                     the value saved in the state file with the updated value in config. If not
                     provided this will default to True.
  """
  from lib.utils import get_backend
  
  _HELPTEXT: str = (
      "Phaze-A Model by TorzDF, with thanks to BirbFakes.\n"
      "Allows for the experimentation of various standard Networks as the encoder and takes "
 
</s> remove _HELPTEXT = ("Phaze-A Model by TorzDF, with thanks to BirbFakes.\n"
             "Allows for the experimentation of various standard Networks as the encoder and "
             "takes inspiration from Nvidia's StyleGAN for the Decoder. It is highly recommended "
             "to research to understand the parameters better.")
 </s> add _HELPTEXT: str = (
    "Phaze-A Model by TorzDF, with thanks to BirbFakes.\n"
    "Allows for the experimentation of various standard Networks as the encoder and takes "
    "inspiration from Nvidia's StyleGAN for the Decoder. It is highly recommended to research to "
    "understand the parameters better.")

_ENCODERS: List[str] = [
    "densenet121", "densenet169", "densenet201", "inception_resnet_v2", "inception_v3",
    "mobilenet", "mobilenet_v2", "nasnet_large", "nasnet_mobile", "resnet50", "vgg16", "vgg19",
    "xception", "fs_original"] </s> remove _ENCODERS = ["densenet121", "densenet169", "densenet201", "inception_resnet_v2", "inception_v3",
             "mobilenet", "mobilenet_v2", "nasnet_large", "nasnet_mobile", "resnet50", "vgg16",
             "vgg19", "xception", "fs_original"]
 </s> add  </s> remove         if get_backend() == "amd" and model.get("no_amd"):
            valid = [k for k, v in _MODEL_MAPPING.items() if not v.get('no_amd')]
 </s> add         if get_backend() == "amd" and model.no_amd:
            valid = [k for k, v in _MODEL_MAPPING.items() if not v.no_amd]
from typing import List

                     the value saved in the state file with the updated value in config. If not
                     provided this will default to True.
  """
from typing import List

  from lib.utils import get_backend
  
  _HELPTEXT: str = (
      "Phaze-A Model by TorzDF, with thanks to BirbFakes.\n"
      "Allows for the experimentation of various standard Networks as the encoder and takes "
keep keep add keep keep keep keep keep
 Model updates
- Increase model summary width
- Phaze A updates
  - Update some min/max values
  - Add Decoder Filter Slope Mode
  - Add additional arguments for Upsampling2D
  - Adjust upsampling method for multiple upsamples in FC layers
  - Typing 
plugins/train/model/phaze_a_defaults.py