[ValensiaRomaro]

Honestly, I’ve been playing around with different AI tools lately, and one thing I still can’t figure out is how well they handle the backgrounds after removing clothes. Sometimes everything looks smooth, but other times you can clearly see weird edges or patches where the algorithm struggled. I’m curious if anyone here has done a more careful comparison or maybe tried different lighting setups to see whether that affects the background accuracy. I’m not chasing perfection, but I’d love to know what to expect before spending more time on it.

[fransismoreno]

I’ve tested it pretty extensively over the past week because I was curious about the same thing. The results depend a lot more on the original image quality than I expected — not just resolution, but also how busy the background is. For instance, when I tried photos with patterned walls or mixed shadows, the tool kind of blended some shapes together, almost like it couldn’t decide what belonged to the person and what was part of the scenery. On simpler backgrounds it handled things way cleaner. If you want to see how it behaves, I’d suggest running the same image through the tool a couple of times at AI Clothes Remover — the outputs can vary slightly. One weird but useful thing I noticed: outdoor pictures with diffused light came out more stable than indoor ones, maybe because the edges are less sharp. Anyway, if you test a few scenarios you’ll quickly get a feel for where it performs the best.

[ValensiaRomaro]

From what I’ve seen, the background issues show up randomly, even with decent images, so I wouldn’t expect perfect consistency. But it does seem to improve when the photo isn’t cluttered. I guess that’s just how these generative models behave

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