This is how I get consistency with NLP, and I believe it is the fastest method
I think the key to NLP is buffer, and only pick one representative frame or frames of like lighting and group them.. I don't crop at all. I open only one representative image in NLP. I put buffer at 5-8% to have NLP sample only the main central image (you won't lose any of the image - it is just for sampling). I also do not have it create a positive image - just untick that box. When you have what you want - go back to the first tab in NLP and hit enter. A positive thumbnail will be in Lr with an adjustment flag in the lower right corner. Right click that flag and pick "Develop Settings" > "Copy Settings". A big dialog will appear - choose "Check All" > "Copy". Now select all the similar thumbnails from those that you grouped (including the one you adjusted) - right click that flagged image again on it's flag and choose "Develop Settings" > "Paste Settings". At this point you haven't actually opened a single image file, but do wait (it takes a bit) for the thumbnails to all update to positive versions before continuing. (I usually scroll back and forth across the bottom to make sure it has finished) Now, if you want, you can further adjust using the Camera Raw module in Lr, or just export positive copies in any image format you want. The export module has lots of options - I particular like the renaming option. Photoshop sometimes complains, but I sometimes just open the adjusted DNG image in Photoshop. If it balks - do it again.
May 16, 2026 at 03:24 PM
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