Copy, Paste, Sync Adjustments - White Balance Issues with Luminar AI Templates

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There appears to be a major issue with Luminar AI (v1.0.1) possibly limited to Windows 10 only as Mac OS doesn't appear to behave in the same way.

But the way Luminar AI is set up you can't just select multiple images and then hit apply template. What you actually need to do is apply your edit/template to 1 image first, then click the 'copy adjustments' button whilst that photo is selected, then paste that on to the images you want the template to be applied to. So ok, that seems an odd way to do it but I can work with that. BUT, the issue is it's copying the colour temperature and tint values with this copy and paste function and so completely changing the white balance of all the photos you apply it to.

So unless every single one of your photos in that selection was taken under identical lighting conditions then I don't see how you can mass apply templates or edits using this Luminar AI.

I have tried using the 'Syncing' function rather than copy and paste but the same issue persists. I have tried manually setting the white balance to 'As Shot' before copying or syncing but it just ignores this and still copies whatever colour temp and tint values that original photo had and applies them to every photo in the collection.

To be clear, all I want to do is apply a template to a load of images. It really shouldn't be this complex.

So it seems you can't apply a template in any other way other than individually or you will copy over the white balance from the initial image you 'copied adjustments' from. This makes Luminar AI utterly unusable for a large selection of images as some could be shot in doors at 2000k and then some could be a outside under a clear blue sky at 10,000k. Luminar AI would copy the indoor 2000k and apply it to the outdoor scene making the photo look horrendous.

Applying your trademark 'look' across your whole shoot as a starting point is essential in this game, I can't believe Skylum made the choice to design Luminar AI this way.
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