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Need some advice on how to use the repo to train a big dataset. #35
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@zydjohnHotmail hi, thanks for interesting to our project. So, our framework is only for compression of the pretrained StyleGAN2 models, not for training from scratch. To use our framework for your custom dataset, firstly you need to train StyleGAN2 model using external tool https://github.com/rosinality/stylegan2-pytorch, after you can follow README.md of the our repo to compress and convert to ONNX. |
Hello: |
@zydjohnHotmail no, we support ONNX/CoreML export only for MobileStyleGAN |
Hello: |
Hello: × git clone --filter=blob:none --quiet git://github.com/fbcotter/pytorch_wavelets.git 'C:\Users\John\AppData\Local\Temp\pip-req-build-fvhd01ni' did not run successfully. note: This error originates from a subprocess, and is likely not a problem with pip. × git clone --filter=blob:none --quiet git://github.com/fbcotter/pytorch_wavelets.git 'C:\Users\John\AppData\Local\Temp\pip-req-build-fvhd01ni' did not run successfully. note: This error originates from a subprocess, and is likely not a problem with pip. F:\Python\MobileStyleGAN.pytorch-develop> |
nope, you have some problems with your git settings |
Hello:
I am new to Pytorch, and I want to learn how to use StyleGan2, and I found a big dataset from here:
https://github.com/NVlabs/metfaces-dataset
I download the datasets and found the data is huge, more than 17GB on disk.
If I want to train the dataset and export the trained model in an ONNX format.
How I can start?
I have Python 3.9 on Windows 10, and Pytorch version 1.11.0.
My PC has 16-core CPU with 128GB RAM with a NVIDIA graphics card, so I think hardware is good enough to start a big project.
Thanks,
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