Adetailer for Text / Speech bubbles / Watermarks | Anime/Furry

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:

Instructions/Workflow

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.