![]() ![]() You can have your eyes closed and pretend there is not an issue with the software - as you say, I do not care. The lesson gives you downloadable files that uses the exact same picture as in the lesson - therefore, the result should be repeatable. I do not care what other people say, maybe with a few exceptions. This suggests that there is an issue somewhere. Only!Ī check of ON1 forum shows that others are having problems with masking tool whilst others are not. The same result you can expect if you edit the same photo. The problem is that I cannot repeat the results. If you follow lesson as shown then the results should be repeatable. Repeat it 2 times more and be just a little bit creative, use darker/brighter or any other options during adjustments, do not expect the same results like lesson shows, have a patience and do not expect fast and easy results. Not sure if somebody without Nvidia card can use files provided in lesson and match the mask shown in the video. The transferred settings will also remain non-destructive and be re- editable inside ON1 Photo RAW, so customers do not lose years of work they have in Lightroom. Possibly it is linked to graphic card issue that is causing issue with tack sharp but it is odd. ON1 Photo RAW 2019.2 is the only solution to utilize AI-powered algorithms to transfer and display Lightroom edited photos in ON1 Photo RAW 2019.2. This is the most significant upgrade to ON1 Photo RAW ever For price, full features and demos check out this page (with the image they show being from the Dolomits in Italy, South Tyrol which is my home). In fact, amongst the Top 10 ideas for the Photo RAW Project, the Fuji X-Trans Support was the 2nd most requested option. The new ON1 Photo RAW 2023 will be officially released on October 10th. It is a lot less accurate and more blocky. With this move, ON1 responds to the huge feedback they got from customers asking to include the Fuji X Trans support to their new Photo RAW Project. The mask I get is not like what is achieved in the video. ![]() I have just done the following course to see if I can match the mask in the video:
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