From 840205496a5f7250df4bbc405091af4a0213cf36 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 00:21:09 +1000
Subject: [PATCH] feat(nodes): fix model load events on sdxl nodes

they need the `context` to be provided to emit socket events
---
 invokeai/app/invocations/compel.py | 16 +++++++++-------
 invokeai/app/invocations/sdxl.py   |  4 ++--
 2 files changed, 11 insertions(+), 9 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index fa1b6939d2..6aadbf509d 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -95,7 +95,7 @@ class CompelInvocation(BaseInvocation):
         def _lora_loader():
             for lora in self.clip.loras:
                 lora_info = context.services.model_manager.get_model(
-                    **lora.dict(exclude={"weight"}))
+                    **lora.dict(exclude={"weight"}), context=context)
                 yield (lora_info.context.model, lora.weight)
                 del lora_info
             return
@@ -171,16 +171,16 @@ class CompelInvocation(BaseInvocation):
 class SDXLPromptInvocationBase:
     def run_clip_raw(self, context, clip_field, prompt, get_pooled):
         tokenizer_info = context.services.model_manager.get_model(
-            **clip_field.tokenizer.dict(),
+            **clip_field.tokenizer.dict(), context=context,
         )
         text_encoder_info = context.services.model_manager.get_model(
-            **clip_field.text_encoder.dict(),
+            **clip_field.text_encoder.dict(), context=context,
         )
 
         def _lora_loader():
             for lora in clip_field.loras:
                 lora_info = context.services.model_manager.get_model(
-                    **lora.dict(exclude={"weight"}))
+                    **lora.dict(exclude={"weight"}), context=context)
                 yield (lora_info.context.model, lora.weight)
                 del lora_info
             return
@@ -196,6 +196,7 @@ class SDXLPromptInvocationBase:
                         model_name=name,
                         base_model=clip_field.text_encoder.base_model,
                         model_type=ModelType.TextualInversion,
+                        context=context,
                     ).context.model
                 )
             except ModelNotFoundException:
@@ -240,16 +241,16 @@ class SDXLPromptInvocationBase:
 
     def run_clip_compel(self, context, clip_field, prompt, get_pooled):
         tokenizer_info = context.services.model_manager.get_model(
-            **clip_field.tokenizer.dict(),
+            **clip_field.tokenizer.dict(), context=context,
         )
         text_encoder_info = context.services.model_manager.get_model(
-            **clip_field.text_encoder.dict(),
+            **clip_field.text_encoder.dict(), context=context,
         )
 
         def _lora_loader():
             for lora in clip_field.loras:
                 lora_info = context.services.model_manager.get_model(
-                    **lora.dict(exclude={"weight"}))
+                    **lora.dict(exclude={"weight"}), context=context)
                 yield (lora_info.context.model, lora.weight)
                 del lora_info
             return
@@ -265,6 +266,7 @@ class SDXLPromptInvocationBase:
                         model_name=name,
                         base_model=clip_field.text_encoder.base_model,
                         model_type=ModelType.TextualInversion,
+                        context=context,
                     ).context.model
                 )
             except ModelNotFoundException:
diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index 3a63860053..249e864799 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -295,7 +295,7 @@ class SDXLTextToLatentsInvocation(BaseInvocation):
 
 
         unet_info = context.services.model_manager.get_model(
-            **self.unet.unet.dict()
+            **self.unet.unet.dict(), context=context
         )
         do_classifier_free_guidance = True
         cross_attention_kwargs = None
@@ -555,7 +555,7 @@ class SDXLLatentsToLatentsInvocation(BaseInvocation):
             del noise
 
         unet_info = context.services.model_manager.get_model(
-            **self.unet.unet.dict()
+            **self.unet.unet.dict(), context=context,
         )
         do_classifier_free_guidance = True
         cross_attention_kwargs = None