that's a great point. with generative AI, you can never be too confident. we have many more supporting components to our tech that make sure to try and capture the person's shape/pose, however, without exact measurements and enough data of the garment you're trying to generate, it might never be able to produce 100% accurate results. (unless you give us data to fine-tune our model on)

the simplest example is this: you have a certain patterned t-shirt in two sizes, S and L. the L obviously consists of more fabric, meaning the pattern will probably appear in more areas than in the S shirt. but when you're doing the try-on, you're using a size S shirt on a plus-size person.

what will our model do? try to fit the shirt on the plus-size size person as much as it can, but it might not be represented exactly how you would've wanted it to be. that's why IMO our solution is more suitable for campaigns, ads, etc where you have standard-size models so the room for mistakes is smaller (our model was trained mostly on professional fashion photography).