ExponentialML

> I've had the same problem and I tried adding the providers. However, now I am getting this: > > app = Face_detect_crop(name='antelope', root='./insightface_func/models', providers=['CUDAExecutionProvider', 'CPUExecutionProvider']) TypeError: **init**() got an...

Do everything exactly as it says here: https://github.com/neuralchen/SimSwap/blob/main/docs/guidance/preparation.md

I didn't test this but it should work. Instead of swapping to an image directly, you just use the path where the images are. On line 1 in test_one_image.py, add...

This is an interesting question that I'm interested in. While I'm not the author, I believe this checkpoint was trained on a similar network related to pix2pixHD (or some other...

This is just a hunch, but I think you have two options. First, it's very possible that you may have to reconfigure the down and upsample through the networks. The...

@tamirgold This is a good case of overfitting. What it generally means in simple terms, is that when you train a model for to long, either the loss decay goes...

@netrunner-exe Hey. No, I haven't been able to work on the issue. I would still suggest post processing until you can find the solution.

Thanks for your reply! I'm honestly impressed that you can throw a full video into the script without any pre-production editing, so great work. I have some suggestions that should...

> Cool, I will try to add these modules to see if there is any improvement. Great. Another idea for a problem I've just realized. If the face is tilted...

@woctezuma Wow, that works really well. Thanks for the tip! @NNNNAI I actually tried implementing the video rotation idea, but that didn't solve the issue. The performance comes down to...