Update app.py

app.py

@@ -83,6 +83,12 @@ with torch.inference_mode():
         type="flux"
     )
 
+    # CLIP Vision
+    clipvisionloader = NODE_CLASS_MAPPINGS["CLIPVisionLoader"]()
+    clip_vision = clipvisionloader.load_clip(
+        clip_name="model.safetensors"
+    )
+
     # Style Model
     stylemodelloader = NODE_CLASS_MAPPINGS["StyleModelLoader"]()
     stylemodelloader_441 = stylemodelloader.load_style_model(
@@ -127,6 +133,7 @@ def generate_image(prompt, input_image, lora_weight, guidance, downsampling_fact
                 weight=weight,
                 conditioning=flux_guidance[0],
                 style_model=stylemodelloader_441[0],
+                clip_vision=clip_vision[0],
                 image=loaded_image[0]
             )