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Hi @guyuchao the current VQFR model is trained on 512x512 FFHQ but I want to train it on 1024x1024. There are some questions I would like to ask before proceeding with training since it is computationally expensive.
Does the following changes to yml file are enough:
a. out_size: 1024 at line 18 (datasets)
b. in_dim:1024 at line 88 (network_sr, quantizer_opt)
c. in_dim: 1024 at line 109 (network_g,quantizer_opt)
d. out_size: 1024 at line 119 (network_d_global)
e. out_size: 1024 at line 131 (network_d_main_global)
Can I still use the 512x512 pre-trained models (paths in yml)
If there are any other changes that I have missed, please help.
The text was updated successfully, but these errors were encountered:
Hi @guyuchao the current VQFR model is trained on 512x512 FFHQ but I want to train it on 1024x1024. There are some questions I would like to ask before proceeding with training since it is computationally expensive.
Does the following changes to yml file are enough:
a. out_size: 1024 at line 18 (datasets)
b. in_dim:1024 at line 88 (network_sr, quantizer_opt)
c. in_dim: 1024 at line 109 (network_g,quantizer_opt)
d. out_size: 1024 at line 119 (network_d_global)
e. out_size: 1024 at line 131 (network_d_main_global)
Can I still use the 512x512 pre-trained models (paths in yml)
If there are any other changes that I have missed, please help.
The text was updated successfully, but these errors were encountered: