This Adetailer model will segment speech bubbles, text and watermarks commonly found in training data. Trained this so I could eventually automatically clean images in a dataset. Only tested on Comfy, but should work on other webUIs too. This is a WIP, and I have many things in mind on which could be improved:
Known issues:
make sure you don't set minimum confidence too low, or else undesired objects will be segmented
can misidentify watermarks for text, speech bubbles for logos etc. but this should not matter since they are segmented anyway
Some text that is transparent/partially hidden won't be identified
Trained primarily on NSFW images, may not work too well with comics, images with large/strange fonts etc.