diff --git a/comfy_extras/nodes_images.py b/comfy_extras/nodes_images.py
index 7011d9c13..5c12ff926 100644
--- a/comfy_extras/nodes_images.py
+++ b/comfy_extras/nodes_images.py
@@ -189,6 +189,8 @@ class ImageAddNoise(IO.ComfyNode):
     def execute(cls, image, seed, strength) -> IO.NodeOutput:
         generator = torch.manual_seed(seed)
         s = torch.clip((image + strength * torch.randn(image.size(), generator=generator, device="cpu").to(image)), min=0.0, max=1.0)
+        if image.shape[-1] == 4:  # alpha stores transparency, not color
+            s[..., 3] = image[..., 3]
         return IO.NodeOutput(s)
 
     repeat = execute  # TODO: remove
diff --git a/tests-unit/comfy_extras_test/image_add_noise_alpha_test.py b/tests-unit/comfy_extras_test/image_add_noise_alpha_test.py
new file mode 100644
index 000000000..3f71e834c
--- /dev/null
+++ b/tests-unit/comfy_extras_test/image_add_noise_alpha_test.py
@@ -0,0 +1,63 @@
+import torch
+
+from comfy.cli_args import args as cli_args
+
+if not torch.cuda.is_available():
+    cli_args.cpu = True
+
+from comfy_extras.nodes_images import ImageAddNoise  # noqa: E402
+
+
+def image(channels, value=0.5, alpha=0.5, size=8):
+    t = torch.full((1, size, size, channels), value)
+    if channels == 4:
+        t[..., 3] = alpha
+    return t
+
+
+def test_rgb_gets_noise_on_every_channel():
+    src = image(3)
+
+    s = ImageAddNoise.execute(src, 0, 0.5).result[0]
+
+    assert s.shape == src.shape
+    assert not torch.equal(s, src)
+
+
+def test_rgba_keeps_alpha_untouched():
+    src = image(4)
+
+    s = ImageAddNoise.execute(src, 0, 0.5).result[0]
+
+    assert s.shape[-1] == 4
+    assert torch.equal(s[..., 3], src[..., 3])
+    assert not torch.equal(s[..., :3], src[..., :3])
+
+
+def test_fully_transparent_pixels_stay_transparent():
+    src = image(4, alpha=0.0)
+
+    s = ImageAddNoise.execute(src, 0, 1.0).result[0]
+
+    assert torch.all(s[..., 3] == 0.0)
+
+
+def test_only_the_alpha_channel_is_guarded():
+    """Colour channels must still get exactly the unguarded noise result."""
+    src = image(4)
+    generator = torch.manual_seed(0)
+    unguarded = torch.clip(src + 0.5 * torch.randn(src.size(), generator=generator), min=0.0, max=1.0)
+
+    s = ImageAddNoise.execute(src, 0, 0.5).result[0]
+
+    assert torch.equal(s[..., :3], unguarded[..., :3])
+    assert torch.equal(s[..., 3], src[..., 3])
+
+
+def test_does_not_mutate_input():
+    src = image(4)
+    before = src.clone()
+
+    ImageAddNoise.execute(src, 0, 0.5)
+
+    assert torch.equal(src, before)