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Example reading "خط نڛتعليق" ("Nastaliq script") in Nastaliq. The dotted form ڛ is used in place of س .. Nastaliq (/ ˌ n æ s t ə ˈ l iː k, ˈ n æ s t ə l iː k /; [2], Persian: [næstʰæʔliːq]; Urdu: [nəst̪ɑːliːq]), also romanized as Nastaʿlīq or Nastaleeq, is one of the main calligraphic hands used to write the Perso-Arabic script and it is used for some ...
an image that is not rectangular can be filled to the required rectangle using transparent surroundings; the image can even have holes (e.g. be ring-shaped) in a run of text, a special symbol for which an image is used because it is not available in the character set, can be given a transparent background, resulting in a matching background.
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Note that Hindi–Urdu transliteration schemes can be used for Punjabi as well, for Gurmukhi (Eastern Punjabi) to Shahmukhi (Western Punjabi) conversion, since Shahmukhi is a superset of the Urdu alphabet (with 2 extra consonants) and the Gurmukhi script can be easily converted to the Devanagari script.
PNG was developed as an improved, non-patented replacement for Graphics Interchange Format (GIF)—unofficially, the initials PNG stood for the recursive acronym "PNG's not GIF". [ 6 ] PNG supports palette-based images (with palettes of 24-bit RGB or 32-bit RGBA colors), grayscale images (with or without an alpha channel for transparency), and ...
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
The Urdu alphabet (Urdu: اُردُو حُرُوفِ تَہَجِّی, romanized: urdū ḥurūf-i tahajjī) is the right-to-left alphabet used for writing Urdu. It is a modification of the Persian alphabet , which itself is derived from the Arabic script .
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.