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README.md
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<img src="images/header.webp" width="800px" />
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Custom trained models for the soon to be
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https://github.com/luxdelux7/ComfyUI-Forbidden-Vision
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</div>
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---
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## 📦 Models
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### 🟢 Face Detection (YOLO fine-tunes)
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- **Base:** YOLO face detection models (GPL-3.0).
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- **Variants:**
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- `ForbiddenVision_facedetect_yolov11s.pt` → YOLO Small fine-tune.
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- `ForbiddenVision_facedetect_yolov11n.pt` → YOLO Nano fine-tune.
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- **Training:** Fine-tuned on the <a href="https://github.com/YapaLab/yolo-face">
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- **Usage:** Lightweight, accurate bounding box detection for faces.
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### 🔵 Face Segmentation (EfficientNet-B0 advprop)
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- **Base:** timm EfficientNet-B0 (advprop, Apache-2.0).
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- **Training:**
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- **Usage:** Provides clean masks for downstream processing.
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- **Base:** MobileNetV3-Small (Apache-2.0).
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- **Training:** Trained for landmark-based rotation correction.
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- **Usage:** Aligns faces to level eyes for consistent preprocessing.
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<img src="images/header.webp" width="800px" />
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Custom trained models for the soon to be released **Forbidden Vision** ComfyUI custom nodes.
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<a href="https://github.com/luxdelux7/ComfyUI-Forbidden-Vision">GitHub Repository</a>
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<br/>
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<a href="https://ko-fi.com/luxdelux" target="_blank">
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<img src="https://ko-fi.com/img/githubbutton_sm.svg" alt="Support me on Ko-fi">
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</a>
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</div>
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---
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## 📦 Models
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All models were trained on a custom dataset of **7k+ images** (a mix of SFW/NSFW portraits from public sources and my own curated images).
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The goal was to cover style diversity across anime and realistic domains.
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### 🟢 Face Detection (YOLO fine-tunes)
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- **Base:** YOLO face detection models (GPL-3.0).
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- **Variants:**
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- `ForbiddenVision_facedetect_yolov11s.pt` → YOLO Small fine-tune.
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- `ForbiddenVision_facedetect_yolov11n.pt` → YOLO Nano fine-tune.
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- **Training:** Fine-tuned on the <a href="https://github.com/YapaLab/yolo-face">YOLOv11 Face base</a>.
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- **Usage:** Lightweight, accurate bounding box detection for faces.
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---
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### 🔵 Face Segmentation (EfficientNet-B0 advprop)
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- **Base:** timm EfficientNet-B0 (advprop, Apache-2.0).
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- **Training:** Besides manually annotated civitai and custom images, the model used an equal split of <a href="https://github.com/switchablenorms/CelebAMask-HQ">CelebAMask-HQ</a>
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- **Usage:** Provides clean masks for downstream processing.
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---
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- **Base:** MobileNetV3-Small (Apache-2.0).
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- **Training:** Trained for landmark-based rotation correction.
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- **Usage:** Aligns faces to level eyes for consistent preprocessing.
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---
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⚖️ **Licensing Note**
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This repository is distributed under **GPL-3.0** due to the YOLO fine-tunes.
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The segmentation and rotation models are originally Apache-2.0 based, but included here under GPL for consistency.
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