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base_img - background image file; use just the name, without the "Image:" tag; base_width - width of background image in pixels; base caption - alternative text for background image, if left blank, the image name will be used; float_text - text to be superimposed on background image; can contain some formating (bold, italic, line breaks) and ...
Text, typically a large text in the Impact font, [4] centered at the top and bottom of the image, usually using all upper-case letters. White text with a black border is typically used because it is easily readable on almost any background color. Typically, the text at the top is only for introduction and the text at the bottom is the main message.
Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.
With alternative text: Alternative text, used when the image is unavailable or when the image is loaded in a text-only browser, or when spoken aloud, is strongly encouraged. See Alternative text for images for help on choosing it.
Use Alt as the alt text for the image. Caption (the last option that is not recognised as some other part of the image syntax): How this text is used depends on the image type. When the type has a visible caption ("thumbnail", "thumb", "frame" or "framed") then this text appears as a caption below the image.
Alpha blending is also used in 2D computer graphics to put rasterized foreground elements over a background. In order to combine the picture elements of the images correctly, it is necessary to keep an associated matte for each element in addition to its color. This matte layer contains the coverage information—the shape of the geometry being ...
Personalize your background image, sounds, and toolbar appearance in AOL Desktop Gold Access your settings to see several options that let you make it your own, such as updating the sounds that you hear, adjusting the colors used, and choosing from any of your own images or the vast Flickr library to personalize your background.
DALL-E has three components: a discrete VAE, an autoregressive decoder-only Transformer (12 billion parameters) similar to GPT-3, and a CLIP pair of image encoder and text encoder. [22] The discrete VAE can convert an image to a sequence of tokens, and conversely, convert a sequence of tokens back to an image.