Game of Thrones

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ℹ️ How was it made?
ℹ️ This model was trained on the first three episodes of the TV show Game of Thrones. 9k images focused on characters' faces (50 subjects in total), and 4k images from different scenes. Additionally, 30k images were used as regularization images - medieval-themed images and half of the ❤️‍🔥 Divas dataset.
ℹ️ Trigger word for style is "game of thrones" - using it negative prompt can help to make brighter images. Characters' names that can be used as trigger words:

ned stark, jon snow, catelyn stark, daenerys targaryen, robert baratheon, joffrey baratheon, tyrion lannister, jaime lannister, robb stark, petyr baelish, littlefinger, cersei lannister, viserys targaryen, jorah mormont, benjen stark, waymar royce, rakharo dothraki, will ranger, jeor mormont, doreah handmaid, irri dothraki, maester luwin, khal drogo, the hound, sandor clegane, lord varys, rast ranger, rodrik cassel, maester aemon, grenn ranger, gared ranger, theon greyjoy, ser barristan selmy, jory cassel, ros cook, yoren recruiter, royal steward, catspaw assassin, pypar steward, old nan, illyrio mopatis, ilyn payne, lancel lannister, renly baratheon, mikken blacksmith, alliser thorne, syrio forel

ℹ️ This model is based on ❤️‍🔥 Divas model - original training, remixed recipe, and half of the dataset used for regularization.
ℹ️ My goal was to achieve high accuracy of characters, which was challenging due to the limited amount of frames/angles/lighting/scenes of many characters. I had to pull a few tricks out of my sleeves, but I think that most of the characters look very accurate.