w-plus-adapter
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csxmli2016
ProxyError
ProxyError: (MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/stabilityai/sd-vae-ft-mse (Caused by ProxyError('Unable to connect to proxy', SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))))"), '(Request ID: ad9ede16-707f-4d0a-9a43-95433d9ee274)')
Hello, thanks for your works. That's so great. However, when I run the "test_demo.ipynb", the error above occured. Could you tell me how to resovle this problem.
ProxyError: (MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/stabilityai/sd-vae-ft-mse (Caused by ProxyError('Unable to connect to proxy', SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))))"), '(Request ID: ad9ede16-707f-4d0a-9a43-95433d9ee274)')
Hello, thanks for your works. That's so great. However, when I run the "test_demo.ipynb", the error above occured. Could you tell me how to resovle this problem.
Make sure you can connect to huggingface.co. If not, you can download these files of stabilityai/sd-vae-ft-mse to your local machine.
Hello, thanks for your response. I have resovled the network error. But I have an another question that how to use the "train _face.py" or "train_wild.py" to train. Specifically, how to set the parameter. Could you tell me more details about this, thanks again.
Hello, thanks for your response. I have resovled the network error. But I have an another question that how to use the "train _face.py" or "train_wild.py" to train. Specifically, how to set the parameter. Could you tell me more details about this, thanks again.
For training face as an example, you should prepare the face images and their w vectors using e4e encoder, and then modify the path 'imgs_path', 'noise_path', 'imgs_path_stylegan2', 'noise_path_stylegan2' in train_face.py. Then, run train_face.sh
For training in-the-wild, after you prepare the data and modify the corresponding paths, run train_wild.sh