Hi everyone,
I’ve been using Topaz Photo AI for a few months now and recently started experimenting with Gigapixel AI for upscaling certain images. However, I’m a little unsure about the optimal workflow when combining these two tools.
My typical process involves first running the image through Photo AI for sharpening and noise reduction, and then using Gigapixel AI to upscale. I’m getting decent results, but I wonder if I might be missing something or if the order of operations could be better.
Here are a couple of specific questions I have:
- Processing Order: Should sharpening and noise reduction always be done before upscaling? Or is there ever a benefit to upscaling first?
- Settings Balance: Are there any recommended Photo AI settings to make the image more “friendly” for upscaling later in Gigapixel AI? I sometimes notice slight artifacts that seem to get exaggerated post-upscale.
- Image Quality vs. Time: I’m working with high-resolution RAW files, and the processing time can be significant. Are there any tips for balancing quality and processing time without sacrificing results?
I primarily work with landscapes and portraits, so any suggestions or shared golang course experiences in these genres would be incredibly helpful!
Thanks in advance for any advice.
