old SAE model will not work with this update.

Fixed bug when SAE can be collapsed during a time.

SAE: removed CA weights and encoder/decoder dims.

added new options:

Encoder dims per channel (21-85 ?:help skip:%d)
More encoder dims help to recognize more facial features, but require more VRAM. You can fine-tune model size to fit your GPU.

Decoder dims per channel (11-85 ?:help skip:%d)
More decoder dims help to get better details, but require more VRAM. You can fine-tune model size to fit your GPU.

Add residual blocks to decoder? (y/n, ?:help skip:n) :
These blocks help to get better details, but require more computing time.

Remove gray border? (y/n, ?:help skip:n) :
Removes gray border of predicted face, but requires more computing resources.

mainscripts/Converter.py

@@ -40,6 +40,8 @@ class ConvertSubprocessor(Subprocessor):
             #therefore forcing active_DeviceConfig to CPU only
             nnlib.active_DeviceConfig = nnlib.DeviceConfig (cpu_only=True)
 
+            self.converter.on_cli_initialize()
+
             return None
 
         #override