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CSS image replacement is a Web design technique that uses Cascading Style Sheets to replace text on a Web page with an image containing that text. It is intended to keep the page accessible to users of screen readers, text-only web browsers, or other browsers where support for images or style sheets is either disabled or nonexistent, while allowing the image to differ between styles.
Place this template on an article or user page to create a gallery of images on that page along with captions. Anyone may place this template. Template parameters [Edit template data] Parameter Description Type Status title title Title for the overall gallery Example Pictures of chickens String suggested align align Alignment of the gallery on the page; possible values include left, right, and ...
See also Template:Easy CSS image crop, which simplifies the interface for this template a bit. {{CSS image crop}} creates a crop of an image inline for previewing the look and feel of a page, or for linking to full images when a slight crop is preferred in an article, but the full image is more encyclopaedic in general. Where only a small ...
: link. image – link from full image to image description page: link. internal – link to file itself (Media:), and links from thumbnail and magnifying glass icon to image description page (note that color and font size specified for a.internal are only applicable in the first case): link. new example ; default: example
2. Click your profile name. 3. Click Personal Info. 4. Click Update profile photo. 5. Select Upload from device. 6. Edit the photo by cropping or rotating it, or by adding a filter. 7. Click Save changes.
See also mbox-text etc. below. MediaWiki:Common.css, MediaWiki:Print.css (hidden when printed from articles) {} meta-template that is used to create most article message boxes. autocomment Used for the section bits in edit summaries, i.e. the part between /* and */ on watchlist and rc pages. common/shared.css: includes/Linker.php: autonumber
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.
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