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PHP File Manager with Image Editor and Amazon S3 and Azure Blob support. TinyMCE 6.x, TinyMCE 5.x, and TinyMCE 4.x. [21] Free for one website with up to 15 end-users. Requires a paid subscription or paid license for more features or more sites and users. [22] MoxieManager File and image management for TinyMCE. TinyMCE 6.x [23] and TinyMCE 5.x. [24]
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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An image scanner (often abbreviated to just scanner) is a device that optically scans images, printed text, handwriting, or an object and converts it to a digital image. The most common type of scanner used in the home and the office is the flatbed scanner , where the document is placed on a glass bed.
A word processor (WP) [1] [2] is a device or computer program that provides for input, editing, formatting, and output of text, often with some additional features.. Early word processors were stand-alone devices dedicated to the function, but current word processors are word processor programs running on general purpose computers.
A user uploads an image to the search engine (the upload size is limited to 20 MB) or provides a URL for an image or for a page containing the image. The search engine will look up other usage of the image in the internet, including modified images based upon that image, and report the date and time at which they were posted.
The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA , top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or otherwise).
Eidetic memory (/ aɪ ˈ d ɛ t ɪ k / eye-DET-ik), also known as photographic memory and total recall, is the ability to recall an image from memory with high precision—at least for a brief period of time—after seeing it only once [1] and without using a mnemonic device.
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