diff --git a/imageprocessing.py b/imageprocessing.py
index cf5bbf9..c4e7777 100644
--- a/imageprocessing.py
+++ b/imageprocessing.py
@@ -1,5 +1,6 @@
 import torch
 from kornia.filters import bilateral_blur, unsharp_mask
+from kornia.enhance import adjust_saturation, adjust_hue, adjust_brightness, adjust_gamma, adjust_sigmoid
 
 
 class BilateralFilter:
@@ -7,8 +8,8 @@ class BilateralFilter:
     def INPUT_TYPES(s):
         return {"required": {"images": ("IMAGE", ),
                              "kernel_size": ("INT", {"default": 3, "min": 1, "max": 20, "step": 1}),
-                             "sigma_color": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 10.0, "step": 0.01}),
-                             "sigma_space": ("FLOAT", {"default": 1.5, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "sigma_color": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "sigma_space": ("FLOAT", {"default": 1.25, "min": 0.0, "max": 10.0, "step": 0.01}),
                              }}
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "bilateral_filter"
@@ -28,7 +29,7 @@ class UnsharpMask:
     def INPUT_TYPES(s):
         return {"required": {"images": ("IMAGE", ),
                              "kernel_size": ("INT", {"default": 3, "min": 1, "max": 20, "step": 1}),
-                             "sigma": ("FLOAT", {"default": 1.5, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             "sigma": ("FLOAT", {"default": 1.25, "min": 0.0, "max": 10.0, "step": 0.01}),
                              }}
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "sharpen"
@@ -43,12 +44,118 @@ class UnsharpMask:
         return (images_transformed,)
 
 
+class Hue:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"images": ("IMAGE", ),
+                             "factor": ("FLOAT", {"default": 0.0, "min": -3.141516, "max": 3.141516, "step": 0.001}),
+                             }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "hue"
+
+    CATEGORY = "ImageProcessing"
+
+    def hue(self, images, factor):
+        images = images.movedim(-1, 1).cpu()
+        images_transformed = adjust_hue(images, factor)
+        images_transformed = images_transformed.movedim(1, -1)
+
+        return (images_transformed,)
+
+
+class Saturation:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"images": ("IMAGE", ),
+                             "factor": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.01}),
+                             }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "saturation"
+
+    CATEGORY = "ImageProcessing"
+
+    def saturation(self, images, factor):
+        images = images.movedim(-1, 1).cpu()
+        images_transformed = adjust_saturation(images, factor)
+        images_transformed = images_transformed.movedim(1, -1)
+
+        return (images_transformed,)
+
+
+class Brightness:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"images": ("IMAGE", ),
+                             "factor": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                             }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "brightness"
+
+    CATEGORY = "ImageProcessing"
+
+    def brightness(self, images, factor):
+        images = images.movedim(-1, 1).cpu()
+        images_transformed = adjust_brightness(images, factor)
+        images_transformed = images_transformed.movedim(1, -1)
+
+        return (images_transformed,)
+    
+
+class Gamma:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"images": ("IMAGE", ),
+                             "gamma_value": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                             }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "gamma"
+
+    CATEGORY = "ImageProcessing"
+
+    def gamma(self, images, gamma_value):
+        images = images.movedim(-1, 1).cpu()
+        images_transformed = adjust_gamma(images, gamma_value)
+        images_transformed = images_transformed.movedim(1, -1)
+
+        return (images_transformed,)
+
+
+class SigmoidCorrection:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"images": ("IMAGE", ),
+                             "cutoff": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
+                             "gain": ("INT", {"default": 5, "min": 1, "max": 100, "step": 1}),
+                             }}
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "sigmoid"
+
+    CATEGORY = "ImageProcessing"
+
+    def sigmoid(self, images, cutoff, gain):
+        images = images.movedim(-1, 1).cpu()
+        images_transformed = adjust_sigmoid(images, cutoff, gain)
+        images_transformed = images_transformed.movedim(1, -1)
+
+        return (images_transformed,)
+
+
 NODE_CLASS_MAPPINGS = {
     "BilateralFilter": BilateralFilter,
     "UnsharpMask": UnsharpMask,
+    "Hue": Hue,
+    "Saturation": Saturation,
+    "Brightness": Brightness,
+    "Gamma": Gamma,
+    "SigmoidCorrection": SigmoidCorrection,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
     "BilateralFilter": "Bilateral Filter",
     "UnsharpMask": "Unsharp Mask",
+    "Hue": "Hue",
+    "Saturation": "Saturation",
+    "Brightness": "Brightness",
+    "Gamma": "Gamma",
+    "SigmoidCorrection": "Sigmoid Correction",
 }