diff --git a/README.MD b/README.MD
index fb30542..55afa70 100644
--- a/README.MD
+++ b/README.MD
@@ -12,6 +12,7 @@ Nodes are divided into four groups according to their functions: LayerStyle, Lay
 [中文说明点这里](./README_CN.MD)
 
 ## Update
+* Commit [ChannelShake](#ChannelShake) node, that is filter, can produce channel dislocation effect similar like Tiktok logo.
 * Commit [MaskGradient](#MaskGradient) node, can create a gradient in the mask.
 * Commit [GetColorTone](#GetColorTone) node, can obtain the main color or average color of the image. 
 Commit [MaskGrow](#MaskGrow) and [MaskEdgeShrink](#MaskEdgeShrink) nodes.
@@ -386,6 +387,16 @@ This node allows any type of input.
 ![image](image/layerfilter_nodes.png)
 
 
+### <a id="table1">ChannelShake</a>
+Channel misalignment. similar to the effect of Tiktok logo.
+![image](image/channel_shake_example.png)
+
+Node options:
+![image](image/channel_shake_node.png)
+* distance: Distance of channel separation.
+* angle: Angle of channel separation.
+* mode: Channel shift arrangement order.
+
 ### <a id="table1">MotionBlur</a>
 Make the image motion blur
 ![image](image/motion_blur_example.png)
diff --git a/image/channel_shake_example.png b/image/channel_shake_example.png
new file mode 100644
index 0000000..51412e2
Binary files /dev/null and b/image/channel_shake_example.png differ
diff --git a/image/channel_shake_node.png b/image/channel_shake_node.png
new file mode 100644
index 0000000..e7a2391
Binary files /dev/null and b/image/channel_shake_node.png differ
diff --git a/py/channel_shake.py b/py/channel_shake.py
new file mode 100644
index 0000000..35784b8
--- /dev/null
+++ b/py/channel_shake.py
@@ -0,0 +1,60 @@
+import math
+
+from .imagefunc import *
+
+class ChannelShake:
+
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(self):
+        channel_mode = ['RGB', 'RBG', 'BGR', 'BRG', 'GBR', 'GRB']
+        return {
+            "required": {
+                "image": ("IMAGE", ),  #
+                "distance": ("INT", {"default": 20, "min": 1, "max": 999, "step": 1}),  # 距离
+                "angle": ("FLOAT", {"default": 40, "min": -360, "max": 360, "step": 0.01}),  # 角度
+                "mode": (channel_mode,),  # 模式
+            },
+            "optional": {
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = 'channel_shake'
+    CATEGORY = '😺dzNodes/LayerFilter'
+    OUTPUT_NODE = True
+
+    def channel_shake(self, image, distance, angle, mode, ):
+
+        _canvas = tensor2pil(image).convert('RGB')
+        R, G, B = _canvas.split()
+        x = int(math.cos(angle) * distance)
+        y = int(math.sin(angle) * distance)
+        if mode.startswith('R'):
+            R = shift_image(R.convert('RGB'), -x, -y).convert('L')
+        if mode.startswith('G'):
+            G = shift_image(G.convert('RGB'), -x, -y).convert('L')
+        if mode.startswith('B'):
+            B = shift_image(B.convert('RGB'), -x, -y).convert('L')
+        if mode.endswith('R'):
+            R = shift_image(R.convert('RGB'), x, y).convert('L')
+        if mode.endswith('G'):
+            G = shift_image(G.convert('RGB'), x, y).convert('L')
+        if mode.endswith('B'):
+            B = shift_image(B.convert('RGB'), x, y).convert('L')
+
+        ret_image = Image.merge('RGB', [R, G, B])
+        log('ChannelShake Processed.')
+
+        return (pil2tensor(ret_image),)
+
+NODE_CLASS_MAPPINGS = {
+    "LayerFilter: ChannelShake": ChannelShake
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "LayerFilter: ChannelShake": "LayerFilter: ChannelShake"
+}
\ No newline at end of file
diff --git a/py/imagefunc.py b/py/imagefunc.py
index bb28468..34e1686 100644
--- a/py/imagefunc.py
+++ b/py/imagefunc.py
@@ -153,11 +153,9 @@ def __rotate_expand(image:Image, angle:float, SSAA:int=0, method:str="lanczos")
             img_us_scaled = img.resize((width * SSAA, height * SSAA), resize_sampler)
             img_rotated = img_us_scaled.rotate(angle, rotate_sampler, expand == "true", fillcolor=(0, 0, 0, 0))
             img_down_scaled = img_rotated.resize((img_rotated.width // SSAA, img_rotated.height // SSAA), resize_sampler)
-            # result = img_down_scaled.image_to_tensor()
             result = pil2tensor(img_down_scaled)
         else:
             img_rotated = img.rotate(angle, rotate_sampler, expand == "true", fillcolor=(0, 0, 0, 0))
-            # result = img_rotated.image_to_tensor()
             result = pil2tensor(img_rotated)
         return result