feat(mm): consistent naming for all model config classes

Author: psychedelicious

invokeai/app/api/routers/model_manager.py

@@ -31,10 +31,10 @@
 from invokeai.backend.model_manager import BaseModelType, ModelFormat, ModelType
 from invokeai.backend.model_manager.config import (
     AnyModelConfig,
-    Main_SD1_Checkpoint_Config,
-    Main_SD2_Checkpoint_Config,
-    Main_SDXL_Checkpoint_Config,
-    Main_SDXLRefiner_Checkpoint_Config,
+    Main_Checkpoint_SD1_Config,
+    Main_Checkpoint_SD2_Config,
+    Main_Checkpoint_SDXL_Config,
+    Main_Checkpoint_SDXLRefiner_Config,
 )
 from invokeai.backend.model_manager.load.model_cache.cache_stats import CacheStats
 from invokeai.backend.model_manager.metadata.fetch.huggingface import HuggingFaceMetadataFetch
@@ -747,10 +747,10 @@ async def convert_model(
     if isinstance(
         model_config,
         (
-            Main_SD1_Checkpoint_Config,
-            Main_SD2_Checkpoint_Config,
-            Main_SDXL_Checkpoint_Config,
-            Main_SDXLRefiner_Checkpoint_Config,
+            Main_Checkpoint_SD1_Config,
+            Main_Checkpoint_SD2_Config,
+            Main_Checkpoint_SDXL_Config,
+            Main_Checkpoint_SDXLRefiner_Config,
         ),
     ):
         msg = f"The model with key {key} is not a main SD 1/2/XL checkpoint model."

invokeai/app/invocations/flux_ip_adapter.py

@@ -17,7 +17,7 @@
 from invokeai.app.invocations.util import validate_begin_end_step, validate_weights
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.backend.model_manager.config import (
-    IPAdapter_FLUX_Checkpoint_Config,
+    IPAdapter_Checkpoint_FLUX_Config,
 )
 from invokeai.backend.model_manager.taxonomy import BaseModelType, ModelType
 
@@ -67,7 +67,7 @@ def validate_begin_end_step_percent(self) -> Self:
     def invoke(self, context: InvocationContext) -> IPAdapterOutput:
         # Lookup the CLIP Vision encoder that is intended to be used with the IP-Adapter model.
         ip_adapter_info = context.models.get_config(self.ip_adapter_model.key)
-        assert isinstance(ip_adapter_info, IPAdapter_FLUX_Checkpoint_Config)
+        assert isinstance(ip_adapter_info, IPAdapter_Checkpoint_FLUX_Config)
 
         # Note: There is a IPAdapterInvokeAIConfig.image_encoder_model_id field, but it isn't trustworthy.
         image_encoder_starter_model = CLIP_VISION_MODEL_MAP[self.clip_vision_model]