Guide you through the entire process of training FLUX LoRA models using your custom datasets.

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

Updated 6/16/2025: ComfyUI version updated to v0.3.39 for improved stability and compatibility. This ComfyUI FLUX LoRA Training workflow enables you to fine-tune pre-existing FLUX models with your own datasets. With this detailed guide, you'll learn how to prepare your training data, set up the workflow, configure essential parameters, and execute the training process. Unlock the full potential of FLUX AI models and create tailored outputs that align perfectly with your vision.

Notes

see RunComfy page for the latest node requirements.