FLUX Continuum (Modular Interface for ComfyUI) — v1.7.0

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

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

📥 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)

Text encoder · Hugging Face · comfyanonymous/flux_text_encoders · Flux Text Encoders