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  2. Automatic1111 - Wikipedia

    en.wikipedia.org/wiki/Automatic1111

    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.

  3. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    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 .

  4. InstallShield - Wikipedia

    en.wikipedia.org/wiki/InstallShield

    InstallShield generates a .msi file which can be used on the destination computer in order to install the payloads from the source computer where it was created. It is possible to specify questions, set prerequisites and registry settings that the user will be able to choose at the installation time.

  5. Diffusion map - Wikipedia

    en.wikipedia.org/wiki/Diffusion_map

    Diffusion maps exploit the relationship between heat diffusion and random walk Markov chain.The basic observation is that if we take a random walk on the data, walking to a nearby data-point is more likely than walking to another that is far away.

  6. Stable distribution - Wikipedia

    en.wikipedia.org/wiki/Stable_distribution

    The stable distribution family is also sometimes referred to as the Lévy alpha-stable distribution, after Paul Lévy, the first mathematician to have studied it. [ 1 ] [ 2 ] Of the four parameters defining the family, most attention has been focused on the stability parameter, α {\displaystyle \alpha } (see panel).

  7. Nonlinear dimensionality reduction - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_dimensionality...

    The major difference between diffusion maps and principal component analysis is that only local features of the data are considered in diffusion maps as opposed to taking correlations of the entire data set. defines a random walk on the data set which means that the kernel captures some local geometry of data set. The Markov chain defines fast ...

  8. Anomalous diffusion - Wikipedia

    en.wikipedia.org/wiki/Anomalous_diffusion

    Examples of anomalous diffusion in nature have been observed in ultra-cold atoms, [3] harmonic spring-mass systems, [4] scalar mixing in the interstellar medium, [5] telomeres in the nucleus of cells, [6] ion channels in the plasma membrane, [7] colloidal particle in the cytoplasm, [8] [9] [10] moisture transport in cement-based materials, [11 ...

  9. Confusion and diffusion - Wikipedia

    en.wikipedia.org/wiki/Confusion_and_diffusion

    Confusion inevitably involves some diffusion, [6] so a design with a very wide-input S-box can provide the necessary diffusion properties, [citation needed] but will be very costly in implementation. Therefore, the practical ciphers utilize relatively small S-boxes, operating on small groups of bits ("bundles" [7]).