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To get there, type "Template:foo" in the search box (see search), or make a wikilink like [[Template:foo]] somewhere, such as in the sandbox, and click on it. Once you are there, just click "edit" or "edit this page" at the very top of the page (not the documentation edit button lower down) and edit it in the same way that you would any other page.
Template documentation Usage. Used ... Used exactly like {{Link if exists}}, but with a second unnamed parameter that may be used as the link text. See also ...
This page explains how to place images on wiki pages, where the image acts as a hypertext link to somewhere other than the image description page. Care should be taken that this is done in compliance with the licensing terms of the file in question, particularly if they require proper attribution.
Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The model is capable of generating legible text in the images compared to other text-to-image models. [1] [2]
In such cases, text annotations can be added to an image with the templates Template:Annotated image or Template:Annotated image 4. These templates allow wikitext (e.g., regular text, wikilinks, and reference templates) to be included on the image itself. They may also be used to crop an image so as to focus on a particular portion of it, or ...
If the first parameter value is present, the template links to a Google Images search on the parameter value. Ordinarily the value would consist of one or more search keywords, and/or commands that Google Images recognizes. If the second parameter value is present, the template displays the value as the link text.
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Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.