diff --git a/comfy_extras/nodes_post_processing.py b/comfy_extras/nodes_post_processing.py
index 763b8a52f..3dc3d5018 100644
--- a/comfy_extras/nodes_post_processing.py
+++ b/comfy_extras/nodes_post_processing.py
@@ -47,6 +47,8 @@ class Blend(io.ComfyNode):
         blended_image = cls.blend_mode(image1, image2, blend_mode)
         blended_image = image1 * (1 - blend_factor) + blended_image * blend_factor
         blended_image = torch.clamp(blended_image, 0, 1)
+        if image1.shape[-1] == 4:  # alpha stores transparency, not color
+            blended_image[..., 3] = image1[..., 3]
         return io.NodeOutput(blended_image)
 
     @classmethod
diff --git a/tests-unit/comfy_extras_test/image_blend_alpha_test.py b/tests-unit/comfy_extras_test/image_blend_alpha_test.py
new file mode 100644
index 000000000..6178f82a5
--- /dev/null
+++ b/tests-unit/comfy_extras_test/image_blend_alpha_test.py
@@ -0,0 +1,84 @@
+import pytest
+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_post_processing import Blend  # noqa: E402
+
+MODES = ["normal", "multiply", "screen", "overlay", "soft_light", "difference"]
+
+
+def image(value, alpha=None, size=4):
+    channels = 3 if alpha is None else 4
+    t = torch.full((1, size, size, channels), value)
+    if alpha is not None:
+        t[..., 3] = alpha
+    return t
+
+
+@pytest.mark.parametrize("mode", MODES)
+def test_rgb_blend_is_unchanged(mode):
+    """3 channel images must keep going through the untouched code path."""
+    image1, image2 = image(0.8), image(0.3)
+
+    out = Blend.execute(image1, image2, 0.5, mode).result[0]
+
+    assert out.shape == image1.shape
+    assert torch.all(out >= 0.0) and torch.all(out <= 1.0)
+
+
+@pytest.mark.parametrize("mode", MODES)
+def test_rgba_keeps_image1_alpha(mode):
+    image1, image2 = image(0.8, alpha=0.6), image(0.3, alpha=0.1)
+
+    out = Blend.execute(image1, image2, 0.5, mode).result[0]
+
+    assert out.shape[-1] == 4
+    assert torch.equal(out[..., 3], image1[..., 3])
+
+
+@pytest.mark.parametrize("mode", MODES)
+def test_two_opaque_images_stay_opaque(mode):
+    """Regression: difference mode used to compute 1.0 - 1.0 and erase the image."""
+    image1, image2 = image(0.8, alpha=1.0), image(0.3, alpha=1.0)
+
+    out = Blend.execute(image1, image2, 1.0, mode).result[0]
+
+    assert torch.all(out[..., 3] == 1.0)
+
+
+@pytest.mark.parametrize("mode", MODES)
+def test_rgb_channels_still_blend_on_rgba(mode):
+    """Preserving alpha must not stop the colour channels from blending.
+
+    Mid-tones on purpose: pure white over pure black is a fixed point for
+    several of the modes, so it would not prove anything.
+    """
+    image1, image2 = image(0.6, alpha=1.0), image(0.25, alpha=1.0)
+
+    out = Blend.execute(image1, image2, 1.0, mode).result[0]
+
+    assert not torch.equal(out[..., :3], image1[..., :3])
+
+
+def test_does_not_mutate_inputs():
+    image1, image2 = image(0.8, alpha=0.6), image(0.3, alpha=0.1)
+    before1, before2 = image1.clone(), image2.clone()
+
+    Blend.execute(image1, image2, 0.5, "difference")
+
+    assert torch.equal(image1, before1)
+    assert torch.equal(image2, before2)
+
+
+def test_mismatched_channel_counts_still_supported():
+    """image_alpha_fix (CORE-103) pads the RGB input; that must keep working."""
+    rgba, rgb = image(0.8, alpha=0.5), image(0.3)
+
+    out = Blend.execute(rgba, rgb, 0.5, "normal").result[0]
+
+    assert out.shape[-1] == 4
+    assert torch.equal(out[..., 3], rgba[..., 3])