Navy Blue Bubbles Background

distorted image, malformed body, malformed fingers

2 months ago

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Model

SSD-1B

Guidance Scale

Dimensions

1248 × 832

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$hip hop physchedelic fractal circles for an album cover$

$Quaternion and Hypercomplex Fractals Description: Generalization of Mandelbrot and Julia fractals using quaternion (4D) or hypercomplex numbers, then projected into 3D. Characteristics: More exotic and less intuitive shapes, often with “holes” or ribbon-like structures. [in fractales IFS with Apophysis refined in Mandelbulb 3D]$

1 PILOT PLUS 2 PRODUCTIONS [vintage style noisy scratches glitches, Shot the texture and then rewound the film and double exposed from a 1970 B series movie]

Terraléa 816 is a planet very similar to Earth, located in a parallel dimension. Its name comes from the contraction of the terms Terra and Random ("Aléa" in transdimensional language). Terraléa 816 resembles an Anglo-Saxon country from the 1930s and 1960s, but we have photographs showing greater diversity. The language has been considerably modified, as have the traditions. These photos were taken during various events.

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[vintage style noisy scratches glitches, Shot the texture and then rewound the film and double exposed from a 1970 B series movie]

[art by Paul Ranson] artistic and yet geometric representations of Bohr orbits: compares the electron probability densities for the hydrogen 1s, 2s, and 3s orbitals. Note that all three are spherically symmetrical. For the 2s and 3s orbitals, however (and for all other s orbitals as well), the electron probability density does not fall off smoothly with increasing r. Instead, a series of minima and maxima are observed in the radial probability plots

Local and global approaches in mathematics and machine learning are both universal approximators, but they differ in the number of parameters required to represent a given function accurately. The entire system, including data, architecture, and loss function, must be considered, as they are interconnected. Data can be noisy or biased, architecture may demand excessive parameters, and the chosen loss function may not align with the desired goal. To address these challenges, practitioners should