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Jinko Generator
On-model fashion photos from a flat lay. 4K, same model.
Upload a flat lay or mannequin shot, pick or build a model, lock the face, and generate the full view set in 4K. Built for fashion e-commerce teams that need 50 to 5,000 SKUs shot consistently; the batch line behind it runs 1,000 to 1,500 SKUs a week with a preflight report before any spend and human QC on every frame.
Hi Product Hunt, Vipan here, founder of jinkō-mage. We spent 2024 on a retouching floor turning flat lays and mannequin shots into product pages for fashion e-commerce, and the on-model shoot was always the bottleneck: casting, studio days, a re-shoot for one missing view. Jinko Generator is the self-serve version of the production line we now run for studios and brands: upload a flat lay or mannequin shot, pick or build a model, lock the face, and get the full view set in 4K. Two things we learned building the batch line and kept in the product: the engine is allowed to say no (if an input is ambiguous it holds the SKU instead of guessing a face), and colour is measured against your own reference, not eyeballed. The batch line runs 1,000 to 1,500 SKUs a week with a person checking every frame; the self-serve tool starts at $0.79 an image. Ask me anything about how it works, what it refuses to do, and where it still falls short.
About Jinko Generator on Product Hunt
“On-model fashion photos from a flat lay. 4K, same model.”
Jinko Generator was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #109 on the daily leaderboard. Upload a flat lay or mannequin shot, pick or build a model, lock the face, and generate the full view set in 4K. Built for fashion e-commerce teams that need 50 to 5,000 SKUs shot consistently; the batch line behind it runs 1,000 to 1,500 SKUs a week with a preflight report before any spend and human QC on every frame.
On the analytics side, Jinko Generator competes within Fashion, Artificial Intelligence and E-Commerce — topics that collectively have 540k followers on Product Hunt. The dashboard above tracks how Jinko Generator performed against the three products that launched closest to it on the same day.
Who hunted Jinko Generator?
Jinko Generator was hunted by Vipan Raj Singh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Jinko Generator including community comment highlights and product details, visit the product overview.
Vipan Raj Singh
Hi Product Hunt, Vipan here, founder of jinkō-mage. We spent 2024 on a retouching floor turning flat lays and mannequin shots into product pages for fashion e-commerce, and the on-model shoot was always the bottleneck: casting, studio days, a re-shoot for one missing view. Jinko Generator is the self-serve version of the production line we now run for studios and brands: upload a flat lay or mannequin shot, pick or build a model, lock the face, and get the full view set in 4K. Two things we learned building the batch line and kept in the product: the engine is allowed to say no (if an input is ambiguous it holds the SKU instead of guessing a face), and colour is measured against your own reference, not eyeballed. The batch line runs 1,000 to 1,500 SKUs a week with a person checking every frame; the self-serve tool starts at $0.79 an image. Ask me anything about how it works, what it refuses to do, and where it still falls short.