Type | Other |
Stats | 6,729 |
Reviews | |
Published | Oct 27, 2023 |
Base Model | |
Training | Steps: 40,000 Epochs: 325 |
Hash | AutoV2 7260B19E2D |
Eyeful | A robust eye detection YOLOv8 checkpoint for various digital images.
About: Eyeful is a custom trained YOLOv8 model meant to be used with ADetailer or any other bbox/detection compatible plugin for Automatic1111 or ComfyUI. This network can also be run completely standalone with Ultralytics.
Detection: This model has a decently robust custom training dataset, and a custom training pipeline that means it can detect eyes that are in various styles such as painting, artistic, 3d, realistic, anime, manga, most things. Thanks to YukinoAI for their own version on Civit, I wanted to go that one step further after my own testing.
Settings
Detection Confidence Threshold: >0.42
Model Location (A1111): Extract zip into models/adetailer folder
Model Location (Comfy): Extract zip into models/ultralytics/bbox folder
Failure Cases: There are reasonable limits where an eye may be too stylized or abstract to be highlighted without introducing too many false positives in the training, so this model tries to straddle the line of what you likely would consider an eye worth highlighting, human-like animal eyes: yes, sunglasses: no, etc.
Extreme closeup images will trigger multi-detections if the whole frame is eyeball, but at that point you shouldn't be using this model anyway.