diff --git a/color/utils.py b/color/utils.py
index 9d9656a..fb2aeb9 100644
--- a/color/utils.py
+++ b/color/utils.py
@@ -28,6 +28,28 @@ def _apply_3x3(img: torch.Tensor, mat: torch.Tensor) -> torch.Tensor:
     return torch.einsum("...c,dc->...d", img, mat)
 
 
+def _split_rgb_and_extra_channels(
+    img: torch.Tensor,
+) -> tuple[torch.Tensor, torch.Tensor | None]:
+    """Split image into RGB channels and optional extra channels (e.g. alpha)."""
+    channels = img.shape[-1]
+    if channels < 3:
+        raise ValueError(
+            f"Expected at least 3 channels in the last dimension, got {channels}."
+        )
+    rgb = img[..., :3]
+    extras = img[..., 3:] if channels > 3 else None
+    return rgb, extras
+
+
+def _recombine_rgb_and_extra_channels(
+    rgb: torch.Tensor, extras: torch.Tensor | None
+) -> torch.Tensor:
+    if extras is None:
+        return rgb
+    return torch.cat((rgb, extras), dim=-1)
+
+
 def _kelvin_to_xy_approx(k: float) -> tuple[float, float]:
     """
     Practical approximation for CCT (Kelvin) -> CIE xy chromaticity.
@@ -180,11 +202,13 @@ def _apply_white_balance_cat(
     temperature_k: 1650..25000 typical slider
     tint: -1..1 (green..magenta). Implemented as a small shift in CIE 1960 v.
     """
+    rgb_srgb, extras = _split_rgb_and_extra_channels(img_srgb)
+
     device = img_srgb.device
     dtype = img_srgb.dtype
 
     # 1) sRGB -> linear
-    lin = _srgb_to_linear(_clamp01(img_srgb))
+    lin = _srgb_to_linear(_clamp01(rgb_srgb))
 
     # 2) linear RGB -> XYZ
     rgb2xyz = _RGB_TO_XYZ.to(device=device, dtype=dtype)
@@ -231,8 +255,8 @@ def _apply_white_balance_cat(
     lin_out = _apply_3x3(xyz_adapted, xyz2rgb)
 
     # 6) linear -> sRGB
-    out = _linear_to_srgb(lin_out)
-    return _clamp01(out)
+    out_rgb = _clamp01(_linear_to_srgb(lin_out))
+    return _recombine_rgb_and_extra_channels(out_rgb, extras)
 
 
 def _apply_brightness_contrast_gamma(
@@ -344,7 +368,9 @@ def _apply_saturation_hue(
     saturation: float = 1.0,
     hue_degrees: float = 0.0,
 ) -> torch.Tensor:
-    hsv = _rgb_to_hsv(img)
+    rgb, extras = _split_rgb_and_extra_channels(img)
+    hsv = _rgb_to_hsv(rgb)
     hsv[..., 0] = (hsv[..., 0] + (float(hue_degrees) / 360.0)) % 1.0
     hsv[..., 1] = (hsv[..., 1] * float(saturation)).clamp(0.0, 1.0)
-    return _hsv_to_rgb(hsv)
+    out_rgb = _hsv_to_rgb(hsv)
+    return _recombine_rgb_and_extra_channels(out_rgb, extras)
diff --git a/pyproject.toml b/pyproject.toml
index eb10a09..12b3c2c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-supernodes"
 description = "A miscellaneous node pack of custom implementations needed for workflows released by my SuperComfy YouTube channel."
-version = "0.2.8"
+version = "0.2.9"
 license = { file = "LICENSE" } 
 dependencies  = ["matplotlib"]