Yeah, so it's impressive if this repo does what it claims and is robust to such manipulations.
I tried to run it but of course it failed with
NVIDIA GeForce RTX 4090 with CUDA capability sm_89 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
If you want to use the NVIDIA GeForce RTX 4090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
I was curious, but not curious enough to deal with this crap even if it's rather simple. God I hate everything about the modern ML ecosystem with python, pip, conda, cuda, pytorch, tensorflow (more rare now), notebooks, just-run-it-in-the-cloud...Use the google colab link
https://colab.research.google.com/github/facebookresearch/wa...
everything is installed directly in the colab
also there's "double watermark" attack, just run the result image through the watermark process again, usually the original watermark would be lost