refactor(mm): remove ztsnr_training field on _MainConfig

This is used to determine the CFG Rescale Multiplier setting. We'll handle this in the UI as a default setting.

invokeai/app/api/routers/model_manager.py

@@ -79,7 +79,6 @@ example_model_config = {
     "prediction_type": "epsilon",
     "repo_variant": "fp16",
     "upcast_attention": False,
-    "ztsnr_training": False,
 }
 
 example_model_input = {

invokeai/app/services/model_install/model_install_base.py

@@ -392,7 +392,7 @@ class ModelInstallServiceBase(ABC):
          will override corresponding autoassigned probe fields in the
          model's config record. Use it to override
          `name`, `description`, `base_type`, `model_type`, `format`,
-         `prediction_type`, `image_size`, and/or `ztsnr_training`.
+         `prediction_type`, and/or `image_size`.
 
         This will download the model located at `source`,
         probe it, and install it into the models directory.

invokeai/backend/model_manager/config.py

@@ -263,7 +263,6 @@ class _MainConfig(ModelConfigBase):
     variant: ModelVariantType = ModelVariantType.Normal
     prediction_type: SchedulerPredictionType = SchedulerPredictionType.Epsilon
     upcast_attention: bool = False
-    ztsnr_training: bool = False
 
 
 class MainCheckpointConfig(_CheckpointConfig, _MainConfig):