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@@ -20,6 +20,18 @@ Though I'd planned for 500 epochs, it ended early and determined that the best w
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  I included a lot of my own generated images, as well as some stock images; anime, 3D models, and realistic images; male and female, varying skin tones, and various footwear configurations as well as barefoot images. That being said, there are some things it still cannot handle well, such as unconventional poses (like images rotated by 90 degrees), and images where the foot is the subject of composition. My guess is because the vast majority of the training images were of that with the feet taking up a small percentage of the canvas, not enough training was dedicated for closeups of feet. On the other hand, my intent was to use this model to refine the feet that isn't the focus.
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  ## Installation
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  Simply move the file into the ~\stable-diffusion-webui\models\adetailer folder and restart the webui. Should also work on ComfyUI, but I haven't tested it there. Of course, you'll need the ADetailer extension for Automatic 1111, or its equivalent on ComfyUI for any of this to work.
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  I included a lot of my own generated images, as well as some stock images; anime, 3D models, and realistic images; male and female, varying skin tones, and various footwear configurations as well as barefoot images. That being said, there are some things it still cannot handle well, such as unconventional poses (like images rotated by 90 degrees), and images where the foot is the subject of composition. My guess is because the vast majority of the training images were of that with the feet taking up a small percentage of the canvas, not enough training was dedicated for closeups of feet. On the other hand, my intent was to use this model to refine the feet that isn't the focus.
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+ ### Version 2.0
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+ V2 was done as a result of me noticing that I mislabeled my training/validation folders (i.e. my training folder was actually my validation folder, and vice-versa). So, I renamed the folders to what they're supposed to be, and I migrated a few of the images from the validation folder into the training folder, and added ~160 new images into the training dataset. I set the epochs for 200, but it determined that epoch no.
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+ 148 was the best, so this is what it is.
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+ All the images below were detected with this version 2 model.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/2STuPS0QzVd8bdkrJvVWb.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/kukSUP3mpIujIeFZqVbG7.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/oe3aRssKDjiYtq_XCZuRI.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/3ceCfPytgfHqljuY9wC5p.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/CmjPSbUts7QoBRrMaHN51.png)
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+
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  ## Installation
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  Simply move the file into the ~\stable-diffusion-webui\models\adetailer folder and restart the webui. Should also work on ComfyUI, but I haven't tested it there. Of course, you'll need the ADetailer extension for Automatic 1111, or its equivalent on ComfyUI for any of this to work.
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