dummyuser-123

Hi @mchong6, When will you push the latest code with Restyle ? If you could provide any update on it then it would be very helpful.

Hi @Mombin , Exactly where we have to insert this line: torch.cuda.set_device(device), in the model.py ?  I have tried like this, but this it is not working for me.

Thanks for the answer, I have already implemented this logic in my code. And I am not facing any quality issue during concurrent requests. If possible, can you tell me...

First of all, I have never used waitress for api development. But I can tell you some general point that you can check: 1. Compare the input image and output...

Also, have you worked on fastapi ever for api creation ? Actually I have used fastapi for this model but I don't know I am not able to achieve parallelism...

> /usr/local/lib/python3.10/dist-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be **removed in 0.17**. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional...

have you found any solution for this error ?

Hey @nikita-fuchs, I am also facing this issue while deploying docker image into AWS Elastic Beanstalk. So, do you have any idea about how to solve this issue in it...