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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.
Displays a background using multiple colors which gradually phases from one color to another. Template parameters [Edit template data] Parameter Description Type Status Background color 1 1 First background color Suggested values #000000 Line optional Background color 2 2 Second background color Suggested values #000000 Line optional Background color 3 3 Third background color Suggested values ...
The test chart shows the full 256 levels of the red, green, and blue (RGB) primary colors and cyan, magenta, and yellow complementary colors, along with a full 256-level grayscale. Gradients of RGB intermediate colors (orange, lime green, sea green, sky blue, violet, and fuchsia), and a full hue spectrum are also present.
Other applications of image color transfer have been suggested. These include the co-option of color palettes from recognised sources such as famous paintings and the use as a further alternative to color modification methods commonly found in commercial image processing applications such as ‘posterise’, ‘solarise’ and ‘gradient’. [6]
Pure achromatic colors include black, white, all grays and beiges; near neutrals include browns, tans, pastels, and darker colors. Near neutrals can be of any hue or lightness. For example, the "Achromatic" use of a white background with black text is an example of a basic and commonly default color scheme in web design.
Halftone is the reprographic technique that simulates continuous-tone imagery through the use of dots, varying either in size or in spacing, thus generating a gradient-like effect. [1] "Halftone" can also be used to refer specifically to the image that is produced by this process. [1]
Gray pixels have a small gradient; black or white pixels have a large gradient. In computer vision, image gradients can be used to extract information from images. Gradient images are created from the original image (generally by convolving with a filter, one of the simplest being the Sobel filter) for this purpose. Each pixel of a gradient ...
Here is the 8-bit, 256 color gradient palette used with the color test chart and the image sample above: There exist many false color palettes, some of them standardized, used mainly in scientific applications: astronomy and radioastronomy , satellite land imaging , thermography , study of materials, tomography and magnetic resonance imaging in ...