EthnicIndi — AI Listing Images

EthnicIndi is an ethnic-wear label. Like most catalogue brands, it already had every garment photographed the way a product page needs: even light, plain seamless, a standing pose, nothing competing with the cloth. Those images do their job and they sell nothing. They tell a shopper what the garment is, not why they want it. The brief was to turn that existing catalogue into listing images that could carry a campaign — without a reshoot, without a model call, and without the garment changing. My Role: I directed and produced the whole set — seven garments, each rebuilt from the brand's own flat catalogue photograph. An indo-western gown with a patchwork shrug, a silk-blend thread-work lehenga, a mirror-work jumpsuit, a peplum top with palazzo, an embroidered palazzo set, a pearl-beaded ghaghara choli, and a floor-length gown with a heavy border. Different colourways, different silhouettes, one lighting language across all seven so the set reads as a campaign rather than seven separate experiments. The constraint that mattered: the garment is not a suggestion. On a listing image the thing in the picture has to be the thing that arrives — the same embroidery, the same mirror placement, the same border, the same colour. Anything that drifts there is not a styling choice, it is a return. So the work was mostly discipline: hold the garment exactly, change only the light, the setting and the pose around it. Every frame is generated. That is stated plainly on the project page rather than left for someone to work out, because a brand buying listing images needs to know which ones came out of a camera.