Weird conversions after NLP 2.2 upgrade

Your installation seems to be okay. One thing to remember is to UN-CONVERT when you relaunch NLP on an image that it has already processed. But we don’t have this issue here and now.

As for your images, I notice that Lightroom shows me histograms that look underexposed by 2-3 stops, while RawDigger shows histograms with a cut-off red channel, but without signaling over-exposure. Strange, I’ve never seen this with my camera-scanned negatives…

Manual conversion:
Look at the histogram the NLP produces: R, G and B tone curves are inverted and shifted around (this is a blunt description of what goes on behind the scenes). I did just that… (roughly)