From a757ab2752d7e841bb42fdca5072066db9d5a28e Mon Sep 17 00:00:00 2001
From: Raykosan <71210053+Raykosan@users.noreply.github.com>
Date: Tue, 17 Mar 2026 02:59:06 +0300
Subject: [PATCH] Small changes

---
 RS_Saturation_switch.py => RS_Saturation.py | 114 ++++++++++----------
 1 file changed, 57 insertions(+), 57 deletions(-)
 rename RS_Saturation_switch.py => RS_Saturation.py (84%)

diff --git a/RS_Saturation_switch.py b/RS_Saturation.py
similarity index 84%
rename from RS_Saturation_switch.py
rename to RS_Saturation.py
index a87a969..b928c90 100644
--- a/RS_Saturation_switch.py
+++ b/RS_Saturation.py
@@ -1,57 +1,57 @@
-import torch
-from comfy.model_patcher import ModelPatcher
-
-print("\033[93m🦊\033[0m \033[93mRaykoStudio - RS SaturationNode \033[92mLOADED\033[0m")
-
-class RS_SaturationSwitch:
-    @classmethod
-    def INPUT_TYPES(cls):
-        return {
-            "required": {
-                "image": ("IMAGE",),
-                "intensity": ("FLOAT", {
-                    "default": 1.0,
-                    "min": 0.0,
-                    "max": 3.0,
-                    "step": 0.05,
-                    "display_name": "Intensity",
-                    "description": "0.0=Grayscale, 1.0=Original, 1.5=Subtle Boost"
-                }),
-            },
-        }
-    
-    RETURN_TYPES = ("IMAGE",)
-    FUNCTION = "apply_saturation"
-    CATEGORY = "🦊 RaykoStudio/Image"
-    DESCRIPTION = "Artifact-free saturation control with proper tensor handling"
-
-    def apply_saturation(self, image, intensity):
-        if intensity == 1.0:
-            return (image,)
-            
-        img = image.clone().float()
-        
-        r, g, b = img[..., 0], img[..., 1], img[..., 2]
-        l = 0.299 * r + 0.587 * g + 0.114 * b
-        l = l.unsqueeze(-1)
-        
-        if intensity < 1.0:
-            result = l + intensity * (img - l)
-        else:
-            boost = 1.0 + (intensity - 1.0) * 0.7
-            delta = img - l
-            result = l + boost * delta
-            
-            result = torch.where(
-                (result < 0) | (result > 1),
-                l + 0.9 * delta,
-                result
-            )
-        
-        if result.dim() == 3:
-            result = result.unsqueeze(0)
-            
-        return (result.clamp(0, 1).to(image.dtype),)
-
-NODE_CLASS_MAPPINGS = {"RS_SaturationSwitch": RS_SaturationSwitch}
-NODE_DISPLAY_NAME_MAPPINGS = {"RS_SaturationSwitch": "🦊 RS Safe Saturation"}
\ No newline at end of file
+import torch
+from comfy.model_patcher import ModelPatcher
+
+print("\033[93m🦊\033[0m \033[93mRaykoStudio - RS Saturation \033[92mLOADED\033[0m")
+
+class RS_SaturationSwitch:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+                "intensity": ("FLOAT", {
+                    "default": 1.0,
+                    "min": 0.0,
+                    "max": 3.0,
+                    "step": 0.05,
+                    "display_name": "Intensity",
+                    "description": "0.0=Grayscale, 1.0=Original, 1.5=Subtle Boost"
+                }),
+            },
+        }
+    
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "apply_saturation"
+    CATEGORY = "🦊 RaykoStudio/Image"
+    DESCRIPTION = "Artifact-free saturation control with proper tensor handling"
+
+    def apply_saturation(self, image, intensity):
+        if intensity == 1.0:
+            return (image,)
+            
+        img = image.clone().float()
+        
+        r, g, b = img[..., 0], img[..., 1], img[..., 2]
+        l = 0.299 * r + 0.587 * g + 0.114 * b
+        l = l.unsqueeze(-1)
+        
+        if intensity < 1.0:
+            result = l + intensity * (img - l)
+        else:
+            boost = 1.0 + (intensity - 1.0) * 0.7
+            delta = img - l
+            result = l + boost * delta
+            
+            result = torch.where(
+                (result < 0) | (result > 1),
+                l + 0.9 * delta,
+                result
+            )
+        
+        if result.dim() == 3:
+            result = result.unsqueeze(0)
+            
+        return (result.clamp(0, 1).to(image.dtype),)
+
+NODE_CLASS_MAPPINGS = {"RS_Saturation": RS_SaturationSwitch}
+NODE_DISPLAY_NAME_MAPPINGS = {"RS_Saturation": "🦊 RS Saturation"}
\ No newline at end of file