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
Update README.md
Browse files
README.md
CHANGED
|
@@ -19,7 +19,7 @@ Custom trained models for the soon to be released **Forbidden Vision** ComfyUI c
|
|
| 19 |
|
| 20 |
## 📦 Models
|
| 21 |
|
| 22 |
-
All models were trained on a custom dataset of **7k+ images** (a mix of SFW/NSFW
|
| 23 |
The goal was to cover style diversity across anime and realistic domains.
|
| 24 |
|
| 25 |
### 🟢 Face Detection (YOLO fine-tunes)
|
|
|
|
| 19 |
|
| 20 |
## 📦 Models
|
| 21 |
|
| 22 |
+
All models were trained on a custom dataset of **7k+ images** (a mix of SFW/NSFW from Civitai and my own curated images).
|
| 23 |
The goal was to cover style diversity across anime and realistic domains.
|
| 24 |
|
| 25 |
### 🟢 Face Detection (YOLO fine-tunes)
|