Installation: Simply move the file into the ~\stable-diffusion-webui\models\adetailer folder and restart the webui.
This version was created since I noticed that my training images where mistakenly labelled as my validation images, and vice-versa. Initially, I simply switched the names around and tried for 100 epochs (since version 1 stopped at 93). However, that led to some problems, and not only did it detect feet, but it detected whole bodies as though it was feet as well, so I tried something different.
For this version, I transferred a lot of the old validation images into the training images, and tried for 200 epochs, but it determined that epoch #148 was the best. Though this version has its own problems here and there, such as occasionally detecting hands and knees as feet, it now seems to detect feet better than v1.0 and the interim version.
If you find that it's detecting hands/knees/other object falsely as feet, I'd recommend increasing the Detection model confidence threshold setting in ADetailer to at least 0.5 and/or using advanced prompt/controlnet methods.
This model isn't perfect, but it should be an improvement to v1.0 for those who desire a foot detection model outside of just simple standing/sitting poses.
Note:
This site's being very buggy today, so to differentiate the buggy v2.0 stuff, I'm temporarily calling this v2.2 so I can see what I'm working with here (there's way too many duplicates, and they won't go away when I delete them). If those other versions go away, or this one is successfully uploaded, then I'll rename this version back to v2.0
Installation: Simply move the file into the ~\stable-diffusion-webui\models\adetailer folder and restart the webui.
This version was created since I noticed that my training images where mistakenly labelled as my validation images, and vice-versa. Initially, I simply switched the names around and tried for 100 epochs (since version 1 stopped at 93). However, that led to some problems, and not only did it detect feet, but it detected whole bodies as though it was feet as well, so I tried something different.
For this version, I transferred a lot of the old validation images into the training images, and tried for 200 epochs, but it determined that epoch #148 was the best. Though this version has its own problems here and there, such as occasionally detecting hands and knees as feet, it now seems to detect feet better than v1.0 and the interim version.
If you find that it's detecting hands/knees/other object falsely as feet, I'd recommend increasing the Detection model confidence threshold setting in ADetailer to at least 0.5 and/or using advanced prompt/controlnet methods.
This model isn't perfect, but it should be an improvement to v1.0 for those who desire a foot detection model outside of just simple standing/sitting poses.
Note:
This site's being very buggy today, so to differentiate the buggy v2.0 stuff, I'm temporarily calling this v2.2 so I can see what I'm working with here (there's way too many duplicates, and they won't go away when I delete them). If those other versions go away, or this one is successfully uploaded, then I'll rename this version back to v2.0