![]() ![]() GPT-3 is now used by dozens of companies and organizations including Copysmith and MessageBird. GPT-3, the company’s deep learning language model, was released as an API in 2020 and was quickly adopted by third parties. The API is not currently available to the public and doesn’t have a release date. “We think it’s going to help people come up with way crazier and different concepts.” Ease of use could drive DALL-E’s surgeĬALA’s tool is the first live, public implementation of OpenAI’s DALL-E API by a third party. “We want to let people take an idea and just follow the rabbit trail, through variation after variation after variation,” says Wyatt. However, Wyatt hopes AI will significantly reduce the barrier to entry for new designers and give veteran designers a way to overcome creative roadblocks. Designers still need to bring their own skills and learn how to use CALA’s platform. CALAĬALA’s implementation shouldn’t be misunderstood as a one-click design tool. CALA presents six results at a time, any of which can then be inserted into the design platform for further iteration.ĬALA's generative AI tool offered ideas for an ugly halloween sweater. The entire process, including the time spent waiting for results to appear, took less than a minute. Fashion design is, admittedly, well out of my comfort zone, but I found the tool approachable. I saw the results of this tactic in my own, messy effort to make a Halloween sweater. “We want to prevent the situation where someone comes in, they type in ‘brown shirt,’ and they’re, like, this sucks.” Our goal here is to get people to a meaningful result as quickly as possible.” This, Wyatt hopes, will nudge designers away from dead-end or unappealing results. “What we’re kind of doing here, is we built a UI on top of the prompt engineering. Wyatt believes this alternative user interface will help designers zone in on important features and avoid duds. “We want to prevent the situation where someone comes in, they type in ‘brown shirt,’ and they’re, like, this sucks.” -Andrew Wyatt, CALA The first describes the design based on adjectives and materials, while the other describes desired trims and features such as cuffs or zippers. Designers then use generative AI to modify the style through two textual prompts. Instead of entering a text prompt in a single, long string of text, designers are guided to first select a base style, such as a sweater, blouse, or tote, from a list of 25 options. It’s broadly similar to AI art generators such as DALL-E 2 and Stable Diffusion but customized to fit CALA’s platform. Anyone can sign up and try the platform for free-so I did. The service is available through both its website and a mobile app. ![]() “It’s a continuance of us democratizing access in an industry that’s historically been very insular.” DALL-E for e-fashion?įounded in 2016, CALA is a fashion platform built for designers looking for an accessible way to turn ideas into tangible products. “The use case is enabling anyone to get their idea across without a full sketch or 3D renders, by having DALL-E generate ideas via text inputs,” says Andrew Wyatt, cofounder and CEO at CALA. ![]() Its new generative AI tool is live and free to try. CALA, an “operating system for fashion” that helps designers sketch, prototype, and produce new products, is the first service to implement OpenAI’s DALL-E API. Could AI inspire your next ugly holiday sweater?Īs odd as it may sound, recent advancements in machine learning have made it possible. ![]()
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