Update app.py

app.py

@@ -50,7 +50,6 @@ def transform_image(face_image):
     # Resize the face image
     processed_face_image = processed_face_image.resize(desired_size, Image.LANCZOS)
 
-
     # Load the style image from the local path, resize it and convert to tensor
     style_image_path = "examples/soyjak2.jpg"  # Ensure this path is correct
     style_image = Image.open(style_image_path).resize(desired_size, Image.LANCZOS)
@@ -59,7 +58,7 @@ def transform_image(face_image):
     # Perform the transformation using the configured pipeline
     image = pipeline(
         prompt="soyjak",
-        ip_adapter_image=[style_image_tensor, processed_face_tensor],  # Ensure these are tensors
+        ip_adapter_image=[style_image_tensor, processed_face_image],  # Ensure these are tensors
         negative_prompt="monochrome, lowres, bad anatomy, worst quality, low quality",
         num_inference_steps=30,
         generator=generator,