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I Built a Virtual Try-On API for Indian E-commerce Sellers (10x Cheaper Than FASHN.ai)
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I Built a Virtual Try-On API for Indian E-commerce Sellers (10x Cheaper Than FASHN.ai)

via Dev.to PythonOm Prakash12h ago

The Problem That's Costing Indian Sellers Millions I run a small GPU cluster in Pune. A few months ago, a friend who sells kurtas on Meesho told me something that stuck with me: "Bhai, every product photo costs me ₹500–₹2000 for a model shoot. I have 300 SKUs. Do the math." That's ₹1,50,000 minimum — just for photos. And if he wants to show the same kurta in 5 colors? Multiply that by 5. This is the reality for millions of small sellers on Meesho, Myntra, Flipkart, and Amazon India. Professional model shoots are expensive, slow, and completely out of reach for small catalog businesses. Virtual try-on technology exists — but the APIs offering it are priced for US/EU markets. FASHN.ai charges $0.075 per image. For an Indian seller doing 10,000 images/month, that's $750 (₹62,500) — per month. So I built PixelAPI : a virtual try-on API priced at ₹3 per image ($0.035). Here's exactly how. The Tech: OOTDiffusion on RTX 4060 Ti I chose OOTDiffusion (Apache 2.0 — commercial use OK) as the back

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