- 19 Oct, 2022 16 commits
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captin411 authored
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captin411 authored
This algorithm plots a bunch of points of interest on the source image and averages their locations to find a center. Most points come from OpenCV. One point comes from an entropy model. OpenCV points account for 50% of the weight and the entropy based point is the other 50%. The center of all weighted points is calculated and a bounding box is drawn as close to centered over that point as possible.
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AUTOMATIC authored
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AUTOMATIC authored
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Ikko Ashimine authored
assoicated -> associated
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realryo1 authored
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AUTOMATIC1111 authored
hot-reload javascript files
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AUTOMATIC1111 authored
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Anastasius authored
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Anastasius authored
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Anastasius authored
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Cheka authored
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Silent authored
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AUTOMATIC authored
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AUTOMATIC authored
more careful loading of model weights (eliminates some issues with checkpoints that have weird cond_stage_model layer names)
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arcticfaded authored
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- 18 Oct, 2022 24 commits
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arcticfaded authored
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supersteve3d authored
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supersteve3d authored
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DepFA authored
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Matthew Clark authored
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AUTOMATIC authored
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AUTOMATIC authored
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AUTOMATIC authored
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w-e-w authored
utf-8-bom for better compatibility for some programs
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AUTOMATIC authored
have launch.py examine both COMMANDLINE_ARGS as well as argv for its arguments
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DepFA authored
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DepFA authored
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DepFA authored
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DepFA authored
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ふぁ authored
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ふぁ authored
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ふぁ authored
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ふぁ authored
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camenduru authored
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Justin Maier authored
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AUTOMATIC authored
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trufty authored
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AUTOMATIC1111 authored
Don't eat colons in booru tags
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AUTOMATIC1111 authored
Added dark mode switch
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