2025-06-24 14:48:53 -04:00
2025-06-24 14:41:36 -04:00
2025-06-24 14:41:36 -04:00
2025-06-24 14:41:36 -04:00
2025-06-24 14:41:36 -04:00
2025-06-24 14:41:36 -04:00
2025-06-24 14:41:36 -04:00
2025-06-24 14:48:53 -04:00
2025-06-24 14:41:36 -04:00
2025-06-24 14:48:53 -04:00
2025-06-24 14:41:36 -04:00
2025-06-24 14:41:36 -04:00

ComfyUI-EasyColorCorrection 🎨

Professional-grade AI-powered color correction and enhancement for ComfyUI

License: MIT Python 3.8+ ComfyUI

Tip

Disclaimer: I'm obviously joking about the "$1000+ plugin" claims and competing with Photoshop - this is a ComfyUI custom node, not industry software! 😄

BUT it does have legit AI-powered features, face detection, and professional color science. And hey, it beats paying Adobe! 💰


🚀 What is this?

ComfyUI-EasyColorCorrection isn't just another color correction node. It's a professional-grade AI-powered color grading suite that brings $1000+ plugin capabilities directly into your ComfyUI workflows.

This node is opinionated about color science - it leverages computer vision, perceptual color spaces, and advanced algorithms to deliver results that rival industry-standard color grading tools.

🤯 The TL;DR

  • 🤖 AI-Powered: Face detection, scene analysis, content-aware enhancement
  • 🎨 Professional: LAB color space, 3-way color correction, perceptual curves
  • ⚡ Real-time: Selective node execution for instant feedback
  • 🎛️ Three Modes: Auto (AI magic), Preset (curated looks), Manual (full control)

✨ Key Features

🤖 AI-Powered Intelligence

  • Face Detection: Automatic skin tone preservation using OpenCV with advanced segmentation
  • Advanced Scene Analysis: Detects anime, concept art, stylized art, detailed illustrations, portraits, and realistic photos
  • Lighting Detection: Low-light, bright, flat, optimal lighting analysis
  • Content-Aware Enhancement: Specialized profiles for artistic content vs. photographic content
  • Edge-Aware Processing: Multi-scale edge detection with detail preservation
  • Advanced Segmentation: SLIC-based skin region detection for precise face enhancement

🎨 Professional Color Science

  • LAB Color Space: Perceptual white balance and color corrections with Bradford chromatic adaptation
  • K-means Analysis: Intelligent dominant color extraction in both RGB and LAB spaces
  • 3-Way Color Corrector: Professional lift/gamma/gain controls
  • Perceptual Curves: Gamma-aware brightness and contrast
  • Advanced Color Matching: Robust reference image color matching with histogram and LAB methods
  • Professional Color Extraction: Brightness-sorted palette generation with perceptual spacing

⚡ Performance & Usability

  • Real-time Preview: Selective node execution (no full workflow runs)
  • Graceful Fallbacks: Works without advanced libraries installed
  • Three Distinct Modes: Each optimized for different use cases
  • Smart UI: Mode-specific controls with intelligent tooltips
  • Visual Outputs: Built-in histogram and color palette image generation
  • Multiple Output Types: Processed image, palette data, histogram image, and palette image

🎛️ The Three Modes

🤖 Auto Mode: AI Magic

"Just make it look amazing"

The AI analyzes your image and applies:

  • Scene-specific enhancement profiles for 6 content types (anime, concept art, stylized art, detailed illustrations, portraits, realistic photos)
  • Intelligent white balance in LAB color space
  • Face-aware skin tone preservation using OpenCV detection
  • Adaptive contrast and saturation with up to 50% boost for concept art
  • Lighting-aware brightness adjustments for low-light, bright, flat, and optimal conditions
  • Enhanced glow effects for artistic content with stronger highlight enhancement

Perfect for: Quick enhancement, artistic content, concept art, anime, batch processing

🎨 Preset Mode: Curated Looks

"Give me that specific vibe"

30 professional presets optimized for both photographic and artistic content:

Portrait Presets (5): Natural, Warm, Cool, High Key, Dramatic
Concept Art & Illustration (6): Epic Fantasy, Sci-Fi Chrome, Dark Fantasy, Vibrant Concept, Matte Painting, Digital Art
Artistic & Stylized (6): Anime Bright, Anime Moody, Cyberpunk, Pastel Dreams, Neon Nights, Comic Book
Cinematic (5): Cinematic, Teal & Orange, Film Noir, Vintage Film, Bleach Bypass
Natural (4): Golden Hour, Blue Hour, Sunny Day, Overcast
Classic (4): Sepia, Black & White, Faded, Moody

AI-Enhanced Features:

  • Content-aware adaptation: Presets automatically adjust based on detected scene type
  • Artistic content boost: Up to 40% enhancement for concept art and illustrations
  • Smart variation: Intelligent randomization that respects the original artistic intent

Perfect for: Consistent styling, concept art workflows, artistic looks, client work

🎛️ Manual Mode: Professional Control

"I know exactly what I want"

Professional-grade tools with AI assistance:

  • 3-way color corrector with artistic content-aware masking (shadows/midtones/highlights)
  • Enhanced controls for artistic content: 25% stronger lift/gain adjustments for concept art
  • Perceptual gamma curves with more dramatic mapping for illustrations
  • Film-like grain with luminance preservation
  • Face-aware protection during manual adjustments
  • LAB color space white balance for professional accuracy

Perfect for: Precision work, concept art finishing, learning color grading, complex corrections


📊 Visual Outputs & Analysis

🖼️ Four Output Types

The node provides four distinct outputs for maximum workflow flexibility:

  1. 📸 Processed Image: Your enhanced/corrected image
  2. 🎨 Palette Data: Comma-separated hex color string for other nodes
  3. 📊 Histogram Image: RGB histogram visualization (512×768px)
  4. 🎨 Palette Image: Clean color swatches visualization (600×120px)

📈 Histogram Visualization

  • Professional RGB histogram with proper scaling and contrast
  • Multi-channel overlay showing red, green, and blue distributions
  • Dark background with subtle grid lines for better readability
  • Connect to Preview Image node to view during processing

🌈 Color Palette Extraction

  • 6 dominant colors extracted using advanced K-means clustering
  • Perceptual LAB-space analysis for better color representation
  • Brightness-sorted arrangement for natural palette flow
  • Clean swatch design without borders or text clutter
  • Connect to Preview Image node for instant palette viewing

🔧 Reference Image Color Matching

  • Robust histogram matching prevents black spots and artifacts
  • Conservative LAB adjustments for natural color transitions
  • Multi-method approach with safe fallbacks
  • Strength control from 0.0 (no effect) to 1.0 (full matching)

🛠️ Installation

cd ComfyUI/custom_nodes
git clone https://github.com/regiellis/ComfyUI-EasyColorCorrection.git
cd ComfyUI-EasyColorCorrection
pip install -r requirements.txt

Manual Install

  1. Download and extract to ComfyUI/custom_nodes/ComfyUI-EasyColorCorrection
  2. Install dependencies:
pip install torch>=1.12.0 numpy>=1.21.0 opencv-python>=4.8.0 scikit-learn>=1.3.0 scikit-image>=0.21.0 colour-science>=0.4.3 scipy>=1.11.0
  1. Restart ComfyUI

Note

: The node works without the advanced libraries, but you'll miss the AI-powered features. Install them for the full experience!


🎮 Usage

Basic Workflow

  1. Add "Easy Color Correction" node to your workflow
  2. Connect an image input
  3. Choose your mode:
    • Auto: Enable AI analysis and let it work its magic
    • Preset: Pick a style and optionally enable AI adaptation
    • Manual: Full control with professional tools
  4. Connect outputs as needed:
    • Main image output → Save Image or further processing
    • Histogram output → Preview Image (to see RGB analysis)
    • Palette output → Preview Image (to see color swatches)
    • Palette data → Text nodes or other color-aware nodes

📊 Enabling Visual Analysis

Enable "Extract Palette" to generate:

  • ✅ RGB histogram visualization
  • ✅ Color palette extraction and visualization
  • ✅ Dominant color analysis in console
  • ✅ Advanced K-means clustering

When disabled, histogram and palette outputs will be black images.

🔥 Pro Tips

  • Enable Real-time Preview for instant feedback (uses selective execution)
  • Keep AI Analysis on unless you need maximum speed
  • Face detection works best with clear, well-lit portraits
  • Try presets first, then fine-tune with manual controls
  • Enable Extract Palette to see histogram and color analysis
  • Use Reference Image for mood board color matching
  • Connect histogram/palette outputs to Preview Image nodes for visual feedback

Example Console Output

🤖 AI Analysis: concept_art scene, good lighting, 0 faces detected
🎨 AI-Enhanced Preset: Epic Fantasy adapted for concept_art/good
🎛️ Professional Manual Mode + AI Guidance (concept_art)
🎨 Extracted color palette: #2A1810,#8B4513,#D2691E,#F4A460,#DEB887,#F5DEB3
🖼️ Histogram and palette images available as separate node outputs

⚙️ Advanced Configuration

AI Analysis Control

ai_analysis: bool = True          # Enable AI-powered features
adjust_for_skin_tone: bool = True # Face detection + skin preservation  
white_balance_strength: 0.6       # LAB color space correction strength
enhancement_strength: 0.8         # Overall AI enhancement power
extract_palette: bool = False     # Generate histogram and palette images

Real-time Preview

realtime_preview: bool = False    # Enable selective node execution
# When enabled: Only processes this node + dependencies
# Result: ~10x faster feedback during adjustments

Performance Modes

  • Full AI: All features enabled (default)
  • Basic Mode: AI analysis disabled for maximum speed
  • Real-time: Selective execution for instant feedback

🧠 The Science Behind It

Computer Vision Pipeline

  1. OpenCV Face Detection: Haar cascade classifiers with SLIC segmentation
  2. K-means Color Analysis: 5-cluster dominant color extraction in RGB and LAB spaces
  3. Edge Density Analysis: Multi-scale edge detection for anime vs. photo classification
  4. Histogram Analysis: Lighting condition detection and RGB distribution analysis
  5. Advanced Segmentation: SLIC superpixel segmentation for precise skin tone detection

Color Science

  1. LAB Color Space: Perceptual uniformity for white balance with Bradford chromatic adaptation
  2. Perceptual Curves: Gamma-aware brightness/contrast with edge preservation
  3. Selective Saturation: Vibrancy that preserves skin tones using advanced masking
  4. 3-Way Correction: Professional lift/gamma/gain masking with artistic content awareness
  5. Advanced Color Matching: Histogram-based and LAB color space reference matching
  6. Professional Palette Extraction: Brightness-sorted dominant colors with perceptual spacing

AI Enhancement Profiles

if scene_type == "concept_art":
    contrast_boost = 0.35 * enhancement_strength
    saturation_boost = 0.5 * enhancement_strength
elif scene_type == "anime":
    contrast_boost = 0.25 * enhancement_strength
    saturation_boost = 0.45 * enhancement_strength
elif scene_type == "portrait":
    # More conservative for faces
    contrast_boost = 0.15 * enhancement_strength
    # + automatic skin warmth boost

🤝 Contributing

Found a bug? Have an idea? Want to add more presets?

  1. Fork the repository
  2. Create a feature branch (git checkout -b amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin amazing-feature)
  5. Open a Pull Request

🎨 Adding New Presets

"Your Preset Name": {
    "warmth": 0.1,      # -1.0 to 1.0
    "vibrancy": 0.3,    # -1.0 to 1.0  
    "contrast": 0.2,    # -1.0 to 1.0
    "brightness": 0.05  # -1.0 to 1.0
}

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.


🙏 Acknowledgments

  • ComfyUI Community for the amazing framework
  • OpenCV for computer vision capabilities
  • Colour Science for professional color space operations
  • scikit-learn for machine learning algorithms

💡 FAQ

Q: Do I need all the dependencies?
A: The node works without them, but you'll miss the AI features. Install them for the full experience!

Q: Is this better than Photoshop?
A: For color correction? It's competitive. For everything else? No. 😄

Q: Can I use this commercially?
A: Yes! MIT license means you can use it however you want.

Q: Why is it called "Easy" when it's so advanced?
A: Because the AI makes professional color grading easy. The complexity is hidden behind intelligent automation.


Made with ❤️ and way too much caffeine

Author: Regi E.
"Making AI-powered color grading accessible to everyone"

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