Update app.py

app.py

@@ -171,15 +171,9 @@ unetloader_76 = unetloader.load_unet(
 )
 vaeloader_80 = vaeloader.load_vae(vae_name="ae.safetensors")
 
-loraloader_81 = loraloader.load_lora_model_only(
-    lora_name=LORA_VERSION,
-    strength_model=1.0,
-    model=get_value_at_index(unetloader_76, 0),
-)
-
 
 # Add all the models that load a safetensors file
-model_loaders = [cliploader_78, unetloader_76, vaeloader_80, loraloader_81]
+model_loaders = [cliploader_78, unetloader_76, vaeloader_80]
 
 # Check which models are valid and how to best load them
 valid_models = [
@@ -214,14 +208,20 @@ def generate_image(prompt, negative_prompt, width, height, steps, cfg, seed):
             clip=get_value_at_index(t5tokenizeroptions_82, 0),
         )
 
+        loraloader_81 = loraloader.load_lora_model_only(
+            lora_name=LORA_VERSION,
+            strength_model=1.0,
+            model=get_value_at_index(unetloader_76, 0),
+        )
+
         modelsamplingauraflow_85 = modelsamplingauraflow.patch(
             shift=1.0,
-            model=get_value_at_index(loraloader_81, 0),
+            model=get_value_at_index(unetloader_76, 0),
         )
 
         cfgguider_73 = cfgguider.get_guider(
             cfg=cfg,
-            model=get_value_at_index(loraloader_81, 0),
+            model=get_value_at_index(unetloader_76, 0),
             positive=get_value_at_index(cliptextencode_74, 0),
             negative=get_value_at_index(cliptextencode_75, 0),
         )
@@ -230,7 +230,7 @@ def generate_image(prompt, negative_prompt, width, height, steps, cfg, seed):
             steps=steps,
             alpha=0.45,
             beta=0.45,
-            model=get_value_at_index(loraloader_81, 0),
+            model=get_value_at_index(unetloader_76, 0),
         )
 
         samplercustomadvanced_67 = samplercustomadvanced.sample(