Luminar Neo's GenAI Tools Need More Time in the Oven

Luminar Neo recently added three new generative AI tools called GenErase, GenExpand, and GenSwap, all supposedly based on generative AI technology. I’d seen a bit of hype about them and they just turned up for a 30 day trial, so I just need to play and try these new features. I have to say they clearly needed more time in development before being released to the public.

The tools are only available through Neo's subscription service presumably because they utilize cloud computing power. This means they will likely never be available to run locally on a desktop.

I was most interested in testing out GenExpand, which is supposed to let you extend the edges of an image. I do like Neo’s Panorama stitching extension but I often get bulbous, untrimmed images when stitching together handheld panoramas in Neo, so I thought GenExpand could help with that. Unfortunately, my first attempt to expand a massive 588MB panorama got stuck taking forever and then just produced blackness over the area I’d selected. Oh well, back to the drawing board.

 A smaller test image did successfully expand, but the new edge addition was blurry and grayscale. On closer inspection the horizon matched byt clouds and waves didn’t matchup well to the original.

Hoping for better luck, I tried GenSwap to insert a kangaroo into a photo. The AI clearly wasn't trained on enough Aussie animals, its a bizarre creature but “thats not a real kangaroo”. At this point, my enthusiasm was waning.

Finally, I tested GenErase to remove objects from photos. It performed decently but didn't seem much better than the standard erase tool already in Luminar Neo. Trying to erase a larger object again resulted in the tool freezing up.

In the end, while the ideas behind these new GenAI tools are intriguing, I feel they simply aren't ready for practical use. Too many bugs, glitches, and failures to finish make them more frustrating than functional. Luminar Neo would have been better served by traditional beta testing before releasing them. For now, I don't trust these tools, or for that matter many other developers' generative AI tools to deliver satisfactory results, or are my expectations too high? Maybe someday the technology will mature into something more reliable, but for now GenAI feels more like a breakable flashy toy and “trying to keep up with the Jones”.