Thiserror appears when a model file needed to process an image is missing or the AI engine is not able to run on the computer. Please go through the sections below sequentially to troubleshoot this error.
If your computer graphics card does not meet the system requirements, you can open Topaz Photo AI and click the Processor menu to try the CPU option. If the CPU can process an image, that indicates the graphics card is does not meet the minimum requirements for Topaz Photo AI.
For situations where neither the CPU or graphics card can process the image, it's very likely that your installation of Topaz Photo AI is missing model files. This can happen if antivirus, firewall, or a VPN blocked the installer from downloading the files.
If that does not fix it, please open Topaz Photo AI and go to the menu bar on the top. Click the Help > Open Log Folder menu option, which will open up a folder with text files. The folder will look like this.
Email
he...@topazlabs.com and attach ALL the text files in the folder to the email. Make the email subject "Error Loading Model in Topaz Photo AI" so our support team can quickly review and help you resolve the error.
A gigapixel image is a digital image bitmap composed of one billion (109) pixels (picture elements), 1000 times the information captured by a 1 megapixel digital camera. A square image of 31,623 pixels in width and height is one gigapixel. Current technology for creating such very high-resolution images usually involves either making digital image mosaics of many high-resolution digital photographs or using a film negative as large as 12" 9" (30 cm 23 cm) up to 18" 9" (46 cm 23 cm), which is then scanned with a high-end large-format film scanner with at least 3000 dpi resolution. Only a few cameras are capable of creating a gigapixel image in a single sweep of a scene, such as the Pan-STARRS PS1 and the Gigapxl Camera.[1][2]
A terapixel image is an image composed of one trillion (1012) pixels. Though currently rare, there have been a few instances such as the Microsoft Research Terapixel project for use on the Fulldome projection system,[3] a composite of medical images by Aperio,[4][5] and Google Earth's Landsat images viewable as a time-lapse are collectively considered over one terapixel.[6]
I have not had a chance to try the double pass & layering of the frames yet, but I will report back when I have had a chance to try it. I was also thinking about trying a single pass on low/low then running a separate pass just as a resize with no filter and using TOOT to average between the two - generating a new frame (as compared to laying two frames on top of one another).
I have tried a double pass and I cannot recommend it. I have also tried to layer a pass of low/low on top of a pass of none/none - my feelings on this are mixed, depending on your software you could adjust the opacity of the layers until you find your desired/optimized results.
I think with certain scenes you could play around with a variety of filters and use masking to pic out the best parts of the best runs. The background of space for example while inside the x-wings will look better with a none/none, but Lukes face will likely look better at low/low. Use the none/none as a matte and mask Luke back into the frame by hand.
I was just playing with it the other day, definitely a huge improvement. From my experience, I still seem to be getting better results doing a frame by frame in just regular old gigapixel, but I still need to explore the settings in Enhance more.
3a8082e126