diff --git a/liveportrait/live_portrait_pipeline.py b/liveportrait/live_portrait_pipeline.py
index 71885c8..60b4db3 100644
--- a/liveportrait/live_portrait_pipeline.py
+++ b/liveportrait/live_portrait_pipeline.py
@@ -20,7 +20,7 @@ from .utils.crop import _transform_img
 # from .utils.retargeting_utils import calc_lip_close_ratio
 # from .utils.io import load_image_rgb, load_driving_info
 # from .utils.helper import mkdir, basename, dct2cuda, is_video, is_template, resize_to_limit
-from .utils.helper import resize_to_limit
+# from .utils.helper import resize_to_limit
 
 # from .utils.rprint import rlog as log
 from .live_portrait_wrapper import LivePortraitWrapper
@@ -81,14 +81,11 @@ class LivePortraitPipeline(object):
         pbar = comfy.utils.ProgressBar(total_frames)
 
         for i in range(total_frames):
-            source_frame = self._get_source_frame(
+            source_frame_rgb = self._get_source_frame(
                 source_np, i, total_frames, mismatch_method
             )
             driving_frame = driving_images_np[i]
 
-            source_frame_rgb = resize_to_limit(
-                source_frame, inference_cfg.ref_max_shape, inference_cfg.ref_shape_n
-            )
             crop_info = self.cropper.crop_single_image(source_frame_rgb)
             source_lmk = crop_info["lmk_crop"]
             img_crop, img_crop_256x256 = (
diff --git a/nodes.py b/nodes.py
index aa56394..794c98b 100644
--- a/nodes.py
+++ b/nodes.py
@@ -315,7 +315,7 @@ class LivePortraitProcess:
         lip_retargeting_multiplier: float,
         mismatch_method: str = "repeat",
     ):
-        source_image_np = (source_image * 255).byte().numpy()
+        source_np = (source_image * 255).byte().numpy()
         driving_images_np = (driving_images * 255).byte().numpy()
 
         crop_cfg = CropConfig(
@@ -342,8 +342,6 @@ class LivePortraitProcess:
         cropped_out_list = []
         full_out_list = []
 
-        source_np = (source_image * 255).byte().numpy()
-
         cropped_out_list, full_out_list = pipeline.execute(
             source_np, driving_images_np, mismatch_method
         )