diff --git a/comfy_extras/nodes_post_processing.py b/comfy_extras/nodes_post_processing.py
index 293df28d7..01b3bf546 100644
--- a/comfy_extras/nodes_post_processing.py
+++ b/comfy_extras/nodes_post_processing.py
@@ -6,6 +6,7 @@ import re
 
 import comfy.utils
 
+MAX_RESOLUTION=8192
 
 class Blend:
     def __init__(self):
@@ -271,8 +272,11 @@ class Rotate:
                     "Bicubic",
                 ],),
                 "expand": (["disabled", "enabled"],),
-                "center": ("STRING", {"default": None}),
-                "translate": ("STRING", {"default": None}),
+                "center_x": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION}),
+                "center_y": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION}),
+                "center_of_image": (["disabled", "enabled"],),
+                "translate_x": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION}),
+                "translate_y": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION}),
                 "fill_color": ("STRING", {"default": "#000000"}),
             },
         }
@@ -282,8 +286,8 @@ class Rotate:
 
     CATEGORY = "image/postprocessing"
 
-    def rotate(self, image: torch.Tensor, angle: int, resample: str, expand: str, center: str, translate: str, fill_color: str):
-        batch_size, _, _, _ = image.shape
+    def rotate(self, image: torch.Tensor, angle: int, resample: str, expand: str, center_x: int, center_y: int, center_of_image: str, translate_x: int, translate_y: int, fill_color: str):
+        batch_size, height, width, _ = image.shape
 
         resamplers = {
             "Nearest Neighbor": Image.Resampling.NEAREST,
@@ -308,20 +312,16 @@ class Rotate:
             else:
                 raise ValueError(f"Invalid color format: {color_str}")
 
-        def parse_coord(coord_str):
-            if re.match(r'^\s*-?\d+\s*,\s*-?\d+\s*$', coord_str):
-                return tuple(map(int, re.findall(r'-?\d+', coord_str)))
-            else:
-                raise ValueError(f"Invalid coordinates: {coord_str}")
-
-        center = parse_coord(center) if center else tuple(map(lambda x: x / 2, pil_image.size))            
-        translate = parse_coord(translate) if translate else (0, 0)
+        center = (center_x, center_y) if center_of_image == "disabled" else (width / 2, height / 2)  
+        print(center_of_image)
+        print(center)
+        translate = (translate_x, translate_y)
 
         color = fill_color.replace(" ", "")
         color = parse_palette(color)
         rotated_image = pil_image.rotate(angle=angle, resample=resamplers[resample], expand=expand, center=center, translate=translate, fillcolor=color)
-        width, height = rotated_image.size
-        result = torch.zeros(batch_size, height, width, 3)
+        result_width, result_height = rotated_image.size
+        result = torch.zeros(batch_size, result_height, result_width, 3)
         rotated_array = torch.tensor(np.array(rotated_image.convert("RGB"))).float() / 255
         result[0] = rotated_array