so it's like a safetensors
so it's like a safetensors
Fyes
Fbut wait
FHiddenLayer | Security for AI
In this article, we'll show you how ransomware can be automatically launched from a machine-learning model.
Flook the table
Factually safetensors is safe, onnx is not
Finteresting
Fother places tells it is safe
Fwell this article looks very technical xD
FFGitHub
swapper = insightface.model_zoo.get_model('inswapper_128.onnx', download=True, download_zip=True) cannot download the model from given url. RuntimeError: Failed downloading url https://gith...
Fyup, i've seen those
Fthe problem is... this model is now private, and probably you got it from a link where you can't assure if its safe or not?
Fwe would need the hash of the original model to compare
Fye that was the thing i was going to do
F
Fwell at worst you can run on colab
Fthat's true
Fi got kaspersky internet security
Fdidnt give any warning or such
Fcan we use another model from here? https://github.com/deepinsight/insightface/tree/master/model_zoo
Fi think it is possible
Fand they are official downloads
Fwell nevermind, models work with insightface library, but "roop" repo needs the inswapper
Fbecause it's more than just insightface
Flooks like buffalo_l is the model for face analysis and inswapper_128 is for swapping
FFthis is another swapper model
Fthis is a colab in case you want to try: https://colab.research.google.com/github/neuralchen/SimSwap/blob/main/SimSwap%20colab.ipynb
FFlooks easy too
Fyou can even train the model yourself, with your own face
Fnice find
Fi'm gonna try it tomorrow, going to bed now
Funtil i get the correct hash for the official inswapper model i have no balls to run it haha
Fis my demo scene choice not good?
Freddit
0 votes and 1 comment so far on Reddit
Fi think is good
Fbut I liked more the will smith one
Fnice
Fmaybe i should use it
For maybe i will post with it 2 days later :d
Fyou can try simswap repo and use another example there 
Flooks very easy
Fand no ilegally downloaded models whose hash is unknown
Fhaha
Fgoing to bed, gn!
Fthanks
Fthanks for the videos, you're doing great!
�Wanna start by saying thanks for all the guides. Learned quite a bit from finding you on YouTube. I wanted to ask if you had plans of doing a textual training guide for runpod. I've been trying to train an embedding for 3 days now and no matter what setup, I always get "CUDA out of memory". Figured its something I'm doing wrong on initial setup but there's not really any runpod guides for it.