Object Detection
ultralytics
ONNX
PyTorch
comfyui
face-detection
face-segmentation
image-segmentation
Instructions to use vdaular/ForbiddenVision_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use vdaular/ForbiddenVision_Models with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("vdaular/ForbiddenVision_Models", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Duplicate from luxdelux7/ForbiddenVision_Models
Browse filesCo-authored-by: Luka Kašpar <luxdelux7@users.noreply.huggingface.co>
- .gitattributes +35 -0
- ForbiddenVision_face_detect_v1.onnx +3 -0
- ForbiddenVision_face_detect_v1.pt +3 -0
- ForbiddenVision_face_segment_v1.safetensors +3 -0
- ForbiddenVision_neural_corrector_v1.safetensors +3 -0
- README.md +32 -0
- config.json +20 -0
- images/header.webp +0 -0
- images/masks.webp +0 -0
.gitattributes
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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ForbiddenVision_face_detect_v1.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:b46f979ec1f9d93d38e354e0c302704065f46113d1fe4744fac57576f0b95207
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size 19017836
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ForbiddenVision_face_detect_v1.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c28ef22bb5eaef86c4a1178439a0ddb36a7bc084b6812f6f437f4ad21e13968
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size 19146906
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ForbiddenVision_face_segment_v1.safetensors
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oid sha256:41a74db0be3b2a14428da4b469fcc875c9899733793d6016becbfd186347246b
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size 45700584
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ForbiddenVision_neural_corrector_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4229628ae1acefd026b5f37b19993f991fdd55b2e46bebbfc87490bfac28345c
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size 11478862
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README.md
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---
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license: apache-2.0
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library_name: ultralytics
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base_model:
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- timm/tf_efficientnetv2_s.in21k_ft_in1k
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- Ultralytics/YOLO11
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tags:
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- comfyui
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- object-detection
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- face-detection
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- face-segmentation
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- pytorch
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- image-segmentation
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---
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<div align="center">
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<img src="images/header.webp" width="800px" />
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Custom-trained models for face detection and segmentation across realistic, anime, and stylized content.
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Made for the **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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<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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## Contact
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- GitHub: [ComfyUI-Forbidden-Vision](https://github.com/luxdelux7/ComfyUI-Forbidden-Vision)
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- Issues: [GitHub Issues](https://github.com/luxdelux7/ComfyUI-Forbidden-Vision/issues)
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- Support: [Ko-fi](https://ko-fi.com/luxdelux)
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config.json
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{
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"model_name": "ForbiddenVision Face Detection & Segmentation",
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"version": "1.0.0",
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"models": {
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"face_detection": {
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"file": "ForbiddenVision_face_detect_v1.pt",
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"architecture": "YOLO11s",
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"precision": 0.996,
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"recall": 1.0,
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"training_data": "14k+ mixed-domain images"
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},
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"face_segmentation": {
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"file": "ForbiddenVision_face_segment_v1.pth",
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"architecture": "TimmUniversalEncoder (tf_efficientnetv2_s.in21k_ft_in1k)",
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"training_data": "4k+ mixed-domain images"
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}
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},
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"usage": "Designed for ComfyUI via ForbiddenVision node pack",
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"license": "Apache-2.0"
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}
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images/header.webp
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images/masks.webp
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