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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.
Scalable Vector Graphics (SVG) is an XML -based vector image format for defining two-dimensional graphics, having support for interactivity and animation. The SVG specification is an open standard developed by the World Wide Web Consortium since 1999. SVG images are defined in a vector graphics format and stored in XML text files.
Image map. In HTML and XHTML, an image map is a list of coordinates relating to a specific image, created in order to hyperlink areas of the image to different destinations (as opposed to a normal image link, in which the entire area of the image links to a single destination). For example, a map of the world may have each country hyperlinked ...
Cascading Style Sheets (CSS) is a style sheet language used for specifying the presentation and styling of a document written in a markup language such as HTML or XML (including XML dialects such as SVG, MathML or XHTML). [ 1 ] CSS is a cornerstone technology of the World Wide Web, alongside HTML and JavaScript.
Common Image Generator Interface. The Common Image Generator Interface (CIGI) (pronounced sig-ee), is an on-the-wire data protocol that allows communication between an Image Generator and its host simulation. The interface is designed to promote a standard way for a host device to communicate with an image generator (IG) within the industry.
Extend the generator classes through Perl programming. Only linking pdoc: overridable Jinja2 templates source code syntax highlighting, automatic cross-linking to symbol declarations Yes phpDocumentor: Smarty-based templates (1.x), Twig-based templates (2+) class inheritance diagrams
Template:CSS image crop/sandbox. {{ 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 section of the image is used after the crop, it's best to upload ...
DALL·E, DALL·E 2, and DALL·E 3 (pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.