Preloom is built for the textile industry, where seeing a fabric as a finished garment normally means stitching a sample and booking a photoshoot. That is slow and expensive, and it makes it hard to explore many designs. Preloom set out to make that preview instant.
Preloom: AI garment previews for the textile industry
Upload a fabric photo, describe a style, and get photoreal garment previews in seconds, with no stitching or photoshoot required.
Challenge
Textile brands spend time and money stitching samples and running photoshoots just to see how a fabric will look as a finished garment. Preloom wanted to skip all of that and let brands preview designs instantly.
Solution
Sprout built an AI visualization tool in React, Python, and Next.js where a user uploads a fabric photo, describes a style, and gets photoreal garment previews, including full AI model lookbooks.
Result
Brands can now go from a fabric photo to a finished garment preview in seconds, including support for South Asian traditional wear, with no physical sample or photoshoot.
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Background
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What we built
Sprout built the product in React, Python, and Next.js. A user uploads a photo of a fabric, describes the style they want, and the tool generates photoreal garment previews. It supports South Asian traditional wear and can produce full AI model lookbooks without a single photoshoot.
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Outcome
Preloom turns a fabric photo into a finished garment preview in seconds. Brands can explore far more designs than they could when every preview meant a physical sample, and they save the cost of photoshoots along the way. Preloom is live, and you can try it at preloom.org.
The garment preview tool Sprout built feels like magic to our customers. Upload a fabric, describe a style, and you get a photoreal result in seconds. It saved us the cost of endless photoshoots.
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