Object Detection
ultralytics
ONNX
PyTorch
comfyui
face-detection
face-segmentation
image-segmentation
Instructions to use luxdelux7/ForbiddenVision_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use luxdelux7/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("luxdelux7/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
Custom-trained models for face detection and segmentation across realistic, anime, and stylized content.
Made for the Forbidden Vision ComfyUI custom nodes
Contact
- GitHub: ComfyUI-Forbidden-Vision
- Issues: GitHub Issues
- Support: Ko-fi
- Downloads last month
- 2,892
Model tree for luxdelux7/ForbiddenVision_Models
Base model
Ultralytics/YOLO11