The model is trained on high resolution x-ray images of humans, dogs, other animals, insects, fish, flowers and electronic parts like laptops or mobile phones. Opening a variety of prompts. Mildly important is the fact that the training data was originally in the 6-18K resolution range. I downscaled it using Lanzos in 3-4K and applied minor post sharpening because of the nature of down scaling while keeping the sampling progressive.I trained various versions using the same data set, but the prodigy optimizer worked the best for this particular style/topic.I had some test renders where a colored photo look bleeds through, but generally what was surprising is how well it often retains a distinct 2D look of an x-ray image considering how much Flux loves DOF.

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