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Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom .
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 LDM is an improvement on standard DM by performing diffusion modeling in a latent space, and by allowing self-attention and cross-attention conditioning. LDMs are widely used in practical diffusion models. For instance, Stable Diffusion versions 1.1 to 2.1 were based on the LDM architecture. [4]
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
Licensees that formerly or currently offer separate sale decoders include Train America Studios, Digital Dynamics, and Electric RR Co. TMCC decoders have mostly been installed in 3-rail O gauge models, but it has also been offered in 2-rail O scale and S scale. TMCC utilizes the same command codes as Digital Command Control (DCC).
The National 2.5 in Gauge Association continues to support live steam passenger hauling in 2.5-inch gauge using MES tracks. They use a "scale" appropriate to the original prototype modelling both standard and narrow gauge locomotives to run on 2.5-inch track. -1:16: 3 + 1 ⁄ 2 in (89 mm) A worldwide garden railroad scale.
A non-degenerate random variable Z is α-stable for some 0 < α ≤ 2 if and only if there is an independent, identically distributed sequence of random variables X 1, X 2, X 3, ... and constants a n > 0, b n ∈ ℝ with
Standard Gauge, also known as wide gauge, was an early model railway and toy train rail gauge, introduced in the United States in 1906 by Lionel Corporation. [1] As it was a toy standard, rather than a scale modeling standard, the actual scale of Standard Gauge locomotives and rolling stock varied.
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