diff --git a/comfy_extras/nodes_post_processing.py b/comfy_extras/nodes_post_processing.py
index 89618de10..1d554422b 100644
--- a/comfy_extras/nodes_post_processing.py
+++ b/comfy_extras/nodes_post_processing.py
@@ -261,7 +261,7 @@ class Rotate:
                 "image": ("IMAGE",),
                 "angle": ("FLOAT", {
                     "default": 0, 
-                    "min": 0,
+                    "min": -360,
                     "max": 360,
                     "step": 0.1
                 }),
@@ -271,6 +271,8 @@ class Rotate:
                     "Bicubic",
                 ],),
                 "expand": (["disabled", "enabled"],),
+                "center": ("STRING", {"default": None}),
+                "translate": ("STRING", {"default": None}),
                 "fill_color": ("STRING", {"default": "#000000"}),
             },
         }
@@ -280,7 +282,7 @@ class Rotate:
 
     CATEGORY = "image/postprocessing"
 
-    def rotate(self, image: torch.Tensor, angle: int, resample: str, expand: str, fill_color: str):
+    def rotate(self, image: torch.Tensor, angle: int, resample: str, expand: str, center: str, translate: str, fill_color: str):
         batch_size, _, _, _ = image.shape
 
         resamplers = {
@@ -295,7 +297,7 @@ class Rotate:
         
         expand = True if expand == "enabled" else False
         fill_color = fill_color or "#000000"
-
+        
         def parse_palette(color_str):
             if re.match(r'^#[a-fA-F0-9]{6}$', color_str) or color_str.lower() in ImageColor.colormap:
                 return ImageColor.getrgb(color_str)
@@ -306,11 +308,20 @@ 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)
+
         color = fill_color.replace(" ", "")
         color = parse_palette(color)
-        rotated_image = pil_image.rotate(angle=angle, resample=resamplers[resample], expand=expand, fillcolor=color)
+        rotated_image = pil_image.rotate(angle=angle, resample=resamplers[resample], expand=expand, center=center, translate=translate, fillcolor=color)
         height, width = rotated_image.size
-        result = torch.zeros(batch_size, height, width, 3)
+        result = torch.zeros(batch_size, width, height, 3)
         rotated_array = torch.tensor(np.array(rotated_image.convert("RGB"))).float() / 255
         result[0] = rotated_array