fix(nodes): ip adapter uses valid ModelIdentifierField for image encoder model

- Add class method to `ModelIdentifierField` to construct the field from a model config
- Use this to construct a valid IP adapter model field

invokeai/app/invocations/ip_adapter.py

@@ -97,7 +97,7 @@ class IPAdapterInvocation(BaseInvocation):
             ip_adapter=IPAdapterField(
                 image=self.image,
                 ip_adapter_model=self.ip_adapter_model,
-                image_encoder_model=ModelIdentifierField(key=image_encoder_models[0].key),
+                image_encoder_model=ModelIdentifierField.from_config(image_encoder_models[0]),
                 weight=self.weight,
                 begin_step_percent=self.begin_step_percent,
                 end_step_percent=self.end_step_percent,

invokeai/app/invocations/model.py

@@ -6,7 +6,7 @@ from pydantic import BaseModel, Field
 from invokeai.app.invocations.fields import FieldDescriptions, Input, InputField, OutputField, UIType
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.app.shared.models import FreeUConfig
-from invokeai.backend.model_manager.config import BaseModelType, ModelType, SubModelType
+from invokeai.backend.model_manager.config import AnyModelConfig, BaseModelType, ModelType, SubModelType
 
 from .baseinvocation import (
     BaseInvocation,
@@ -26,6 +26,19 @@ class ModelIdentifierField(BaseModel):
         description="The submodel to load, if this is a main model", default=None
     )
 
+    @classmethod
+    def from_config(
+        cls, config: "AnyModelConfig", submodel_type: Optional[SubModelType] = None
+    ) -> "ModelIdentifierField":
+        return cls(
+            key=config.key,
+            hash=config.hash,
+            name=config.name,
+            base=config.base,
+            type=config.type,
+            submodel_type=submodel_type,
+        )
+
 
 class LoRAField(BaseModel):
     lora: ModelIdentifierField = Field(description="Info to load lora model")