feat(ui): add Qwen-Image UI types and update frontend schema

Add UI type definitions for Qwen-Image models:
- QwenImageMainModel for the main transformer model
- QwenImageVAEModel for the VAE
- Qwen2_5VLModel for the text encoder
- Update model loader to use proper UI types
- Regenerate frontend types

This enables proper UI support for selecting and using Qwen-Image models.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

invokeai/app/invocations/qwen_image_model_loader.py

@@ -1,18 +1,16 @@
-from typing import Literal
-
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
     invocation,
     invocation_output,
 )
-from invokeai.app.invocations.fields import FieldDescriptions, Input, InputField, OutputField, UIType
+from invokeai.app.invocations.fields import Input, InputField, OutputField
 from invokeai.app.invocations.model import ModelIdentifierField, Qwen2_5VLField, TransformerField, VAEField
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.backend.model_manager.config import (
     CheckpointConfigBase,
 )
-from invokeai.backend.model_manager.taxonomy import SubModelType
+from invokeai.backend.model_manager.taxonomy import BaseModelType, ModelType, SubModelType
 
 
 @invocation_output("qwen_image_model_loader_output")
@@ -36,21 +34,24 @@ class QwenImageModelLoaderInvocation(BaseInvocation):
 
     model: ModelIdentifierField = InputField(
         description="Qwen-Image main model",
-        ui_type=UIType.MainModel,  # Using MainModel as we haven't defined QwenImageMainModel UI type yet
         input=Input.Direct,
+        ui_model_base=BaseModelType.QwenImage,
+        ui_model_type=ModelType.Main,
     )
 
     qwen2_5_vl_model: ModelIdentifierField = InputField(
         description="Qwen2.5-VL vision-language model",
-        ui_type=UIType.MainModel,  # Using MainModel for now
         input=Input.Direct,
-        title="Qwen2.5-VL Model"
+        title="Qwen2.5-VL Model",
+        ui_model_base=BaseModelType.QwenImage,
+        # ui_model_type=ModelType.VL
     )
 
     vae_model: ModelIdentifierField = InputField(
         description="VAE model for Qwen-Image",
-        ui_type=UIType.VAEModel,
-        title="VAE"
+        title="VAE",
+        ui_model_base=BaseModelType.QwenImage,
+        ui_model_type=ModelType.VAE,
     )
 
     def invoke(self, context: InvocationContext) -> QwenImageModelLoaderOutput:
@@ -62,7 +63,7 @@ class QwenImageModelLoaderInvocation(BaseInvocation):
         # Create submodel references
         transformer = self.model.model_copy(update={"submodel_type": SubModelType.Transformer})
         vae = self.vae_model.model_copy(update={"submodel_type": SubModelType.VAE})
-        
+
         # For Qwen-Image, we use Qwen2.5-VL as the text encoder
         tokenizer = self.qwen2_5_vl_model.model_copy(update={"submodel_type": SubModelType.Tokenizer})
         text_encoder = self.qwen2_5_vl_model.model_copy(update={"submodel_type": SubModelType.TextEncoder})
@@ -75,4 +76,4 @@ class QwenImageModelLoaderInvocation(BaseInvocation):
             transformer=TransformerField(transformer=transformer, loras=[]),
             qwen2_5_vl=Qwen2_5VLField(tokenizer=tokenizer, text_encoder=text_encoder, loras=[]),
             vae=VAEField(vae=vae),
-        )
+        )