deepfake-detect models

Trained heads for deepfake-detect: small classifiers that run on top of frozen openai/clip-vit-large-patch14 face embeddings. Each version lives in its own folder and is never overwritten.

version	what changed	FF++ test AUC	Celeb-DF v2 AUC (unseen)	size
v0.2-clip-lntune-sbi	latest: CLIP LayerNorms tuned + self-blended fakes + flip/rescale/JPEG augmentation (best of 5 epochs: 4)	0.965	0.914	425 KB
v0.1-clip-linear-probe	baseline: frozen CLIP + logistic regression, 8 frames/video, FF++ c23	0.905	0.738	3.7 KB

Every folder contains head.safetensors, the model, with its backbone, threshold and metrics stored inside the file, head.metrics.json with all numbers from the training run, and training_run.ipynb, the executed training notebook with its full log, so every result can be checked.

pip install git+https://github.com/CodeRafay/deepfake-detect
deepfake-detect video.mp4                                  # latest version
deepfake-detect video.mp4 --head v0.1-clip-linear-probe    # a specific version

License: research and non-commercial use only. The heads are trained on FaceForensics++, whose terms apply. Use responsibly: a score is evidence, not proof. Don't make decisions about people based on it alone.