ComfyUI-Flux-Continuum

ComfyUI-Flux-Continuum
★ 233

界面统一工作流管理资源优化自定义节点
一组用于 ComfyUI Flux Continuum 的自定义节点，提供统一控制界面、智能工作流与资源优化，便于统一调参与模块化实验。
💡 统一控制多个生成模块并智能管理资源与参数
🍴 11 Forks💻 JavaScript🔄 2025-12-04
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📄 README

ComfyUI Flux Continuum – Modular Interface

A modular workflow that brings order to the chaos of image generation pipelines.

📺 Watch the Tutorial

Updates

  • 1.7.0: Enhanced workflow and usability update 📺 Watch Video Update
  • Image Transfer Shortcut: Use Ctrl+Shift+C to copy images from Img Preview to Img Load (customizable in Settings > Keybinding > Image Transfer)
  • Configurable Model Router: Dynamic model selection with customizable JSON mapping for flexible workflows
  • Hint System: Interactive hint nodes provide contextual help throughout the workflow
  • Crop & Stitch: Enhanced inpainting/outpainting with automatic crop and stitch functionality
  • Smart Guidance: Automatic guidance value of 30 for inpainting, outpainting, canny, and depth operations
  • TeaCache Integration: Optional speed boost for all outputs (trades some quality for performance)
  • Improved Preprocessor Preview Logic: CN Input is used for previewing when ControlNet strength > 0, otherwise uses Img Load
  • Workflow Reorganization: Modules reordered for more logical flow
  • Redux Naming: IP Adapter renamed to Redux for consistency with BFL terminology

    • 📋 Older Changelog (Click to expand)

  • 1.6.4: ControlNet Union Pro v2 Update 📺 Watch Video Update
  • ControlNet Union Pro v2: Integrated the new Depth, Canny, OpenPose ControlNets
  • New canny preprocessor control
  • Removed the input preview tab
  • Better upscaling controls
  • New Redux (IPAdapter) implementation

  • Flux Continuum Light 1.0.0:
  • Light version of the workflow with all the basic functions that requires only the FLUX.1-dev model. Download

  • 1.4.2: Black Forest Labs tools update
  • Black Forest Labs tools: Integrated the new Redux, Depth, Canny, Fill models
  • Preview Panel: Preview all your image inputs and masks at a glance
  • Mask Feather Control: Feather the mask using one control
  • Text Versions: Add more tabs via properties
  • New Nodes: *FluxContinuumModelRouter*, *OutputGet*, *OutputGetString*, *OutputTextDisplay*, *DrawTextConfig* and *ConfigurableDrawText*

    • Overview

    ComfyUI Flux Continuum revolutionises workflow management through a thoughtful dual-interface design:

  • Front-end: A consistent control interface shared across all modules
  • Back-end: Powerful, modular architecture for customisation and experimentation

    • ✨ Core Features

    Perfect for creators who want a consistent, streamlined experience across all image generation tasks, while maintaining the power to customize when needed.

  • Unified Control Interface
  • Single set of controls affects all relevant modules
  • Smart guidance adjustment based on operation type
  • Consistent experience across all generation tasks

  • Smart Workflow Management
  • Only activates nodes and models required for current task
  • Toggle between different output types seamlessly
  • Efficiently handles resource allocation
  • Optional TeaCache for speed optimization

  • Universal Model Integration
  • LoRAs, ControlNets and Redux work across all output modules
  • Seamless Black Forest Labs model support
  • Configurable model routing for custom workflows

  • Enhanced Usability
  • Interactive hint system for contextual help
  • Quick image transfer with keyboard shortcut
  • Intelligent preprocessing based on control values
  • Crop & stitch for seamless inpainting/outpainting

    • 🚀 Quick Start

    📺 New to Flux Continuum? Watch the tutorial first

  • Clone repo to the custom nodes folder
    • git clone https://github.com/robertvoy/ComfyUI-Flux-Continuum
  • Download and import the workflow into ComfyUI
  • Install missing custom nodes using the ComfyUI Manager
  • Configure your models in the config panel (press 2 to access)
  • Download any missing models (see Model Downloads section below)
  • Return to the main interface (press 1)
  • Select txt2img from the output selector (top left corner)
  • Run the workflow to generate your first image

    • 🎯 Usage Guide

    Output Selection

    The workflow is controlled by the Output selector in the top-left corner. Select your desired output and all relevant controls will automatically apply.

    Key Controls

    🎨 Main Generation

  • Prompt: Your text description for generation
  • Denoise: Controls strength for img2img operations (0 = no change, 1 = completely new)
  • Steps: Number of sampling steps (higher = more detail, slower)
  • Guidance: How closely to follow the prompt (automatically set to 30 for inpainting/outpainting/canny/depth)
  • TeaCache: Toggle for speed boost (some quality trade-off)

    • 🖼️ Input Images

  • Img Load: Primary image for all img2img operations (inpainting, outpainting, detailer, upscaling)
  • CN Input: Source for ControlNet preprocessing
  • Redux 1-3: Up to 3 reference images for style transfer (use very low strength values)
  • Tip: Use Ctrl+Shift+C to quickly copy from Img Preview to Img Load

    • 🎛️ ControlNet & Redux

  • ControlNets activate when strength > 0
  • When CN strength > 0, preprocessor uses CN Input; otherwise uses Img Load
  • Preview preprocessor results by selecting corresponding output (e.g., “preprocessor canny”)
  • Redux sliders control each Redux input individually (1 = Redux 1, etc.)

    • Recommended ControlNet Values:

  • Canny: Strength=0.7, End=0.8
  • Depth: Strength=0.8, End=0.8
  • Pose: Strength=0.9, End=0.65

    • 🔧 Image Processing

  • Resize, crop, sharpen, color correct, or pad images
  • Preview results with “imgload prep” output
  • Bypass nodes after processing to avoid reprocessing (Ctrl+B)

    • ⬆️ Upscaling

  • Resolution Multiply: Multiplies image resolution after any preprocessing
  • Upscale Model: Choose your upscaling model (recommended: 4xNomos8kDAT)
  • 📺 Watch Upscaling Tutorial

    • 🎯 Workflow Modules

    Main Modules

    All modules use the same unified control interface

    | Module | Description |

    |——–|————-|

    | txt2img | Standard text-to-image generation from prompts |

    | txt2img noise injection | Enhanced detail generation (Learn more) |

    | img2img | Transform existing images with text prompts |

    | inpainting | Edit specific areas with automatic crop & stitch using BFL Fill model |

    | outpainting | Expand images beyond boundaries with smart padding and BFL Fill model |

    | canny | Edge-guided generation using BFL Canny model |

    | depth | Depth-guided generation using BFL Depth model |

    | detailer | Focused refinement using mask selection |

    | ultimate upscaler | Advanced tiled upscaling with full control |

    | upscaler | Simple model-based upscaling |

    Utility Modules

    | Module | Description |

    |——–|————-|

    | imgload prep | Preview processed images after crop/sharpen/resize/padding |

    | preprocessor canny | Preview canny edge detection results |

    | preprocessor depth | Preview depth map generation |

    | preprocessor openpose | Preview pose detection results |

    🔧 Custom Nodes

    *These custom nodes were made specifically for this workflow and are required for it to work*

    Interface Enhancement Nodes

  • Hint Node:
  • Interactive help system throughout the workflow
  • Hover for contextual information
  • Right-click to edit hint content
  • Supports markdown formatting

  • Tabs:
  • Space-saving node organization
  • Add tabs via properties panel
  • Compatible with most nodes
  • Special handling for unsupported nodes

  • Sliders:
  • Suite of pre-configured sliders
  • Optimized ranges and defaults for common operations
  • Includes: Denoise, Step, Guidance, Batch, GPU, ControlNet, Redux, and more

  • OutputGet System:
  • Filters set nodes with prefix Output -
  • OutputTextDisplay: Visual display of selected output
  • OutputGetString: String output for conditional routing

  • Text Versions:
  • Multi-tab text management (default 5 tabs)
  • Add more tabs via properties panel
  • Save different prompt versions
  • Perfect for A/B testing

  • ImageDisplay:
  • Base64 image display on canvas
  • Configurable via properties
  • Useful for reference images

    • Workflow Control Nodes

  • Image Transfer Shortcut:
  • Ctrl+Shift+C copies from Img Preview to Img Load
  • Customizable in ComfyUI keybindings

  • Configurable Model Router:
  • Dynamic model selection with JSON mapping
  • Flexible routing based on conditions
  • Supports lazy loading for efficiency

  • Sampler Parameter Packer/Unpacker:
  • Consolidate sampler settings
  • Tabbed interface for version control

  • Image Batch Boolean:
  • Conditional batch processing
  • Smart second image loading

  • Configurable Draw Text:
  • Advanced text rendering on images
  • Configurable fonts, colors, shadows, alignment

  • Pass Nodes:
  • Extended pass-through for Latent, Pipe, SEGS, and Int data types
  • Maintains data flow integrity

    • 📥 Model Downloads

    Required Models

    unet folder:

  • flux1-dev.safetensors
  • flux1-depth-dev.safetensors
  • flux1-canny-dev.safetensors
  • flux1-fill-dev.safetensors

    • Note: If you don’t use Canny or Depth models, you can bypass their load nodes and skip downloading them.

    vae folder:

  • ae.safetensors

    • clip folder:

  • t5xxl_fp8_e4m3fn.safetensors
  • clip_l.safetensors

    • style_models folder:

  • flux1-redux-dev.safetensors

    • clip_vision folder:

  • sigclip_vision_patch14_384.safetensors

    • controlnet/FLUX folder:

  • FLUX.1-dev-ControlNet-Union-Pro-2.0.safetensors *(rename file)*

    • 🔜 Coming Soon

  • Multi-GPU Support: Distributed processing across multiple GPUs

    • 🙏 Acknowledgments

    Special thanks to the creators of these essential custom node packs:

  • rgthree ComfyUI Extensions
  • ComfyUI Essentials
  • ComfyUI Impact Pack
  • ComfyUI KJNodes