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A depth-guided model, named "depth2img", was introduced with the release of Stable Diffusion 2.0 on November 24, 2022; this model infers the depth of the provided input image, and generates a new output image based on both the text prompt and the depth information, which allows the coherence and depth of the original input image to be ...
AUTOMATIC1111 Stable Diffusion Web UI (SD WebUI, A1111, or Automatic1111 [3]) is an open source generative artificial intelligence program that allows users to generate images from a text prompt. [4] It uses Stable Diffusion as the base model for its image capabilities together with a large set of extensions and features to customize its output.
The Latent Diffusion Model (LDM) [1] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [2] group at LMU Munich. [ 3 ] Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian ) on training images.
Then X is said to be stable if for any constants a > 0 and b > 0 the random variable aX 1 + bX 2 has the same distribution as cX + d for some constants c > 0 and d. The distribution is said to be strictly stable if this holds with d = 0. [7]
The Ravigneaux gearset is a double planetary gear set, invented by Pol Ravigneaux, who filed a patent application on July 28, 1949, in Neuilly-sur-Seine France. [1] This planetary gear set, commonly used in automatic transmissions, is constructed from two gear pairs, ring–planet and planet–planet. The gearset provides four forward gear ...
A rare but possible configuration has a locomotive in the middle of the train with control cars at both ends, as was, for instance, used for a time on the Brussels–Amsterdam Benelux train when there were control cars but no three-voltage (3 kV DC, 1.5 kV DC, 25 kV 50 Hz) locomotives supporting the ERTMS train control system in use on the ...
In probability theory, a stable process is a type of stochastic process. It includes stochastic processes whose associated probability distributions are stable distributions. [1] Examples of stable processes include the Wiener process, or Brownian motion, whose associated probability distribution is the normal distribution.
Iberian horse, encompassing horse and pony breeds developed in the Iberian Peninsula, including the Andalusian, Lusitano and others. Meat horse, originally working draft breeds bred larger, meatier and fatter for horse meat markets. [2] Mountain and moorland pony breeds, abbreviated "M&M," a specific group of pony breeds native to the British ...