I’ve been playing around with different AI editors lately, and one thing I still can’t figure out is how consistent these “clothes remover” tools are across various types of photos. Some images seem to process cleanly, others get weird shading or blur in random places. I’m curious if anyone here has actually tested the tool on a mix of casual portraits, vacation pictures, older phone shots, etc. Does the accuracy depend more on lighting, angle, or the model in the picture?
From what I’ve seen, the quality really varies depending on the original photo, and sometimes in ways you don’t expect. I uploaded a few pictures from an older Samsung phone just to experiment, and the AI handled them surprisingly well, while a newer high-res portrait ended up with these strange color patches. It seems like the algorithm tries to “guess” the missing areas based on whatever is most visible, so if shadows or hair strands cross the body, the results get messy fast. One thing that helped me was using even-lit pictures where the outline is clearly visible. If you want to compare, I’d suggest trying the same set of photos on AI Clothes Remover because it reacts differently depending on the structure and texture in the image. I tested daytime selfies, gym pictures, even a beach shot with the sun at a bad angle, and the accuracy varied a lot — sometimes impressively good, sometimes off by details like edges or skin tone transitions.
Interesting to read your experiences. I’ve noticed something similar: images with clean contrast and fewer overlapping objects tend to come out better, while anything with complicated lighting throws the AI off. Not a dealbreaker, but definitely something to keep in mind when experimenting.
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