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Eyeful | Robust eye detection for ADetailer

600
6.7k
78
Type
Other
Stats
6,729
Reviews
Published
Oct 27, 2023
Base Model
Other
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.