An artificial intelligence machine-learning program was recently used to recreate book-accurate Harry Potter characters based on their written descriptions. Released in 1997, J. K. Rowling's Harry Potter and the Sorcerer's Stone spawned six sequel books, eight main films, three spinoff films with two more planned, and a stage production of a sequel story, all in a multi-billion dollar multimedia franchise. The series has proved to one of the most popular in history with over 500 million copies sold and each book translated into 80 languages.
As with many book-to-film adaptations, characters from the original story sometimes do not look as they were described in the original source material. This is of course due to the fact that actors are cast more on just their looks, but also for their ability to capture the essence of a character and their skill as an actor. In the original book, Harry Potter was described as having green eyes, but in the films he had blue eyes due to Daniel Radcliffe being cast and a reported allergy to colored contacts. Hermione Granger was said to have large bushy hair and big front teeth. Although Emma Watson's portrayal did have slightly frizzy hair, it was nothing like her character's original description and nor did she have large teeth.
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On Reddit, user lettuceown shared renderings depicting prominent Harry Potter characters created using an AI machine learning-based art program called Artbreeder. Using the descriptions of the characters from the novels, this was an attempt to create the most book-accurate versions of the characters. Check them out in the space below:
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