          default=64,
          info="The minimum number of filters to use in decoder upscalers (i.e. the number of "
               "filters to use for the final upscale layer).",
          datatype=int,
          min_max=(64, 512),
          rounding=64,
          group="decoder",
          fixed=True),
      dec_max_filters=dict(
          default=512,
          info="The maximum number of filters to use in decoder upscalers (i.e. the number of "
 
</s> remove         rounding=128,
 </s> add         rounding=64, </s> remove         min_max=(64, 2048),
 </s> add         min_max=(16, 2048), </s> remove         min_max=(1, 16),
 </s> add         min_max=(0, 16), </s> remove         rounding=128,
 </s> add         rounding=64, </s> remove         rounding=128,
 </s> add         rounding=64,
        min_max=(16, 512),
        rounding=16,
          default=64,
          info="The minimum number of filters to use in decoder upscalers (i.e. the number of "
               "filters to use for the final upscale layer).",
          datatype=int,
        min_max=(16, 512),
        rounding=16,
        min_max=(16, 512),
        rounding=16,
          group="decoder",
          fixed=True),
      dec_max_filters=dict(
          default=512,
          info="The maximum number of filters to use in decoder upscalers (i.e. the number of "
keep keep keep keep replace replace 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