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For large amounts of caption text, use text-align:left; to make it left-justified. Alternate text is optional but recommended. See Alternate text for images for hints on writing good alternate text. To have some text to the left of an image, and then some more text below the image, then put in a single <br clear="all">.
Images with text should generally use a caption and the thumb (thumbnail) option; the default results in a display 220 pixels wide (170 pixels if the upright option is used), except for those logged-in users who have set a different default in their user preferences. In general, do not define the size of an image unless there is a good reason ...
Place the image on the left side of the page. The article text that follows the image flows around the image, but there may be formatting issues with lists and indented text (see § Interaction between left-floating images and lists). center Place the image in the center of the page. The article text that follows the image is placed below the ...
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.
Images, Text Classification, object detection 2007 [33] [34] G. Griffin et al. COYO-700M Image–text-pair dataset 10 billion pairs of alt-text and image sources in HTML documents in CommonCrawl 746,972,269 Images, Text Classification, Image-Language 2022 [35] SIFT10M Dataset SIFT features of Caltech-256 dataset. Extensive SIFT feature extraction.
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The codes enclosed in angle-brackets <like this> are markup instructions (known as tags), while the text between these instructions is the actual text of the document. The codes h1 , p , and em are examples of semantic markup, in that they describe the intended purpose or the meaning of the text they include.
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.