If, like me, you appreciate Apple Photos as a way of managing your photo library, and making it available across devices, but still want more powerful photo editing, then Pixelmator Pro used as an extension is a great addition to this app. And when in the Add Effects tool, clicking Add displays ten menus with dozens of options (including vignette, which is one I use often, though subtly). By default, only a few adjustments are displayed, but if you click Add at the top right, you discover a menu with more than 15 tools. In the photos above, I’m in the Color Adjustments section, which is where you will probably make most edits to your photos. You need to take some time to explore the interface. While Pixelmator Pro’s auto-adjustments are useful, the real power comes in the wide range of editing tools available. In Pixelmator Pro, there is no such option for Curves, Levels, or even Black & White. For example, I recently learned how the Curves tool in Apple Photos can help improve the contrast and dynamic range in my photos I now often use the Auto button to see how this looks. With Pixelmator Pro, there are “ML” buttons for some tools – the ones that display by default – but not all. ![]() ![]() For example, in Apple Photos, I can click Auto buttons for Light, Color, Black & White, White Balance, and more. However, I wish Pixelmator Pro had automatic adjustment options for individual adjustments. I found it especially good at correcting the white balance and skin tone in this photo, which I shot with my iPhone the other day. Similar to clicking the magic wand in Apple Photos, or other automatic adjustments in various photo editing apps, I find that it is sometimes a bit heavy handed, but for many people, this is an excellent way to enhance photos. Pixelmator Pro’s ML Enhance (ML for machine learning) is an interesting tool that can automatically optimize your photos. (To access a photo editing extension, select a photo and press Return to open it in Edit mode, then click the little circle with ellipsis icon and choose Pixelmator Pro.) This is a game-changer for Apple Photos, and it now provides the best of both worlds: simple photo library management, including in the cloud, and powerful editing capabilities. With the new Pixelmator Pro, your edit history is saved, and when you re-open a photo you edited with it as an external editor, you can go back and tweak any of the adjustments you have made. If you want to go back and tweak your changes – say you want to adjust your exposure a bit more, or change the saturation – you either work on the edited photo or you start over from your original. When you open a photo in other external photo editors via Photos, make changes to the photo, then the finished photo is saved back to your Photos library. By the way, the app runs natively on Apple Silicon, for those of you with Apple M1-powered hardware.You have long been able to use external photo editors with Apple Photos, but the release yesterday of Pixelmator Pro has made Apple Photos a much more powerful photo editing tool. You can purchase Pixelmator Pro through the Mac App Store. To view the full list of updates, visit the Pixelmator Pro Update page.įor new owners, Pixelmator Pro 2.3 is on sale for 50% off, bringing its price down to $19.99. Pixelmator Pro 2.3 is available now as a free update for existing Pixelmator Pro 2 owners. Step 3: Decontaminate the colors at the object’s edges ![]() Step 2: Refine the edges of the selection You can see each step in the process in the images below. Then a third AI model enters the scene to perform color decontamination. The next step is refining the edges of the selection. The first step performed by the AI is finding the subject and creating an approximate mask around it. The company writes, 'Because Pixelmator Pro does much more than just simple background removal, we decided to create three algorithms – one for detecting the subjects of images, one for refining selection edges, and one for decontaminating the colors at the edges of objects.' These big new features are powered by machine learning algorithms that the Pixelmator team has spent the last year developing.
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