ComfyUI-KikoTools

A modular collection of essential custom ComfyUI nodes missing from the standard release.

ComfyUI-KikoTools provides carefully crafted, production-ready nodes grouped under the "ComfyAssets" category. Each tool is designed with clean interfaces, comprehensive testing, and optimized performance for SDXL and FLUX workflows.

🚀 Features

✨ Current Tools

Tool	Description	Category
📐 Resolution Calculator	Calculate upscaled dimensions with model optimization	Image Processing
📏 Width Height Selector	Preset-based dimension selection with visual swap	Dimension Control
🎲 Seed History	Advanced seed tracking with interactive history	Generation Control
⚙️ Sampler Combo	Unified sampling configuration interface	Sampling
📦 Empty Latent Batch	Create empty latent batches with preset support	Latent Generation
💾 Kiko Save Image	Enhanced image saving with popup viewer	File Management
📋 Display Text	Smart text display with prompt detection	Text Display
🤖 Gemini Prompt Engineer	AI-powered image analysis and prompt generation	AI Integration
🔍 Display Any	Universal debugging tool for any data type	Debugging
🖼️ Image to Multiple Of	Adjust dimensions to multiples for compatibility	Image Processing

📐 Resolution Calculator

Calculate upscaled dimensions from image or latent inputs with precision.

• Smart Input Handling: Works with both IMAGE and LATENT tensors
• Model Optimized: Specific optimizations for SDXL (~1MP) and FLUX (0.2-2MP) models
• Constraint Enforcement: Automatically ensures dimensions divisible by 8
• Flexible Scaling: Supports scale factors from 1.0x to 8.0x with 0.1 precision
• Aspect Ratio Preservation: Maintains original proportions during scaling

Use Cases:

• Calculate target dimensions for upscaler nodes
• Plan memory usage for large generations
• Ensure ComfyUI tensor compatibility
• Optimize batch processing workflows

📏 Width Height Selector

Advanced preset-based dimension selection with visual swap button.

• 26 Curated Presets: SDXL, FLUX, and Ultra-Wide optimized resolutions
• Smart Categories: Organized by model type and aspect ratio
• Visual Swap Button: Modern blue button for quick orientation changes
• Intelligent Swapping: Preset-aware orientation switching
• Custom Support: Manual dimension input with validation

Use Cases:

• Quick dimension selection for different models
• Consistent aspect ratios across workflows
• Mobile and ultra-wide format support
• Integration with upscaling pipelines

🎲 Seed History

Advanced seed tracking with interactive history management and UI.

• Automatic Tracking: Monitors all seed changes with timestamps
• Interactive History: Click any historical seed to reload instantly
• Smart Deduplication: 500ms window prevents duplicate rapid additions
• Persistent Storage: History survives browser sessions and ComfyUI restarts
• Auto-Hide UI: Clean interface that hides after 2.5 seconds of inactivity
• Visual Feedback: Toast notifications and selection highlighting

Use Cases:

• Track promising seeds during creative exploration
• Quickly return to successful generation parameters
• Maintain reproducibility across sessions
• Compare results from different seeds efficiently

![Seed History functionality is shown in various workflow examples]

⚙️ Sampler Combo

Unified sampling configuration interface combining sampler, scheduler, steps, and CFG.

• All-in-One Interface: Single node for complete sampling configuration
• Smart Recommendations: Optimal settings suggestions per sampler type
• Compatibility Validation: Ensures sampler/scheduler combinations work well
• Intelligent Defaults: Context-aware parameter recommendations
• Range Validation: Prevents invalid parameter combinations
• Comprehensive Tooltips: Detailed guidance for each parameter

Use Cases:

• Simplify complex sampling workflows
• Ensure optimal sampler/scheduler combinations
• Reduce node clutter in workflows
• Quick sampling parameter experimentation

📦 Empty Latent Batch

Advanced empty latent creation with preset support and batch processing capabilities.

• Preset Integration: 26 curated resolution presets with model optimization
• Batch Processing: Create multiple empty latents (1-64) in a single operation
• Visual Swap Button: Interactive blue button for quick dimension swapping
• Smart Validation: Automatic dimension sanitization for VAE compatibility
• Memory Estimation: Built-in memory usage calculation and warnings
• Model-Aware Presets: SDXL (~1MP), FLUX (high-res), and Ultra-wide options

Use Cases:

• Initialize batch processing workflows efficiently
• Create consistent latent dimensions across model types
• Optimize memory usage with batch size planning
• Quick preset-based latent generation for different aspect ratios

💾 Kiko Save Image

Enhanced image saving with format selection, quality control, and floating popup viewer.

• Multiple Format Support: Save as PNG, JPEG, or WebP with format-specific optimizations
• Advanced Quality Controls: JPEG/WebP quality (1-100), PNG compression (0-9), WebP lossless mode
• Floating Popup Viewer: Draggable, resizable window that shows saved images immediately
• Interactive Previews: Click any image to open in new tab, download individual images
• Batch Selection: Multi-select images for bulk actions (open all, download all)
• Format-Specific Settings: Quality indicators, file size display, compression info
• Smart UI: Auto-hide/show, minimize/maximize, roll-up functionality
• Popup Toggle: Enable/disable popup viewer per save operation

📋 Display Text

Advanced text display node with intelligent formatting and enhanced user interaction.

• Smart Prompt Detection: Automatically detects positive/negative prompt pairs and displays in split view
• Text Wrapping: Proper word wrapping that reflows when node is resized
• Scrollable Content: Mouse wheel scrolling for long texts with visual scroll indicators
• Copy Functionality: Always-visible copy button with visual feedback
• Split View Mode: Automatic detection and formatting of SDXL-style prompts
• Responsive Design: Content adapts to node resizing with proper text reflow
• Clean Formatting: Strips prompt labels when copying for direct use

Use Cases:

• Display generated prompts with proper formatting
• Compare positive and negative prompts side-by-side
• Copy prompts without manual label removal
• View long text content with proper wrapping
• Debug prompt generation workflows

🤖 Gemini Prompt Engineer

AI-powered image analysis using Google's Gemini to generate optimized prompts for various models.

• Multi-Model Support: Generate prompts for FLUX, SDXL, Danbooru, and Video generation
• Smart Analysis: Gemini analyzes composition, style, lighting, colors, and details
• Format-Specific Output: FLUX artistic prompts, SDXL positive/negative pairs, Danbooru tags, Video motion descriptions
• Custom System Prompts: Override templates with your own analysis instructions
• Flexible API Key Management: Environment variable, config file, or direct input
• Visual Status Feedback: Real-time processing indicators and error states
• Help Integration: Built-in setup guide and documentation
• Dynamic Model Refresh: Fetch latest Gemini models with refresh button
• Model Caching: Persistent model list storage for offline access
• Enhanced SDXL Prompts: Improved formatting with layered structure and quality boosters

Use Cases:

• Reverse-engineer prompts from reference images
• Convert artistic descriptions between different AI model formats
• Generate consistent style descriptions across workflows
• Create detailed scene breakdowns for complex compositions
• Analyze and replicate lighting/mood from existing artwork
• Access latest Gemini models including 2.0 and 2.5 versions

🔍 Display Any

Universal debugging node that displays any type of input value or tensor information.

• Universal Input Acceptance: Works with any data type (tensors, strings, numbers, lists, dicts)
• Two Display Modes: Raw value showing string representation, or tensor shape extraction
• Nested Structure Support: Finds tensors within complex nested data structures
• Debugging Focus: Essential tool for understanding data flow and tensor dimensions
• Clean Output: Formatted display directly in ComfyUI interface

Use Cases:

• Debug tensor dimensions at any point in workflow
• Inspect latent space data structures
• View metadata and configuration objects
• Track shape changes through processing nodes
• Understand complex data types in ComfyUI

🖼️ Image to Multiple Of

Adjusts image dimensions to be multiples of a specified value for model compatibility.

• Dimension Adjustment: Ensures image dimensions are multiples of specified value (e.g., 64, 128)
• Two Processing Methods: Center crop for minimal loss, or rescale to fit
• Model Compatibility: Essential for models requiring specific dimension constraints
• Flexible Multiple Values: Support from 1 to 256 with 16-step increments
• Preserves Quality: Smart processing maintains image quality

Use Cases:

• Prepare images for VAE encoding (multiple of 8 requirement)
• Ensure compatibility with specific model architectures
• Standardize dimensions across image batches
• Fix dimension errors in complex workflows
• Optimize for tiled processing requirements

💾 Kiko Save Image Features

Use Cases:

• Quick preview and management of saved images without file browser navigation
• Compare multiple format outputs side-by-side (PNG vs JPEG vs WebP)
• Batch download or open selected images efficiently
• Monitor file sizes and compression effectiveness in real-time
• Streamlined workflow for iterative image generation and saving

Why Better Than Standard Save Image:

• Immediate Visual Feedback: See your saved images instantly without opening file explorer
• Multi-Format Flexibility: Choose optimal format for your use case (PNG for quality, JPEG for size, WebP for modern efficiency)
• Advanced Compression Control: Fine-tune file sizes with format-specific quality settings
• Batch Operations: Handle multiple images efficiently with selection and bulk actions
• Modern UI: Floating, draggable interface that doesn't interrupt your workflow
• Smart Memory Usage: File size indicators help optimize storage and sharing
• One-Click Access: Direct image opening in browser tabs for quick sharing or review

🔧 Architecture Highlights

• Modular Design: Each tool is self-contained and independently testable
• Test-Driven Development: 100% test coverage with comprehensive unit tests
• Clean Interfaces: Standardized input/output patterns across all tools
• Separation of Concerns: Clear distinction between logic, UI, and integration layers
• SOLID Principles: Extensible architecture following software engineering best practices

📦 Installation

ComfyUI Manager (Recommended)

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

Manual Installation

cd ComfyUI/custom_nodes/
git clone https://github.com/ComfyAssets/ComfyUI-KikoTools.git
cd ComfyUI-KikoTools
pip install -r requirements-dev.txt

Restart ComfyUI and look for ComfyAssets nodes in the node browser.

🎯 Quick Start

Resolution Calculator Example

Image Loader → Resolution Calculator → Upscaler
             ↘ scale_factor: 1.5    ↗

Input: 832×1216 (SDXL portrait format) Scale: 1.5x Output: 1248×1824 (ready for upscaling)

Width Height Selector Example

Width Height Selector → EmptyLatentImage → Model
preset: "1920×1080"   ↘ 1920×1080      ↗
[swap button]

Preset: FLUX HD (1920×1080) Output: 1920×1080 (16:9 cinematic) Swap Button: Click to get 1080×1920 (9:16 portrait)

Seed History Example

Seed History → KSampler → VAE Decode → Save Image
🎲 12345    ↘ seed    ↗
[History UI: 54321, 99999, 11111...]

Current Seed: 12345 History: Auto-tracked previous seeds with timestamps Interaction: Click any historical seed to reload instantly

Sampler Combo Example

Sampler Combo → KSampler → VAE Decode → Save Image
⚙️ All Settings ↘ sampler/scheduler/steps/cfg ↗

Configuration: euler, normal, 20 steps, CFG 7.0 Output: Complete sampling configuration in one node Smart Features: Recommendations and compatibility validation

Empty Latent Batch Example

Empty Latent Batch → KSampler → VAE Decode → Kiko Save Image
📦 preset: "1024×1024" ↘ batch latents ↗                ↘ popup viewer ↗
   batch_size: 4
   [swap button]

Preset: SDXL Square (1024×1024) Batch Size: 4 empty latents Output: 4×4×128×128 latent tensor ready for sampling Swap Button: Click to switch to any available swapped preset

Kiko Save Image Example

Generate Image → Kiko Save Image → Floating Popup Viewer
📷 output       ↘ format: WEBP   ↘ draggable window ↗
                  quality: 85
                  [popup: enabled]

Format: WebP (efficient compression, modern format) Quality: 85% (balanced size/quality) Popup Viewer: Floating, draggable window with saved images Features: Click images to open in new tabs, download individual files, batch selection Advantages: Immediate preview without file explorer, multi-format comparison, advanced quality controls

Display Text Example

Gemini Prompt → Display Text → Copy to Clipboard
📋 SDXL prompt ↘ auto-split  ↘ [📋 Positive] [📋 Negative]
                view          → formatted display

Input: Text with "Positive prompt:" and "Negative prompt:" sections Output: Split view with individual copy buttons Features: Text wrapping, scrolling, responsive resizing Smart Detection: Automatically formats SDXL-style prompts

Gemini Prompt Engineer Example

Load Image → Gemini Prompt → Display Text → Text Generation Model
🖼️ reference ↘ type: SDXL   ↘ split view  ↘ "detailed portrait..."
               [Refresh Models]             → SDXL model

Input: Reference image for style analysis Prompt Type: SDXL (positive/negative pairs with layered structure) Model Selection: Dynamic list with latest Gemini models (2.0, 2.5) Output: Optimized prompts following community best practices API: Requires Gemini API key (free tier available) Refresh: Click button to fetch latest available models

Display Any Example

Any Node → Display Any → Debug Output
🔍 tensor  ↘ mode: shape ↘ "[[1, 3, 512, 512]]"

Input: Any data type (image, latent, config, etc.) Mode: "raw value" or "tensor shape" Output: Formatted display of value or tensor dimensions Use Case: Debug workflows, inspect data structures

Image to Multiple Of Example

Load Image → Image to Multiple Of → VAE Encode → KSampler
🖼️ 513×769  ↘ multiple: 64    ↘ 512×768     → latent
              method: crop

Input: Image with arbitrary dimensions Multiple Of: 64 (common for VAE compatibility) Method: "center crop" or "rescale" Output: Adjusted image with compatible dimensions

Common Workflows

SDXL Portrait Upscaling

{
  "workflow": "Load SDXL portrait → Calculate 1.5x dimensions → Feed to upscaler",
  "input_resolution": "832×1216",
  "scale_factor": 1.5,
  "output_resolution": "1248×1824",
  "memory_efficient": true
}

FLUX Batch Processing

{
  "workflow": "Generate latents → Calculate target size → Batch upscale",
  "input_resolution": "1024×1024",
  "scale_factor": 2.0,
  "output_resolution": "2048×2048",
  "batch_optimized": true
}

📚 Documentation

Available Tools

Tool	Description	Status	Documentation
Resolution Calculator	Calculate upscaled dimensions with model optimization	✅ Complete	Docs
Width Height Selector	Preset-based dimension selection with 26 curated options	✅ Complete	Docs
Seed History	Advanced seed tracking with interactive history management	✅ Complete	Docs
Sampler Combo	Unified sampling configuration with smart recommendations	✅ Complete	Docs
Empty Latent Batch	Create empty latent batches with preset support	✅ Complete	Docs
Kiko Save Image	Enhanced image saving with popup viewer and multi-format support	✅ Complete	Docs
Display Text	Advanced text display with smart prompt detection and split view	✅ Complete	Docs
Gemini Prompt Engineer	AI-powered image analysis with dynamic model refresh	✅ Complete	Docs
Display Any	Universal debugging tool for any data type or tensor shapes	✅ Complete	Docs
Image to Multiple Of	Adjust image dimensions to multiples for model compatibility	✅ Complete	Docs
Batch Image Processor	Process multiple images with consistent settings	🚧 Planned	Coming Soon
Advanced Prompt Utilities	Enhanced prompt manipulation and generation	🚧 Planned	Coming Soon

Technical Specifications

Resolution Calculator

Inputs:

• scale_factor (FLOAT): 1.0-8.0, default 2.0
• image (IMAGE, optional): Input image tensor
• latent (LATENT, optional): Input latent tensor

Outputs:

• width (INT): Calculated target width
• height (INT): Calculated target height

Constraints:

• All outputs divisible by 8 (ComfyUI requirement)
• Preserves aspect ratio
• Validates input tensors
• Graceful error handling

Width Height Selector

Inputs:

• preset (DROPDOWN): 26 preset options + custom
• width (INT): 64-8192, step 8, default 1024
• height (INT): 64-8192, step 8, default 1024

Outputs:

• width (INT): Selected or calculated width
• height (INT): Selected or calculated height

UI Features:

• Visual blue swap button in bottom-right corner
• Intelligent preset switching when swapping
• Modern hover effects and cursor feedback

Preset Categories:

• SDXL Presets (9): 1024×1024 to 1536×640 (~1MP optimized)
• FLUX Presets (8): 1920×1080 to 1152×1728 (high resolution)
• Ultra-Wide (8): 2560×1080 to 768×2304 (modern ratios)

Seed History

Inputs:

• seed (INT): 0 to 18,446,744,073,709,551,615, default 12345

Outputs:

• seed (INT): Validated and processed seed value

UI Features:

• Interactive history display with timestamps
• Generate random seed button (🎲 Generate)
• Clear history button (🗑️ Clear)
• Auto-hide after 2.5 seconds of inactivity
• Click-to-restore hidden history

History Management:

• Maximum 10 entries for optimal performance
• Smart deduplication with 500ms window
• Persistent localStorage storage
• Newest entries displayed first
• Human-readable time formatting (5m ago, 2h ago)

Sampler Combo

Inputs:

• sampler_name (DROPDOWN): Available ComfyUI samplers (euler, dpmpp_2m, etc.)
• scheduler (DROPDOWN): Available schedulers (normal, karras, exponential, etc.)
• steps (INT): 1-1000, default 20
• cfg (FLOAT): 0.0-30.0, default 7.0

Outputs:

• sampler_name (STRING): Selected sampler algorithm
• scheduler (STRING): Selected scheduler algorithm
• steps (INT): Validated step count
• cfg (FLOAT): Validated CFG scale

Features:

• Smart parameter validation and sanitization
• Sampler-specific recommendations for optimal settings
• Compatibility checking between samplers and schedulers
• Graceful error handling with safe defaults
• Comprehensive tooltips for user guidance

Empty Latent Batch

Inputs:

• preset (DROPDOWN): 26 preset options + custom with formatted metadata display
• width (INT): 64-8192, step 8, default 1024
• height (INT): 64-8192, step 8, default 1024
• batch_size (INT): 1-64, default 1

Outputs:

• latent (LATENT): Batch of empty latent tensors in ComfyUI format
• width (INT): Final sanitized width (divisible by 8)
• height (INT): Final sanitized height (divisible by 8)

UI Features:

• Visual blue swap button with hover and click feedback
• Intelligent preset switching when swapping dimensions
• Memory usage estimation and warnings for large batches
• Auto-update width/height widgets when presets change

Batch Processing:

• Creates tensors with shape: [batch_size, 4, height//8, width//8]
• Efficient memory allocation with torch.zeros
• Validates batch size limits (1-64) with performance warnings
• Compatible with all ComfyUI latent processing nodes

Preset Integration:

• Full access to 26 curated resolution presets from Width Height Selector
• Model-aware categorization (SDXL, FLUX, Ultra-wide)
• Formatted display with aspect ratio and megapixel information
• Intelligent fallback to custom dimensions for invalid presets

Kiko Save Image

Inputs:

• images (IMAGE): Batch of images to save
• filename_prefix (STRING): Prefix for saved filenames, default "KikoSave"
• format (DROPDOWN): Output format (PNG, JPEG, WEBP), default PNG
• quality (INT): JPEG/WebP quality (1-100), default 90
• png_compress_level (INT): PNG compression level (0-9), default 4
• webp_lossless (BOOLEAN): Use lossless WebP compression, default False
• popup (BOOLEAN): Enable popup viewer window, default True

Outputs:

• UI: Enhanced image preview data with popup viewer functionality

UI Features:

• Floating, draggable popup window showing saved images immediately
• Interactive image grid with click-to-open functionality
• Individual image download buttons with format-specific quality indicators
• Batch selection with multi-select checkboxes for bulk operations
• Window controls: minimize, maximize, roll-up, close, and dragging
• Auto-hide/show behavior with smart positioning

Format Support:

• PNG: Lossless compression with metadata preservation, configurable compression levels
• JPEG: Quality-controlled lossy compression with automatic transparency handling
• WebP: Modern format with both lossy and lossless modes, superior compression ratios

Advanced Features:

• File size monitoring and display for optimization feedback
• Format-specific quality indicators (PNG compression level, JPEG/WebP quality percentage)
• Smart filename sanitization with timestamp-based uniqueness
• Persistent popup viewer across multiple save operations
• Toggle button integration in node UI for manual viewer control

🛠️ Development

Prerequisites

• Python 3.8+
• ComfyUI installation
• PyTorch 2.0+

Development Setup

# Clone the repository
git clone https://github.com/ComfyAssets/ComfyUI-KikoTools.git
cd ComfyUI-KikoTools

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -r requirements-dev.txt

# Install pre-commit hooks
pre-commit install

# Run tests
python -c "
import sys, os
sys.path.insert(0, os.getcwd())
from kikotools.tools.resolution_calculator.node import ResolutionCalculatorNode
import torch

# Quick test
node = ResolutionCalculatorNode()
result = node.calculate_resolution(2.0, image=torch.randn(1, 512, 512, 3))
print(f'✅ Development setup successful! Test result: {result[0]}x{result[1]}')
"

Code Quality

We maintain high code quality standards with automated pre-commit hooks:

Pre-commit Hooks

Our pre-commit configuration automatically runs:

• Black: Code formatting (127 char line length)
• Flake8: Linting and style checks
• Bandit: Security vulnerability scanning
• detect-secrets: Prevents accidental secret commits
• File checks: trailing whitespace, YAML validation, merge conflicts

# Run all pre-commit hooks manually
pre-commit run --all-files

# Update hooks to latest versions
pre-commit autoupdate

Manual Code Quality Checks

# Format code
black .

# Lint code
flake8 .

# Type checking
mypy .

# Run all quality checks
make quality-check  # If Makefile exists

Testing Philosophy

Following Test-Driven Development (TDD):

1. Write Tests First: Define expected behavior before implementation
2. Red-Green-Refactor: Fail → Pass → Improve cycle
3. Comprehensive Coverage: Unit, integration, and scenario testing
4. Real-World Validation: Test with actual ComfyUI workflows

# Test structure
tests/
├── unit/                    # Individual component tests
├── integration/            # ComfyUI workflow tests
└── fixtures/              # Test data and workflows

Adding New Tools

1. Plan: Define tool purpose, inputs, outputs in plan.md
2. Test: Write comprehensive tests following TDD
3. Implement: Build tool logic with proper validation
4. Integrate: Create ComfyUI node interface
5. Document: Add usage examples and workflows
6. Validate: Test in real ComfyUI environment

See our Contributing Guide for detailed instructions.

🤝 Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Development Principles

• KISS: Keep It Simple, Stupid
• Separation of Concerns: Clear module boundaries
• DRY: Don't Repeat Yourself
• SOLID: Object-oriented design principles
• TDD: Test-driven development

Reporting Issues

Please use GitHub Issues with:

• ComfyUI version
• Tool/node name
• Expected vs actual behavior
• Minimal reproduction steps
• Error logs if applicable

📄 License

MIT License - see LICENSE file for details.

🏷️ Tags

comfyui custom-nodes image-processing ai-tools sdxl flux upscaling resolution batch-processing python pytorch

🔗 Links

• ComfyUI: https://github.com/comfyanonymous/ComfyUI
• Documentation: examples/documentation/
• Example Workflows: examples/workflows/
• Issue Tracker: GitHub Issues

📈 Stats

• Nodes: 10 (Resolution Calculator, Width Height Selector, Seed History, Sampler Combo, Empty Latent Batch, Kiko Save Image, Display Text, Gemini Prompt Engineer, Display Any, Image to Multiple Of)
• Format Support: 3 (PNG, JPEG, WebP with advanced controls)
• Presets: 26 curated resolution presets
• Interactive Features: 6 (Width/Height Swap Button, Seed History UI, Empty Latent Batch Swap Button, Kiko Save Image Popup Viewer, Display Text Split View, Gemini Model Refresh)
• AI Integration: Gemini API with 40+ model support
• Test Coverage: 100% (200+ comprehensive tests)
• Python Version: 3.8+
• ComfyUI Compatibility: Latest
• Dependencies: Minimal (PyTorch, NumPy, Pillow, google-generativeai for Gemini)

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