It is not running on GPU in google colab :/

Hi, awesome repo. Thanks for sharing. It throws this error every time I try to run this on GPU.

Traceback (most recent call last): File "/usr/local/bin/style_transfer", line 33, in <module> sys.exit(load_entry_point('style-transfer-pytorch', 'console_scripts', 'style_transfer')()) File "/content/style-transfer-pytorch/style_transfer/cli.py", line 213, in main props = torch.cuda.get_device_properties(device) File "/usr/local/lib/python3.6/dist-packages/torch/cuda/__init__.py", line 296, in get_device_properties _lazy_init() # will define _get_device_properties File "/usr/local/lib/python3.6/dist-packages/torch/cuda/__init__.py", line 172, in _lazy_init torch._C._cuda_init() RuntimeError: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver.

So I’m forced to run it on the CPU instead and which takes forever. 😪 Can you make it compatible with the old drivers? 😅

I made this [colab] notebook. You can reproduce the error yourself.

[crowsonkb]

Can we use multiple style images at once? (with making a collage of style images)

You can use multiple style images (just list the additional ones after the first one) and it will create a blended style from them and apply it to the content. You can also use the style weights parameter (-sw) to specify the ratios of the style images: for instance, if you have three style images, -sw 1 2 1 will use them in a 1:2:1 ratio.

[crowsonkb]

Can you tell me which parameters are the best for an 1920x1080 image? Like which pooling type and content and style wt. values?

The values of the parameters are supposed to be independent of what size the output image is. But sometimes when producing large images I set the minimum scale (-ms) to 256 or thereabouts.