I've evaluated such content aware fill approach for large prints, and concluded that such feature was impressive for small images but unsuitable for large.
Problems happen at edges as the software find edges based on the image itself, edges are more or less accurate, edges are where assembly errors are make, not visible when images are displayed at sizes much lower than the resolution of the native image.
Say, AI software makes +-50 pixels error on edges, once the image is downsized x10 for display, the +-50 pixels error become +-5 pixels, it's not visible on web sized images.
In other words, for AI generative fill to work for professional large size prints, you'll need to start with a native image having gigapixels resolution.
So , for me, this kind of AI image fill is more like a toy, great for hobby, creative fun imagery, but I would consider for high quality professional works.
---------- Post added 01-06-23 at 08:32 ----------
Originally posted by MarkJerling Very cool Bill. I'm impressed.
I'm impressed and it also reminds me of the speech to text recognition software, supposed to save time, as you speak 4 times faster than you write, the software will write for you.
So you speak in a microphone, and you get 70% recognition right. After hours of training the AI machine with your language style and voice, the speech to text is 95% error free, remains the 5% mistakes that you have to find by reading back and correct manually.
After the promise of something revolutionary, turns out writing is as fast and you don't need a headset and teach the machine to do a mediocre job.
Speech to text AI has been around for 20 years, and we still write our text using our fingers.