diff --git a/comfy_extras/nodes_post_processing.py b/comfy_extras/nodes_post_processing.py
index a138b292..51bdb24f 100644
--- a/comfy_extras/nodes_post_processing.py
+++ b/comfy_extras/nodes_post_processing.py
@@ -2,6 +2,7 @@ import numpy as np
 import torch
 import torch.nn.functional as F
 from PIL import Image
+import math
 
 import comfy.utils
 
@@ -209,9 +210,36 @@ class Sharpen:
 
         return (result,)
 
+class ImageScaleToTotalPixels:
+    upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic"]
+    crop_methods = ["disabled", "center"]
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "image": ("IMAGE",), "upscale_method": (s.upscale_methods,),
+                              "megapixels": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 16.0, "step": 0.01}),
+                            }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "upscale"
+
+    CATEGORY = "image/upscaling"
+
+    def upscale(self, image, upscale_method, megapixels):
+        samples = image.movedim(-1,1)
+        total = int(megapixels * 1024 * 1024)
+
+        scale_by = math.sqrt(total / (samples.shape[3] * samples.shape[2]))
+        width = round(samples.shape[3] * scale_by)
+        height = round(samples.shape[2] * scale_by)
+
+        s = comfy.utils.common_upscale(samples, width, height, upscale_method, "disabled")
+        s = s.movedim(1,-1)
+        return (s,)
+
 NODE_CLASS_MAPPINGS = {
     "ImageBlend": Blend,
     "ImageBlur": Blur,
     "ImageQuantize": Quantize,
     "ImageSharpen": Sharpen,
+    "ImageScaleToTotalPixels": ImageScaleToTotalPixels,
 }