diff --git a/comfy/cli_args.py b/comfy/cli_args.py
index d2b60e347eff..fdc31e7e2f99 100644
--- a/comfy/cli_args.py
+++ b/comfy/cli_args.py
@@ -90,6 +90,7 @@ def __call__(self, parser, namespace, values, option_string=None):
 parser.add_argument("--oneapi-device-selector", type=str, default=None, metavar="SELECTOR_STRING", help="Sets the oneAPI device(s) this instance will use.")
 parser.add_argument("--disable-ipex-optimize", action="store_true", help="Disables ipex.optimize default when loading models with Intel's Extension for Pytorch.")
 parser.add_argument("--supports-fp8-compute", action="store_true", help="ComfyUI will act like if the device supports fp8 compute.")
+parser.add_argument("--total-ram", type=float, default=0, help="Maximum system RAM visible to comfy in GB (default 0: all)")
 
 class LatentPreviewMethod(enum.Enum):
     NoPreviews = "none"
diff --git a/comfy/model_management.py b/comfy/model_management.py
index a9327ac80091..bc8179410d76 100644
--- a/comfy/model_management.py
+++ b/comfy/model_management.py
@@ -192,8 +192,12 @@ def get_total_memory(dev=None, torch_total_too=False):
     if dev is None:
         dev = get_torch_device()
 
-    if hasattr(dev, 'type') and (dev.type == 'cpu' or dev.type == 'mps'):
-        mem_total = psutil.virtual_memory().total
+    if hasattr(dev, "type") and (dev.type == "cpu" or dev.type == "mps"):
+        mem_total = 0
+        if args.total_ram != 0:
+            mem_total = args.total_ram * 1024 * 1024
+        else:
+            mem_total = psutil.virtual_memory().total
         mem_total_torch = mem_total
     else:
         if directml_enabled:
@@ -236,8 +240,15 @@ def mac_version():
         return None
 
 total_vram = get_total_memory(get_torch_device()) / (1024 * 1024)
-total_ram = psutil.virtual_memory().total / (1024 * 1024)
-logging.info("Total VRAM {:0.0f} MB, total RAM {:0.0f} MB".format(total_vram, total_ram))
+
+total_ram = 0
+if args.total_ram != 0:
+    total_ram = args.total_ram * (1024)  # arg in GB
+else:
+    total_ram = psutil.virtual_memory().total / (1024 * 1024)
+logging.info(
+    "Total VRAM {:0.0f} MB, total RAM {:0.0f} MB".format(total_vram, total_ram)
+)
 
 try:
     logging.info("pytorch version: {}".format(torch_version))