diff --git a/comfy_extras/nodes_post_processing.py b/comfy_extras/nodes_post_processing.py
index ba699e2b8..f77bf7151 100644
--- a/comfy_extras/nodes_post_processing.py
+++ b/comfy_extras/nodes_post_processing.py
@@ -1,7 +1,8 @@
 import numpy as np
 import torch
 import torch.nn.functional as F
-from PIL import Image
+from PIL import Image, ImageColor
+import re
 
 import comfy.utils
 
@@ -124,6 +125,7 @@ class Quantize:
                     "max": 256,
                     "step": 1
                 }),
+                "palette": ("STRING", {"default": ""}),
                 "dither": (["none", "floyd-steinberg"],),
             },
         }
@@ -132,8 +134,17 @@ class Quantize:
     FUNCTION = "quantize"
 
     CATEGORY = "image/postprocessing"
+    
+    def flatten_list(self, list_of_lists, flat_list=[]):
+        for item in list_of_lists:
+            if type(item) == tuple:
+                self.flatten_list(item, flat_list)
+            else:
+                flat_list.append(item)
 
-    def quantize(self, image: torch.Tensor, colors: int = 256, dither: str = "FLOYDSTEINBERG"):
+        return flat_list
+
+    def quantize(self, palette, image: torch.Tensor, colors: int = 256, dither: str = "FLOYDSTEINBERG"):
         batch_size, height, width, _ = image.shape
         result = torch.zeros_like(image)
 
@@ -144,8 +155,14 @@ class Quantize:
             img = (tensor_image * 255).to(torch.uint8).numpy()
             pil_image = Image.fromarray(img, mode='RGB')
 
-            palette = pil_image.quantize(colors=colors) # Required as described in https://github.com/python-pillow/Pillow/issues/5836
-            quantized_image = pil_image.quantize(colors=colors, palette=palette, dither=dither_option)
+            if palette:
+                pal_img = Image.new('P', (1, 1))
+                pal_colors = palette.replace(" ", "").split(",")
+                pal_colors = map(lambda i: ImageColor.getrgb(i) if re.search("#[a-fA-F0-9]{6}", i) else int(i), pal_colors)
+                pal_img.putpalette(self.flatten_list(pal_colors))
+            else:
+                pal_img = pil_image.quantize(colors=colors) # Required as described in https://github.com/python-pillow/Pillow/issues/5836
+            quantized_image = pil_image.quantize(colors=colors, palette=pal_img, dither=dither_option)
 
             quantized_array = torch.tensor(np.array(quantized_image.convert("RGB"))).float() / 255
             result[b] = quantized_array