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"Perchance to Dream" is a very highly regarded episode of Batman: The Animated Series.It received a positive review and an "A−" mark from The A.V. Club. [1] The Animated Batman refers to it as "an astonishing tour de force... the best episode of the series", [2] and Retrojunk calls the battle between Bruce Wayne and Batman "one of the saddest and most humanistic conclusions in the history of ...
On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox , Edge , and Chrome Alt-Shift + X ).
Outputs of the generator network from random input were made publicly available on a number of websites. [ 33 ] [ 34 ] Similarly, since 2018, deepfake technology has allowed GANs to swap faces between actors; combined with the ability to fake voices, GANs can thus generate fake videos that seem convincing.
To Party Perchance To Party: Eric and Trevor try to crash Vana's party while also dealing with supervillain Drilliam Shakespeare. 2 "Gone Gaga / Like Supervillain, Like Son"
Lavarand, also known as the Wall of Entropy, is a hardware random number generator designed by Silicon Graphics that worked by taking pictures of the patterns made by the floating material in lava lamps, extracting random data from the pictures alledgedly using the result to seed a pseudorandom number generator.
Flux is a series of text-to-image models. The models are based on a hybrid architecture that combines multimodal and parallel diffusion transformer blocks scaled to 12 billion parameters. [8]
The Stable Diffusion model supports the ability to generate new images from scratch through the use of a text prompt describing elements to be included or omitted from the output. [8] Existing images can be re-drawn by the model to incorporate new elements described by a text prompt (a process known as "guided image synthesis" [ 49 ] ) through ...
Later, in 2017, a conditional GAN learned to generate 1000 image classes of ImageNet, a large visual database designed for use in visual object recognition software research. [51] [52] By conditioning the GAN on both random noise and a specific class label, this approach enhanced the quality of image synthesis for class-conditional models. [53]