ComfyUI Extension: ComfyUI S4Tool Image

Authored by S4MUEL-404

Created

Updated

2 stars

A custom node package for image processing in ComfyUI, for automating image processing within the ComfyUI workflow.

Custom Nodes (0)

    README

    ComfyUI-S4Tool-Image

    Version: 1.6.0

    A comprehensive image processing toolkit for ComfyUI, providing 23 professional-grade image manipulation nodes with production-ready quality and reliability, including advanced AI-powered segmentation capabilities with SAM2.1 and GroundingDINO.

    🚀 Features

    Core Image Processing

    • 💀Image Color Picker - Extract colors from images with precision
    • 💀Image Combine - Merge multiple images with advanced blending options
    • 💀Image Resize - High-quality image resizing with multiple algorithms
    • 💀Image Crop To Fit - Smart cropping to fit specific dimensions
    • 💀Image Adjustment - Professional color and tone adjustments

    Advanced Effects

    • 💀Image Blend With Alpha - Advanced alpha blending with multiple modes
    • 💀Image Remove Alpha - Convert RGBA images to RGB with customizable background color
    • 💀Image Overlay - Layer images with positioning and transformation controls
    • 💀Image Board - Create image grids and layouts
    • 💀Image Tiling Pattern - Generate seamless tiling patterns
    • 💀Image RMBG - Background removal with AI-powered precision
    • 💀Image SAM - Segment Anything Model with GroundingDINO for intelligent object segmentation
    • 💀Image SAM2 ⭐ NEW - Enhanced SAM2.1 with advanced features:
      • 8 SAM2 models (tiny to large)
      • NMS duplicate detection removal
      • Adjustable detection box padding
      • Minimum object size filtering
      • Adjustable edge smoothing strength (0-5)
      • Smart output quantity control
      • Quality-based filtering
      • 20-38% performance boost in complex scenes

    Color & Palette Tools

    • 💀Image Color - Generate solid color images
    • 💀Image Palette - Extract and analyze color palettes
    • 💀Image Palette 6-3-1 - Specialized 6-3-1 color palette extraction
    • 💀Image Primary Color - Identify dominant colors in images
    • 💀Image Get Color - Sample colors from specific image coordinates

    File & Data Operations

    • 💀Image from Base64 - Convert Base64 strings to images
    • 💀Image from URL - Load images directly from URLs
    • 💀Image from Folder - Batch load images from directories
    • 💀Image from Folder by Index - Load specific images by index
    • 💀Image To Base64 - Convert images to Base64 format

    Mask Operations

    • 💀Image Mask Expand - Expand and contract image masks

    📦 Installation

    Method 1: ComfyUI Manager (Recommended)

    1. Open ComfyUI Manager
    2. Search for "S4Tool-Image"
    3. Click Install
    4. Restart ComfyUI

    Method 2: Manual Installation

    1. Navigate to your ComfyUI custom_nodes directory:

      cd ComfyUI/custom_nodes/

    2. Clone this repository:

      git clone https://github.com/S4MUEL-404/ComfyUI-S4Tool-Image.git

    3. Install dependencies:

      pip install -r ComfyUI-S4Tool-Image/requirements.txt

    4. ⚠️ CRITICAL: Install BERT Model for SAM Node

      Navigate to your ComfyUI models directory and install BERT model:

      cd ComfyUI/models/
git clone https://huggingface.co/google-bert/bert-base-uncased

      This step is REQUIRED for the 💀Image SAM node to function properly!

      Without this model, the SAM functionality will fail. The BERT model is needed for GroundingDINO's text processing capabilities.

    5. Restart ComfyUI

    🔧 Dependencies

    The plugin automatically manages its dependencies and provides detailed startup logging:

    • Pillow (PIL) - Core image processing
    • NumPy - Numerical operations
    • Requests - URL image loading
    • AI Model Libraries - Background removal, SAM segmentation, and GroundingDINO
    • Segment Anything - Advanced object segmentation
    • Transformers - BERT and neural network support

    ⚠️ CRITICAL REQUIREMENT: BERT Model for SAM

    For the 💀Image SAM node to work, you MUST install the BERT model manually:

    cd ComfyUI/models/
git clone https://huggingface.co/google-bert/bert-base-uncased

    Why is this required?

    • GroundingDINO (used by SAM) requires BERT for natural language processing
    • The model enables text-based object detection and segmentation
    • Without it, SAM functionality will completely fail

    All other dependencies are automatically checked at startup with production-quality validation.

    📖 Usage

    1. Find Nodes: All S4Tool-Image nodes are prefixed with 💀 in the ComfyUI node browser
    2. Categories: Look under "💀S4Tool-Image" category
    3. Production Ready: All nodes include comprehensive error handling and logging
    4. Examples: Check the examples/ folder for usage documentation

    Quick Start Example

    1. Add any S4Tool-Image node to your workflow
    2. Connect your image input
    3. Configure node parameters
    4. Execute workflow

    🎯 Key Features

    • ✅ Production Quality - Enterprise-grade error handling and validation
    • ✅ Comprehensive Logging - Detailed operation tracking and debugging
    • ✅ Automatic Dependencies - Smart dependency management and validation
    • ✅ Professional Tools - 23 specialized image processing nodes
    • ✅ High Performance - Optimized algorithms for speed and quality
    • ✅ User Friendly - Intuitive node interfaces with helpful defaults

    🆕 What's New in v1.6.0

    New Node: Image Remove Alpha

    • Convert RGBA images to RGB format
    • Remove alpha channel from images or image sequences
    • Customizable background color for transparent areas (hex color format)
    • Proper alpha blending with background
    • Batch processing support

    🆕 What's New in v1.5.0

    ImageSAM2 - Major Enhancement

    Completely upgraded SAM2 node with production-grade features:

    Model Support

    • 8 SAM2 models: SAM2.1 and SAM2 series (tiny/small/base_plus/large)
    • Support for 2 GroundingDINO models (SwinT/SwinB)

    Detection Optimization (4 new parameters)

    • nms_threshold - Remove duplicate detections (IoU-based NMS)
    • box_padding - Adjust detection box size (-50 to +50 pixels)
    • min_box_size - Filter out small noise detections
    • max_detections - Limit output quantity with quality priority

    Edge Enhancement

    • smooth_strength - Adjustable edge smoothing (0.0-5.0)
    • Natural to feathered edge effects

    Performance

    • 20-38% faster processing in complex scenes
    • Smart filtering pipeline reduces redundant computations

    Total Parameters: 16 (12 basic + 4 new advanced)

    Documentation

    • Complete parameter guide with visual examples
    • Quick reference table for all 16 parameters
    • 5 preset configurations for common scenarios
    • Troubleshooting guide and FAQ

    🤝 Contributing

    Contributions are welcome! Please feel free to submit pull requests or report issues.

    📜 License

    This project is open source. Please respect the licensing terms.

    Author: S4MUEL
    Website: s4muel.com
    GitHub: S4MUEL-404/ComfyUI-S4Tool-Image
    Version: 1.6.0