AI product image variations

You give it one clear photo of the product and it uses that image as a reference, generating new shots that keep the same item rather than inventing a lookalike. This is reference-driven generation, so the shape, colour, label, and proportions carry from your photo into every new frame. You describe the angle or setting you want and the product stays consistent.

That is the point of working from a reference. The model holds the product identity, the same bottle, the same packaging, the same logo placement, while changing the angle, background, or lighting around it. A set that all shows the true product is what makes it usable for a listing, unlike random generations that drift into a different item.

Different angles, a front and three-quarter and top-down view, a change of background from white to a scene, a switch of lighting, or a lifestyle shot with the product in use. You ask for the variation you need and the reference keeps the product itself fixed while everything around it changes.

One good photo is enough to seed a set. A clean, well-lit shot that shows the product clearly gives the model the most to hold onto, so labels and edges carry more faithfully. If a detail drifts on a given shot, rerun that one, which costs nothing.

On a hard angle or a busy scene a fine detail can shift, which is why you generate a set and keep the frames that hold. A crisp reference photo reduces drift, and rerunning or switching models lets you compare which keeps the label and shape truest before you commit a shot to a listing.

Yes. It runs on Morphic in the browser, so there is nothing to install. Upload one product photo, describe the shots you want, and export the set from the same canvas.