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View Code? Open in Web Editor NEWOfficial Pytorch implementation of "CLIPstyler:Image Style Transfer with a Single Text Condition" (CVPR 2022)
License: MIT License
Official Pytorch implementation of "CLIPstyler:Image Style Transfer with a Single Text Condition" (CVPR 2022)
License: MIT License
Hello authors,
What hyperparameters/settings did you used for producing the StyleGAN-NADA? Im having very different results.
Thank you for your atttention.
Hi,
I got the following error while testing the fast style transfer model,
Traceback (most recent call last):
File "test_fast.py", line 76, in <module>
network = net.Net(vgg, decoder)
NameError: name 'net' is not define
Seems that net.Net
should be fast_stylenet.Net
in
Line 76 in c8ba7a0
There seems to be another typo that --content_path
should be changed to --content_dir
in README for train_fast.py
https://github.com/cyclomon/CLIPstyler/blob/main/README.md#fast-style-transfer
First I must say, this tool is pure magic! Thanks for developing it.
I see that in the research paper, there is a demonstration image which gets style-transferred to its original format, which was a non-square, it was a image of a field and skies. I also never got any image output over the resolution of 512, which my 24GB card would surely handle.
I tried settings the --crop_size, --num_crop and --image_size options, but it never did anything. I'm no programmer (and still have a github lol, I want to learn rust eventually) and I looked through the various .py files, but couldn't find anything obvious to change it.
Is there not any way to change this in the released model, or did I just miss something?
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