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The incident is referred to in Japan as the "Pokémon Shock" (ポケモンショック, Pokemon Shokku). The episode was written by Junki Takegami and directed by Kiyotaka Itani, and was broadcast on TV Tokyo .
Atsuko Nishida (西田 敦子, Nishida Atsuko) is a Japanese graphic artist who previously worked at Game Freak and TOYBOX Inc. She designed a number of creatures for the Pokémon franchise, including one of the most well-known Pokémon species, the franchise's mascot Pikachu.
A simple smiley. This is a list of emoticons or textual portrayals of a writer's moods or facial expressions in the form of icons.Originally, these icons consisted of ASCII art, and later, Shift JIS art and Unicode art.
Surprised Pikachu – An image of the Pokémon Pikachu with a blank look and an open mouth. It is used as a reaction image to show either shock or lack thereof. [272] [273] Twitch Plays Pokémon – An "experiment" and channel created by an anonymous user on Twitch in February 2014.
Pikachu has been a popular and enduring character since its debut, and is often described as one of the most iconic characters in the world. [114] [115] Pikachu's resemblance to a cute pet was cited as making its design appealing. Its usage of the color yellow made it easy for children to recognize due to being a primary color.
The first volume, The Electric Tale of Pikachu!, was released on September 5, 1999. The third volume, Electric Pikachu Boogaloo, was released on April 5, 2000. In Singapore, the manga is published in English by Chuang Yi and translated as Pokémon: The Electric Tale of Pikachu! for all four volumes. [5]
Mimikyu (/ ˈ m iː m iː k j uː / ⓘ; Japanese: ミミッキュ, Hepburn: Mimikkyu) is a Pokémon species in Nintendo and Game Freak's Pokémon franchise. Designed by Megumi Mizutani for the 2016 video games Pokémon Sun and Moon, it is referred to as the "disguise Pokémon" in the series due to its appearance, which resembles a ragdoll form of Pikachu, the series mascot.
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.