Run your AI Toolkit-trained FLUX.2 Dev LoRA in ComfyUI with training-matched behavior using a single RunComfy RC custom node.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning — you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises — run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout — useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON — the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense — you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations — First run may pull large weights; cloud runs may require a free RunComfy account.

Overview

FLUX.2 LoRA ComfyUI Inference is a ready-to-run RunComfy workflow for applying an AI Toolkit-trained LoRA to FLUX.2 Dev inside ComfyUI. Instead of rebuilding FLUX.2 with a generic sampler graph, it routes generation through Flux2Pipeline, a model-specific wrapper aligned to the AI Toolkit preview pipeline. This pipeline-level alignment keeps LoRA injection consistent and preserves FLUX.2-correct defaults for repeatable, training-matched outputs. Load a single adapter from ComfyUI/models/loras (local download) or a direct .safetensors URL, then match lora_scale and your sampling values to your training samples when needed. Output images are saved via SaveImage for easy side-by-side comparison with training previews.

Important nodes:

• Load Pipeline

• SaveImage

Notes

FLUX.2 Dev LoRA ComfyUI Inference | RunComfy Workflow (Training-Matched Results) — see RunComfy page for the latest node requirements.