Yolov11x segmentation model trained on images of 2d penises. This model was trained on humanoid and equine and canine penises, some more exotic ones are also in the data set.Trained using Ultralytics 8.3.135. You may need to update for compatibility You can find the realistic version here <a target="_blank" rel="ugc" href="https://civarchive.com/models/301092">https://civarchive.com/models/301092</a><h2 id="performance-b3nbnz8xa">Performance</h2> <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e0dc7334-a0de-42e7-ac05-08ce848a2f0e/width=525/e0dc7334-a0de-42e7-ac05-08ce848a2f0e.jpeg" />Version 2 offers 8% better Accuracy over v1 and 13.3% file size decrease.<h2 id="how-to-use-in-comfyui-e4tgqpydj"> How to use in ComfyUI</h2><ul><li>Install Impact Pack and Subpack<ul><li>Install ComfyUI-Manager from <a target="_blank" rel="ugc" href="https://github.com/ltdrdata/ComfyUI-Manager">https://github.com/ltdrdata/ComfyUI-Manager</a></li><li>Open the Manger window</li><li>Open Install Custom Nodes</li><li>Search for and install ComfyUI Impact Pack</li><li>Search for and install ComfyUI Impact Subpack</li></ul></li><li>Save the model to ~\ComfyUI\models\ultralytics\segm\</li></ul><h2 id="node-setup-jpbs1iqbw">Node setup</h2><ul><li>Add a FaceDetailer node from the Impact Pack</li><li>Add a UltralyticsDetectorProvider node and Select the ADetailer model, connect BBOX_DETECTOR to bbox_detector, and SEGM_DETECTOR to segm_detector_opt<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a3ae57b5-b4c4-43eb-8d0f-dcabf32046d7/width=525/a3ae57b5-b4c4-43eb-8d0f-dcabf32046d7.jpeg" /></li></ul>

Cock and Ball Detection 2D edition (ADetailer)

Changed base model to Yolo11x Trained on 1988 examples

Files with SHA256: b446188e3663395a0af8a8a48bf19a3a684959fd7be7bc46b0c9c5ec0e98aa96