![]() ![]() Image of Tux with text to be embroidered Use a Transparent Background Black and white image of Tuxĭownload this public domain image, tux-bw.svg, to your computer, and import it into your document as an editable SVG image using File>Import. Let us use a public domain black and white SVG image of Tux created by Ryan Lerch and Garret LeSage. Pictures with only a few colors work well for embroidery. This tutorial is a follow on article to Make More with Inkscape and Ink/Stitch and provides complete steps to create your design. Polo shirts are often used for embroidery because they do not tear as easily as t-shirts when pierced by embroidery needles, though with care t-shirts can also be embroidered. This tutorial will demonstrate how to design your own custom embroidered polo shirt using Inkscape and Ink/Stitch. Since vector graphics "code" an image, ChatGPT can generate them.Embroidered shirts are great custom gifts and can also be a great way to show your love for open source. All you need to know for now is that common vector formats like SVG are text files under the hood. Vector graphics are behind programs like Adobe Illustrator or Inkscape, and are commonly used for logos, read more here. Vector graphics are images made from XML data, where rather than storing a color value for each pixel, the image file contains directions for the computer to draw an image. ![]() It can write code, as in Shahir's example, but there's a way to generate images more directly from ChatGPT, by using a text-based image format. ![]() Of course, ChatGPT is only a text based generator, as compared to image gen AI like Stable Diffusion, Midjourney, or DALL-E. The best solution I'd found so far is by Jamshaid Shahir here, having the AI generate code that drew a raster image based on an array of numbers. How can we apply the capabilities AI technology to make processes more efficient, more broadly, while understanding its limits?Īfter seeing many claim that ChatGPT cannot generate images, I wanted to take on the challenge. We've all been hearing about the capabilities of OpenAI's newest generative model, but I'm most intrigued by its ability to automate the complexity of tasks, and experimenting with its capabilities beyond what we typically see used. ![]()
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