LittleTerry
LittleTerry
Don't use GPU if you do not have.
same here.
Yes, it's slow in step 3, how to solve?
> You can try reducing these these two parameters: `--face_det_batch_size` and `--LNet_batch_size`. Or you can run the code in colab: https://colab.research.google.com/github/vinthony/video-retalking/blob/main/quick_demo.ipynb Excuse me, I have the same problem, cuda out...
same question here
> After a few days of hard work, I visualized every variable in the code by going through it line by line. The easiest way to do this is: Lines...
Hi, I tried to re-install the project using your provided Standard Installation and it successed  But when I ran 'python svg_render.py x=diffvg target='./data/fallingwater.png' ", an error happened Later I...
> I recommend that after you have installed the conda environment, first execute: > > python3 -c "import torch; print(f'PyTorch Version: {torch.__version__}'); print(f'CUDA Version: {torch.version.cuda}'); print(f'GPU Available: {torch.cuda.is_available()}')" > to...
> Okay, thank you. I think there is a problem here because my version in the script is not the same as your version of torch: > > ``` >...