second!

scripts/color_enhance.py

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+import gradio as gr
+import imageio.core.util
+import numpy as np
+import skimage.color
+from PIL import Image
+
+from modules import scripts_postprocessing
+from modules.ui_components import FormRow
+
+
+imageio.core.util._precision_warn = lambda *args, **kwargs: None
+
+
+class ScriptPostprocessingColorEnhance(scripts_postprocessing.ScriptPostprocessing):
+    name = "Color Enhance"
+    order = 30000
+
+    def ui(self):
+        with FormRow():
+            strength = gr.Slider(label="Color Enhance strength", minimum=0, maximum=1, step=0.01, value=0)
+        return { "strength": strength }
+
+    def process(self, pp: scripts_postprocessing.PostprocessedImage, strength):
+        if strength == 0:
+            return
+        
+        info_bak = {} if not hasattr(pp.image, "info") else pp.image.info
+        pp.image = self._color_enhance(pp.image, strength)
+        pp.image.info = info_bak
+        pp.info["Color Enhance"] = strength
+
+    def _lerp(self, a: float, b: float, t: float) -> float:
+        return (1 - t) * a + t * b
+
+    def _color_enhance(self, arr, strength: float = 1) -> Image.Image:
+        lch = skimage.color.lab2lch(lab=skimage.color.rgb2lab(rgb=np.array(arr, dtype=np.uint8)))
+        lch[:, :, 1] *= 100/(self._lerp(100, lch[:, :, 1].max(), strength)) # Normalize chroma component
+        return Image.fromarray(np.array(skimage.color.lab2rgb(lab=skimage.color.lch2lab(lch=lch)) * 255, dtype=np.uint8))