✨ FLUX — ControlNet — Simple Workflow

A clean, all-in-one FLUX image-to-image ControlNet workflow built entirely with the UmeAiRT Toolkit for ComfyUI.
Only 8 nodes. No spaghetti wires. Just load your model, write your prompt, and hit generate.

⚠️ IMPORTANT — Nodes 2.0 Required

This workflow is built for the Nodes 2.0 (Vue) interface of ComfyUI. If you don't enable it, the workflow may have display problems.

How to activate Nodes 2.0:

Open ComfyUI
Go to Settings (⚙️ icon, bottom-left)
Find "Use Nodes V2 (Vue)" and toggle it ON
Refresh the page
Load the workflow

If you prefer the classic interface, check out my Legacy version of this workflow instead (link).

🎯 Features

Image-to-Image generation
Automatic download of models in auto version
Built-in SeedVR2 upscaler — high-quality tiled upscaling (toggleable on/off) Slower than a classic upscaler, but significantly better quality
Full metadata embedding — your images are saved with all generation parameters, ready for online publishing and remixing
3 LoRA slots — with individual on/off toggles and strength control and you can connect as many other lora modules to each other for as many LoRA as you want.

📦 Custom Node Required

Only one custom node to install:

👉 ComfyUI-UmeAiRT-Toolkit

Install via ComfyUI Manager (search "UmeAiRT") or use the UmeAiRT Auto-Installer.
The Toolkit packages everything internally — upscaler, face detailer, metadata saver. No other custom nodes needed.

📂 Files you need (in manual version)

for "base" version :

Model : flux1-dev-fp8.safetensors or flux1-dev-fp16.safetensors
in ComfyUI\models\diffusion_models

CLIP : clip_l.safetensors
in ComfyUI\models\clip

for GGUF version :

Model : Q8, Q6, Q5, Q4, Q3
in ComfyUI\models\unet

CLIP : Q8, Q6, Q5, Q4, Q3
in ComfyUI\models\clip

Common Files :

Text encoder : t5xxl_fp8_e4m3fn.safetensors or ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors

VAE : ae.safetensors
in ComfyUI\models\vae

Flux ControlNet Union : Shakker-LabsFLUX1-dev-ControlNet-Union-Pro.safetensors
in ComfyUI\models\controlnet

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