ComfyUI Flux Continuum - Modular Interface

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

Overview

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

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

Key Benefits

• 🎛️ Unified Controls: Same controls work across different modules

  • Adjust denoise, steps, and other parameters from one place
  • Controls intelligently affect only relevant modules
  • No more juggling separate controls for each module

• 🔄 Smart Workflow Management

  • Switch between modules while maintaining your settings
  • Only activates nodes required for your current task
  • Seamlessly integrate LoRAs and ControlNets across all modules

• 🛠️ Flexible Architecture

  • Tinker with modules in the back-end
  • Focus on creation in the front-end
  • Easily extend with new modules

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

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🚀 Quick Start

1. Download and import the workflow into ComfyUI
2. Install required custom nodes using the ComfyUI Manager
3. Configure your models in the config panel (press 2 to access)
4. Download any missing models
5. Return to the main interface (press 1)
6. Select txt2img from the output selector (top left corner)
7. Run the workflow to generate your first image

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✨ Core Features

• Efficient Multi-purpose Workflow

  • One interface controls multiple modules
  • Toggle between different output types seamlessly
  • Only activates nodes needed for current output

• Unified Controls

  • Single set of controls affects all relevant modules
  • Controls automatically adapt to module context
  • Example: denoise slider works for img2img but not txt2img

• Universal LoRA & ControlNet Support

  • Works across all output modules
  • Same LoRA controls affect any output type
  • Consistent ControlNet integration across modules

• Modular Architecture

  • Clear separation between front-end and back-end
  • Easily extendable with new modules
  • Customize back-end without affecting front-end controls

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🎯 Workflow Modules

Main Modules

All modules use the same unified control interface

| Module | Description | |--------|-------------| | txt2img | Standard text-to-image generation. Generate images from prompts and tags | | txt2img noise injection | Enhanced detail generation (Learn more) | | img2img | Load your image in the top-right corner and adjust the Denoise slider | | inpainting | Mask-based image editing with automatic ControlNet integration (set denoise to 1.0 to enable) | | outpainting | Expand images beyond their boundaries with controllable padding. Adjust padding areas with the pad node. Preview by running the workflow with imgload prep output selected. Uses the inpainting ControlNet. | | detailer | Focused refinement using mask selection. Use the Img Mask tab to create/load mask | | ultimate upscaler | Advanced upscaling. Use Upscale Model picker, Denoise slider, and Resolution Multiple slider | | upscaler | Simple model-based upscaling. Choose model and adjust the Resolution Multiple slider for size. |

Utility Modules

| Module | Description | |--------|-------------| | imgload prep | Preview processed images after crop/sharpen/resize/padding | | preprocessor | Preview ControlNet preprocessor outputs (requires ControlNet slider strength > 0) |

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🔧 Custom Nodes

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

Interface Enhancement Nodes

• Tabs:

  • Space-saving node organization
  • Compatible with most nodes
  • Special handling for unsupported nodes (e.g., Rgthree) using dual-tab workaround

• Sliders:

  • Suite of 6 pre-configured sliders
  • Optimized ranges and defaults for common operations
  • Seamless integration with Flux workflow

• Text Versions:

  • 5-tab text management system for prompt organization
  • Save different versions of your prompt/text
  • Great for experimenting or using the detailer/inpainting

• ImageDisplay Extension:

  • Displays Base64 images directly on canvas
  • Configurable via properties panel
  • Use sparingly to maintain optimal file size

Parameter Management Nodes

• Sampler Parameter Packer: Consolidates sampler settings with tabbed interface

• Sampler Parameter Unpacker: Extracts packed parameters for workflow integration

• Value Pass: An extension of ComfyUI-KJNodes pass-through functionality for Latent, Pipe, and SEGS data

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Shoutout to these custom node packs for making this workflow possible:

• https://github.com/rgthree/rgthree-comfy
• https://github.com/cubiq/ComfyUI_essentials
• https://github.com/ltdrdata/ComfyUI-Impact-Pack
• https://github.com/kijai/ComfyUI-KJNodes

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🔜 Coming Soon

• Video tutorial on how to use the workflow
• Video tutorial on how to add new modules
• Multi GPU support