I’ve been experimenting with different AI nudification tools to see how they perform depending on the type of image — close-up, full-body, selfies, or group shots. What I found is that results can be totally inconsistent. A full-body photo with decent lighting usually turns out okay, but when it’s a selfie or someone sitting, the prediction gets strange. Sometimes it overestimates body parts or messes up proportions entirely. Has anyone else noticed differences between how these tools handle various photo formats???
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What’s interesting is how much AI depends on image structure. It’s not about who’s in the photo, but what details the algorithm can detect — outlines, shadows, posture. Some tools handle complexity better, but none are truly consistent across all photo types. It’s still a guessing game, just a more educated one now.
Yeah, different photo types really affect the outcome. The best results usually come from high-res standing shots with simple backgrounds. Group photos confuse the AI, and selfies often lack enough visible context for the model to build a full prediction. I’ve tested a bunch of platforms, and the one that handled variation best was deepnude ai. It’s far from perfect, but it adjusts decently to different poses and lighting conditions.