Contrast analysis/adjustment

__init__.py

@@ -26,12 +26,13 @@ _NODE_CLASSES: List[Type] = [DreamSineWave, DreamLinear, DreamCSVCurve, DreamBea
                              DreamFrameCountCalculator, DreamBigImageSwitch, DreamBigTextSwitch, DreamBigFloatSwitch,
                              DreamBigIntSwitch, DreamBigPaletteSwitch, DreamWeightedPromptBuilder, DreamPromptFinalizer,
                              DreamFrameCounterInfo, DreamBoolToFloat, DreamBoolToInt, DreamSawWave, DreamTriangleWave,
-                             DreamTriangleEvent, DreamSmoothEvent, DreamCalculation]
+                             DreamTriangleEvent, DreamSmoothEvent, DreamCalculation, DreamImageColorShift,
+                             DreamComparePalette, DreamImageContrast, DreamImageBrightness]
 _SIGNATURE_SUFFIX = " [Dream]"
 
 MANIFEST = {
     "name": "Dream Project Animation",
-    "version": (3, 1, 1),
+    "version": (3, 2, 0),
     "author": "Dream Project",
     "project": "https://github.com/alt-key-project/comfyui-dream-project",
     "description": "Various utility nodes for creating animations with ComfyUI",

calculate.py

@@ -10,6 +10,7 @@ from .shared import hashed_as_strings
 
 class DreamCalculation:
     NODE_NAME = "Calculation"
+    ICON = "🖩"
 
     @classmethod
     def INPUT_TYPES(cls):
@@ -27,7 +28,7 @@ class DreamCalculation:
             }
         }
 
-    CATEGORY = NodeCategories.ANIMATION_CURVES
+    CATEGORY = NodeCategories.UTILS
     RETURN_TYPES = ("FLOAT", "INT")
     RETURN_NAMES = ("FLOAT", "INT")
     FUNCTION = "result"

colors.py

@@ -1,4 +1,5 @@
 # -*- coding: utf-8 -*-
+
 from .categories import NodeCategories
 from .shared import *
 from .types import *
@@ -128,7 +129,7 @@ class DreamColorAlign:
     def INPUT_TYPES(cls):
         return {
             "required": SharedTypes.palette | {
-                "target_align": (RGBPalette.ID, ),
+                "target_align": (RGBPalette.ID,),
                 "alignment_factor": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 10.0, "step": 0.1}),
             }
         }
@@ -151,8 +152,8 @@ class DreamColorAlign:
         for i in range(len(palette)):
             p = palette[i]
             t = target_align[i]
-            (_, r1, g1, b1) = p.analyze()
-            (_, r2, g2, b2) = t.analyze()
+            (_, _, r1, g1, b1) = p.analyze()
+            (_, _, r2, g2, b2) = t.analyze()
 
             dr = (r2 - r1) * alignment_factor
             dg = (g2 - g1) * alignment_factor
@@ -214,9 +215,150 @@ class DreamColorShift:
         return (tuple(results),)
 
 
+class DreamImageColorShift:
+    NODE_NAME = "Image Color Shift"
+    ICON = "🖼"
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {"image": ("IMAGE",),
+                         "red_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0}),
+                         "green_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0}),
+                         "blue_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0}),
+                         },
+
+        }
+
+    CATEGORY = NodeCategories.IMAGE_COLORS
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = "result"
+
+    @classmethod
+    def IS_CHANGED(cls, *values):
+        return ALWAYS_CHANGED_FLAG
+
+    def result(self, image, red_multiplier, green_multiplier, blue_multiplier):
+        proc = DreamImageProcessor(inputs=image)
+
+        def recolor(im: DreamImage, *a, **args):
+            return (im.adjust_colors(red_multiplier, green_multiplier, blue_multiplier),)
+
+        return proc.process(recolor)
+
+
+class DreamImageBrightness:
+    NODE_NAME = "Image Brightness Adjustment"
+    ICON = "☼"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {"image": ("IMAGE",),
+                         "factor": ("FLOAT", {"default": 1.0, "min": 0.0}),
+                         },
+
+        }
+
+    CATEGORY = NodeCategories.IMAGE_COLORS
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = "result"
+
+    @classmethod
+    def IS_CHANGED(cls, *values):
+        return ALWAYS_CHANGED_FLAG
+
+    def result(self, image, factor):
+        proc = DreamImageProcessor(inputs=image)
+
+        def change(im: DreamImage, *a, **args):
+            return (im.change_brightness(factor),)
+
+        return proc.process(change)
+
+
+class DreamImageContrast:
+    NODE_NAME = "Image Contrast Adjustment"
+    ICON = "◐"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {"image": ("IMAGE",),
+                         "factor": ("FLOAT", {"default": 1.0, "min": 0.0}),
+                         },
+
+        }
+
+    CATEGORY = NodeCategories.IMAGE_COLORS
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = "result"
+
+    @classmethod
+    def IS_CHANGED(cls, *values):
+        return ALWAYS_CHANGED_FLAG
+
+    def result(self, image, factor):
+        proc = DreamImageProcessor(inputs=image)
+
+        def change(im: DreamImage, *a, **args):
+            return (im.change_contrast(factor),)
+
+        return proc.process(change)
+
+
+class DreamComparePalette:
+    NODE_NAME = "Compare Palettes"
+    ICON = "📊"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "a": (RGBPalette.ID,),
+                "b": (RGBPalette.ID,),
+            },
+        }
+
+    CATEGORY = NodeCategories.IMAGE_COLORS
+    RETURN_TYPES = ("FLOAT", "FLOAT", "FLOAT", "FLOAT")
+    RETURN_NAMES = (
+        "brightness_multiplier", "contrast_multiplier", "red_multiplier", "green_multiplier", "blue_multiplier")
+    FUNCTION = "result"
+
+    @classmethod
+    def IS_CHANGED(cls, *values):
+        return ALWAYS_CHANGED_FLAG
+
+    def result(self, a, b):
+        MIN_VALUE = 1 / 255.0
+
+        brightness = list()
+        contrasts = list()
+        reds = list()
+        greens = list()
+        blues = list()
+
+        for i in range(min(len(a), len(b))):
+            (bright, ctr, red, green, blue) = a[i].analyze()
+            (bright2, ctr2, red2, green2, blue2) = b[i].analyze()
+            brightness.append(bright2 / max(MIN_VALUE, bright))
+            contrasts.append(ctr2 / max(MIN_VALUE, ctr))
+            reds.append(red2 / max(MIN_VALUE, red))
+            greens.append(green2 / max(MIN_VALUE, green))
+            blues.append(blue2 / max(MIN_VALUE, blue))
+
+        n = len(brightness)
+
+        return (sum(brightness) / n, sum(contrasts) / n, sum(reds) / n,
+                sum(greens) / n, sum(blues) / n)
+
+
 class DreamAnalyzePalette:
     NODE_NAME = "Analyze Palette"
-    NODE = "📊"
+    ICON = "📊"
 
     @classmethod
     def INPUT_TYPES(cls):
@@ -226,8 +368,8 @@ class DreamAnalyzePalette:
         }
 
     CATEGORY = NodeCategories.IMAGE_COLORS
-    RETURN_TYPES = ("FLOAT", "FLOAT", "FLOAT", "FLOAT")
-    RETURN_NAMES = ("brightness", "redness", "greenness", "blueness")
+    RETURN_TYPES = ("FLOAT", "FLOAT", "FLOAT", "FLOAT", "FLOAT")
+    RETURN_NAMES = ("brightness", "contrast", "redness", "greenness", "blueness")
     FUNCTION = "result"
 
     @classmethod
@@ -236,12 +378,13 @@ class DreamAnalyzePalette:
 
     def result(self, palette):
         f = 1.0 / len(palette)
-        (w, r, g, b) = (0, 0, 0, 0)
+        (w, c, r, g, b) = (0, 0, 0, 0, 0)
         for p in palette:
-            (brightness, red, green, blue) = p.analyze()
+            (brightness, contrast, red, green, blue) = p.analyze()
             w += brightness
+            c += contrast
             r += red
             g += green
             b += blue
 
-        return w * f, r * f, g * f, b * f
+        return w * f, c * f, r * f, g * f, b * f

node_list.json

@@ -1,5 +1,5 @@
 {
-  "Analyze Palette [Dream]": "Output brightness, red, green and blue averages of a palette",
+  "Analyze Palette [Dream]": "Output brightness, contrast, red, green and blue averages of a palette",
   "Beat Curve [Dream]": "Beat pattern curve with impulses at specified beats of a measure",
   "Big Float Switch [Dream]": "Switch for up to 10 inputs",
   "Big Image Switch [Dream]": "Switch for up to 10 inputs",
@@ -14,6 +14,7 @@
   "CSV Generator [Dream]": "CSV output, mainly for debugging purposes",
   "Calculation [Dream]": "Mathematical calculation node",
   "Common Frame Dimensions [Dream]": "Utility for calculating good width/height based on common video dimensions",
+  "Compare Palettes [Dream]": "Analyses two palettes producing the factor for each color channel",
   "FFMPEG Video Encoder [Dream]": "Post processing for animation sequences calling FFMPEG to generate video file",
   "File Count [Dream]": "Finds the number of files in a directory matching specified patterns",
   "Finalize Prompt [Dream]": "Used in conjunction with 'Build Prompt'",
@@ -23,6 +24,9 @@
   "Frame Counter (Simple) [Dream]": "Integer value used as frame counter",
   "Frame Counter Info [Dream]": "Extracts information from the frame counter",
   "Frame Counter Offset [Dream]": "Adds an offset to a frame counter",
+  "Image Brightness Adjustment [Dream]": "Adjusts the brightness of an image by a factor",
+  "Image Color Shift [Dream]": "Adjust the colors (or brightness) of an image",
+  "Image Contrast Adjustment [Dream]": "Adjusts the contrast of an image by a factor",
   "Image Motion [Dream]": "Node supporting zooming in/out and translating an image",
   "Image Sequence Blend [Dream]": "Post processing for animation sequences blending frame for a smoother blurred effect",
   "Image Sequence Loader [Dream]": "Loads a frame from a directory of images",

readme.md

@@ -147,6 +147,9 @@ Mathematical calculation node. Exposes most of the mathematical functions in the
 [math module](https://docs.python.org/3/library/math.html), mathematical operators as well as round, abs, int, 
 float, max and min.
 
+### Compare Palettes [Dream]
+Analyses two palettes and produces the quotient for each individual channel (b/a) and brightness.
+
 ### CSV Curve [Dream]
 CSV input curve where first column is frame or second and second column is value.
 
@@ -182,6 +185,15 @@ Extracts information from the frame counter.
 ### Frame Counter Offset [Dream]
 Adds an offset to a frame counter.
 
+### Image Brightness Adjustment [Dream]
+Adjusts the brightness of an image by a factor.
+
+### Image Color Shift [Dream]
+Allows changing the colors of an image with a multiplier for each channel (RGB).
+
+### Image Contrast Adjustment [Dream]
+Adjusts the contrast of an image by a factor.
+
 ### Image Motion [Dream]
 Node supporting zooming in/out and translating an image.
 

seq_processing.py

@@ -4,9 +4,7 @@ import shutil
 import subprocess
 import tempfile
 from functools import lru_cache
-
-from PIL import Image
-
+from PIL import Image as PilImage
 from .categories import NodeCategories
 from .err import on_error
 from .shared import DreamConfig, MpegEncoderUtility
@@ -16,8 +14,8 @@ CONFIG = DreamConfig()
 
 
 @lru_cache(5)
-def _load_image_cached(filename) -> Image:
-    return Image.open(filename)
+def _load_image_cached(filename):
+    return PilImage.open(filename)
 
 
 class TempFileSet:

shared.py

@@ -10,13 +10,13 @@ import folder_paths as comfy_paths
 import glob
 import numpy
 import torch
-from PIL import Image, ImageFilter
+from PIL import Image, ImageFilter, ImageEnhance
 from PIL.ImageDraw import ImageDraw
 from PIL.PngImagePlugin import PngInfo
-from .embedded_config import EMBEDDED_CONFIGURATION
 from typing import Dict, Tuple, List
 
 from .dreamlogger import DreamLog
+from .embedded_config import EMBEDDED_CONFIGURATION
 
 NODE_FILE = os.path.abspath(__file__)
 DREAM_NODES_SOURCE_ROOT = os.path.dirname(NODE_FILE)
@@ -151,6 +151,14 @@ class DreamImage:
         self.size = self.pil_image.size
         self._draw = ImageDraw(self.pil_image)
 
+    def change_brightness(self, factor):
+        enhancer = ImageEnhance.Brightness(self.pil_image)
+        return DreamImage(pil_image=enhancer.enhance(factor))
+
+    def change_contrast(self, factor):
+        enhancer = ImageEnhance.Contrast(self.pil_image)
+        return DreamImage(pil_image=enhancer.enhance(factor))
+
     def numpy_array(self):
         return numpy.array(self.pil_image)
 
@@ -195,6 +203,15 @@ class DreamImage:
     def blur(self, amount):
         return DreamImage(pil_image=self.pil_image.filter(ImageFilter.GaussianBlur(amount)))
 
+    def adjust_colors(self, red_factor=1.0, green_factor=1.0, blue_factor=1.0):
+        # newRed   = 1.1*oldRed  +  0*oldGreen    +  0*oldBlue  + constant
+        # newGreen = 0*oldRed    +  0.9*OldGreen  +  0*OldBlue  + constant
+        # newBlue  = 0*oldRed    +  0*OldGreen    +  1*OldBlue  + constant
+        matrix = (red_factor, 0, 0, 0,
+                  0, green_factor, 0, 0,
+                  0, 0, blue_factor, 0)
+        return DreamImage(pil_image=self.pil_image.convert("RGB", matrix))
+
     def get_pixel(self, x, y):
         p = self.pil_image.getpixel((x, y))
         if len(p) == 4:
@@ -360,7 +377,7 @@ class MpegEncoderUtility:
         self._logger = get_logger()
         self._enc = mpegCoder.MpegEncoder()
         bit_rate = self._calculate_bit_rate(width, height, fps, bit_rate_factor)
-        self._logger.info("Bitrate "+str(bit_rate))
+        self._logger.info("Bitrate " + str(bit_rate))
         self._enc.setParameter(
             videoPath=video_path, codecName=codec_name,
             nthread=encoding_threads, bitRate=bit_rate, width=width, height=height, widthSrc=width,
@@ -368,7 +385,7 @@ class MpegEncoderUtility:
             GOPSize=len(files), maxBframe=max_b_frame, frameRate=self._fps_to_tuple(fps))
 
     def _calculate_bit_rate(self, width: int, height: int, fps: float, bit_rate_factor: float):
-        bits_per_pixel_base = 0.075
+        bits_per_pixel_base = 0.125
         return round(max(10, float(width * height * fps * bits_per_pixel_base * bit_rate_factor * 0.001)))
 
     def encode(self):
@@ -390,6 +407,7 @@ class MpegEncoderUtility:
     def _fps_to_tuple(self, fps: float):
         def _is_almost_int(f: float):
             return abs(f - int(f)) < 0.001
+
         a = fps
         b = 1
         while not _is_almost_int(a) and b < 100:

types.py

@@ -26,6 +26,24 @@ class RGBPalette:
             for c in colors:
                 self._colors.append(_fix_tuple(c))
 
+    def _calculate_channel_contrast(self, c):
+        hist = list(map(lambda _: 0, range(16)))
+        for pixel in self._colors:
+            hist[pixel[c] // 16] += 1
+        s = 0
+        max_possible = (15 - 0) * (len(self) // 2) * (len(self) // 2)
+        for i in range(16):
+            for j in range(i):
+                if i != j:
+                    s += abs(i - j) * hist[i] * hist[j]
+        return s / max_possible
+
+    def _calculate_combined_contrast(self):
+        s = 0
+        for c in range(3):
+            s += self._calculate_channel_contrast(c)
+        return s / 3
+
     def analyze(self):
         total_red = 0
         total_blue = 0
@@ -38,7 +56,7 @@ class RGBPalette:
         r = float(total_red) / (255 * n)
         g = float(total_green) / (255 * n)
         b = float(total_blue) / (255 * n)
-        return ((r + g + b) / 3.0, r, g, b)
+        return ((r + g + b) / 3.0, self._calculate_combined_contrast(), r, g, b)
 
     def __len__(self):
         return len(self._colors)
@@ -73,7 +91,12 @@ class PartialPrompt:
     def add(self, text: str, weight: float):
         output = PartialPrompt()
         output._data = dict(self._data)
-        output._data[text.strip()] = weight
+        for parts in text.split(","):
+            parts = parts.strip()
+            if " " in parts:
+                output._data["(" + parts + ")"] = weight
+            else:
+                output._data[parts] = weight
         return output
 
     def is_empty(self):