In the screenshot below, you can see the optimized file size of the exact same JPEG image upscaled at the same 4x rate (and resolution), and using the same AI model. In addition to all of the updates we’ve covered in Gigapixel AI v5.8, users will also benefit from some very handy usability improvements such as optimizing the compressor settings used when saving common file formats like JPEG, PNG, and TIFF. ![]() Lots of usability improvements and bug fixes We’ve removed unnecessary copies/caching throughout the entire image pipeline and now avoid reading the entire image when batch importing, which will result in an overall faster and smoother user experience. With this update to Gigapixel AI, we’ve improved the way we import (or open) and export (or save) image files to be faster and require fewer computer resources. Now, you can enjoy both fast performance speeds, as well as the high quality of processing images using your computer’s GPU. We achieved this by optimizing the model integration strategy. ![]() In this update, we largely improve the GPU output quality to make it as good as the CPU output in almost all cases for all of the Gigapixel AI models. However, sometimes the quality of the processed images can be lower than those processed with the CPU. When implemented properly, software that is coded to take advantage of your computer’s GPU-assuming it has a GPU-will largely accelerate image processing performance.
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