<h2 id="eye-segmentation-for-adetailer-oedvw98ji">Eye Segmentation for ADetailer</h2>Credits to <a target="_blank" rel="ugc" href="https://civarchive.com/user/mnemic">mnemic</a> for this <a target="_blank" rel="ugc" href="https://civarchive.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model">article</a> and <a target="_blank" rel="ugc" href="https://civarchive.com/user/Anzhc">Anzhc</a> for this <a target="_blank" rel="ugc" href="https://civarchive.com/models/293448/anzhcs-face-segmentation-prototype-or-yolov8-or-adetailer-model?modelVersionId=331333">ADetailer model</a> (see for more information)<h3 id="installation:-dughg1bil">Installation:</h3><ol><li>Download the zip archive</li><li>Extract the model into your ADetailer model folder<ul><li>For the WebUIs like Auto1111, Forge and SD.next it should be in models/adetailer</li><li>For ComfyUI it should be in models/ultralytics/segm</li></ul></li><li>Start it up (full restart if already had it open) and select the model from the ADetailer tab/node <ul><li>Tip for WebUI: you can go to WebUI Settings→Adetailer and change the number of models that can be used up to 10, very useful if you want to use more than 2 ADetailer models</li><li>If you want to do both eyes in one pass (so you keep consistency in the eyes). In your ADetailer tab, go to Mask preprocessing → Mask merge mode → and select 'Merge'. This will merge the masks and do the inpaint as if it's one mask. Keep in mind this might not be ideal if there are 2 subjects and say 4 eyes. You can mess with settings and maybe do it in some way™️. You'll have to figure that on your own.</li></ul></li><li>Make sure to have correct Detection thresholds/inpaint strength and so on for your images</li><li>Generate them eyes!</li></ol>It detects eyes pretty well. I might work more on this in the future. Please tell me what you think. Thanks! 😊

Eye Detailer/Segmentation - ADetailer

Version 2<ul><li>Cleaned dataset a bit</li><li>Increased Accuracy</li><li>Less false positives (in case you enjoyed that you can use v1)</li></ul>

Files with SHA256: a9cc4c1c813a81c8ebcd3971db29734ac599ace1f7354b1e55b0bf48bbd26a03