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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.
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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.
Jinko Generator was featured in Fashion (14.7k followers), Artificial Intelligence (483.3k followers) and E-Commerce (42.1k followers) on Product Hunt. Together, these topics include over 164.5k products, making this a competitive space to launch in.
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.
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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.