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
File size: 939 Bytes
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license: apache-2.0
library_name: ultralytics
base_model:
- timm/tf_efficientnetv2_s.in21k_ft_in1k
- Ultralytics/YOLO11
tags:
- comfyui
- object-detection
- face-detection
- face-segmentation
- pytorch
- image-segmentation
---
<div align="center">
<img src="images/header.webp" width="800px" />
Custom-trained models for face detection and segmentation across realistic, anime, and stylized content.
Made for the **Forbidden Vision** ComfyUI custom nodes
<a href="https://github.com/luxdelux7/ComfyUI-Forbidden-Vision">GitHub Repository</a>
<a href="https://ko-fi.com/luxdelux" target="_blank">
<img src="https://ko-fi.com/img/githubbutton_sm.svg" alt="Support me on Ko-fi">
</a>
</div>
## Contact
- GitHub: [ComfyUI-Forbidden-Vision](https://github.com/luxdelux7/ComfyUI-Forbidden-Vision)
- Issues: [GitHub Issues](https://github.com/luxdelux7/ComfyUI-Forbidden-Vision/issues)
- Support: [Ko-fi](https://ko-fi.com/luxdelux) |