GANs), which involve two separate models competing against each other. A third technique uses reinforcement learning, where the system learns by trial and error.
Two applications that have recently received attention in the media are DALL-E and Midjourney. DALL-E developed by OpenAI uses a deep learning model and a version of GTP-3 modified to generate images. Midjourney is developed by a smaller research team, and in a similar way utilizes neural networks for image generation. Both applications are in open beta for private users. If you want to try out DALL-E you can sign up for access on this link.
Midjourney5 using prompt: “Techwear backpack made of plastic and precious metals”
How can this be relevant technology for the fashion industry?
Image content and prototyping
Data-driven image generation technology has the potential to revolutionize the fashion industry in numerous ways. With advancements in AI, stock photo services may soon be replaced by more refined and precise automated applications. AI generators can create realistic-looking images by analyzing large sets of data, while also expanding human imagination beyond its inherent limitations and biases.
For instance, product designers can use AI image generators to produce numerous iterations of a prototype in mere minutes or seconds. In this article, we showcase an example of an AI model trained on image data of shoes, which can generate entirely new and previously unseen designs.
As this technology continues to evolve, the possibilities for its application in fashion are virtually limitless. From creating unique product designs to revolutionizing the way we shop for clothes, generative AI has the potential to transform the industry as we know it.
Trend analysis and forecasting
Leveraging large amounts of data can be challenging for the human eye to quickly analyze. However, this data can be utilized for trend analysis and forecasting, where traditional numbers and statistics may not provide an adequate overview. In the future, AI-generated imagery may partially replace or complement traditional photo and image production, working alongside other technologies and manual labor.
Digital art and character design
The film, games, and digital entertainment industries can also benefit from similar applications in creating characters or environments. With the current state of open betas, the output can already be used as concept art and inspirational input. In the future, it’s easy to imagine AI operating within a more strict and refined framework, creating production-ready assets.
The ability to quickly iterate and modify images through manual feedback also surpasses what humans can achieve in the same timeframe. This approach enables the creation of unique and complex designs that would otherwise be impossible to produce. As the technology continues to advance, the potential for AI-generated assets to transform the entertainment industry is vast.
Stable Diffusion using text prompt: “A pink guinea pig picking a gala outfit from a wardrobe full of sharks”
