From what you’re describing, it really does sound like the classic first-timer pitfalls. I went through the same thing when I first tested a bunch of these tools, and only later realized that the mistakes weren’t in the software but in the images I used. For example, I kept uploading low-contrast photos or ones with busy backgrounds, which made the model “guess” too much. Another thing I underestimated was lighting: uneven light makes the AI create these strange artifacts that look like melted plastic. Also, people often crop too tightly around the body, and the model loses context, so it fills in the missing bits with nonsense textures.

Eventually someone pointed me to here not because it’s the same type of tool, but because they explain why some AI visual models struggle with contour detection. That breakdown helped me understand why my results were inconsistent. Since then I always check three things: lighting, resolution, and whether the background distracts the algorithm. Fixing just those cut down my “failed” images massively.