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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.
Fotor One-Tap Photo Enhancer is a tool that is designed to automatically improve image quality and fix common imaging problems. [6] [7] Fotor GoArt is a tool to turn photos into classical painting style artwork. [8] Fotor AI Background Remover is a tool that allows users to remove backgrounds from their images with one click. [9]
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.
Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [116] if trained on a racially biased data set. A number of methods for mitigating bias have been attempted, such as altering input prompts [117] and reweighting training data. [118]
The random walker algorithm is an algorithm for image segmentation. In the first description of the algorithm, [ 1 ] a user interactively labels a small number of pixels with known labels (called seeds), e.g., "object" and "background".
Computer-generated imagery (CGI) is a specific-technology or application of computer graphics for creating or improving images in art, printed media, simulators, videos and video games. These images are either static (i.e. still images) or dynamic (i.e. moving images).
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.
Two-dimensional slice through 3D Perlin noise at z = 0. Perlin noise is a type of gradient noise developed by Ken Perlin in 1983. It has many uses, including but not limited to: procedurally generating terrain, applying pseudo-random changes to a variable, and assisting in the creation of image textures.