Hire a professional Photoshop artist to manually create the "correct" images and then put the before and after photos into the training data. Or however they've been training these models thus far, i don't know.
And if that still doesn't get you there, hash the image inputs to detect if its one of these test photos and then run your special test-passer algo.
I'm sure there's a way for them to give enough weight if they really cared enough. I don't think they should or would, but they could stuff the training data with thousands of slight variations if they wanted to or manually give them more importance. This might adversely affect everything else, but that's another story.
And if that still doesn't get you there, hash the image inputs to detect if its one of these test photos and then run your special test-passer algo.