remove startup dependency on legacy models.yaml file

invokeai/backend/install/check_root.py

@@ -8,7 +8,6 @@ from invokeai.app.services.config import InvokeAIAppConfig
 
 def check_invokeai_root(config: InvokeAIAppConfig):
     try:
-        assert config.model_conf_path.exists(), f"{config.model_conf_path} not found"
         assert config.db_path.parent.exists(), f"{config.db_path.parent} not found"
         assert config.models_path.exists(), f"{config.models_path} not found"
         if not config.ignore_missing_core_models:

invokeai/backend/install/invokeai_configure.py

@@ -939,7 +939,7 @@ def main() -> None:
         # run this unconditionally in case new directories need to be added
         initialize_rootdir(config.root_path, opt.yes_to_all)
 
-        # this will initialize the models.yaml file if not present
+        # this will initialize and populate the models tables if not present
         install_helper = InstallHelper(config, logger)
 
         models_to_download = default_user_selections(opt, install_helper)

invokeai/backend/model_manager/merge.py

@@ -1,7 +1,7 @@
 """
 invokeai.backend.model_manager.merge exports:
 merge_diffusion_models() -- combine multiple models by location and return a pipeline object
-merge_diffusion_models_and_commit() -- combine multiple models by ModelManager ID and write to models.yaml
+merge_diffusion_models_and_commit() -- combine multiple models by ModelManager ID and write to the models tables
 
 Copyright (c) 2023 Lincoln Stein and the InvokeAI Development Team
 """
@@ -101,7 +101,7 @@ class ModelMerger(object):
         **kwargs: Any,
     ) -> AnyModelConfig:
         """
-        :param models: up to three models, designated by their InvokeAI models.yaml model name
+        :param models: up to three models, designated by their registered InvokeAI model name
         :param merged_model_name: name for new model
         :param alpha: The interpolation parameter. Ranges from 0 to 1.  It affects the ratio in which the checkpoints are merged. A 0.8 alpha
                    would mean that the first model checkpoints would affect the final result far less than an alpha of 0.2

invokeai/backend/training/textual_inversion_training.py

@@ -120,7 +120,7 @@ def parse_args() -> Namespace:
         "--model",
         type=str,
         default="sd-1/main/stable-diffusion-v1-5",
-        help="Name of the diffusers model to train against, as defined in configs/models.yaml.",
+        help="Name of the diffusers model to train against.",
     )
     model_group.add_argument(
         "--revision",