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pngcrush is a free and open-source command-line utility for optimizing PNG image files. It reduces the size of the file losslessly – that is, the resulting "crushed" image will have the same quality as the source image.
This image shows the results of overlaying each of the above transparent PNG images on a background color of #6080A0. Note the gray fringes on the letters of the middle image. This shows how the above images would look when, for example, editing them. The grey and white check pattern would be converted into transparency.
Command_&_Conquer-Logo.png (321 × 24 pixels, file size: 13 KB, MIME type: image/png) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
The Native Image Generator, or simply NGen, is the ahead-of-time compilation (AOT) service of the .NET Framework. It allows a CLI assembly to be pre-compiled instead of letting the Common Language Runtime (CLR) do a just-in-time compilation (JIT) at runtime. In some cases the execution will be significantly faster than with JIT.
Video games portal; This file is within the scope of WikiProject Video games, a collaborative effort to improve the coverage of video games on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.
MSW Logo windows. MSWLogo is a programming language which is interpreted, based on the computer language Logo, with a graphical user interface (GUI) front end. George Mills developed it at the Massachusetts Institute of Technology (MIT).
Battle_Management_Command,_Control,_and_Communications_Directorate.png (501 × 498 pixels, file size: 397 KB, MIME type: image/png) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.