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YouTube

How to Train LoRA in ComfyUI Using Flux - Full Step-by-Step Tutorial

Vladimir Chopine [GeekatPlay] via YouTube

Overview

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This 18-minute tutorial guides you through the complete process of training custom LoRA models in ComfyUI using the Flux training system. Master everything from installation and setup to dataset preparation, model configuration, and real-time training. Learn what LoRA is and how it enhances AI image generation, how to install ComfyUI and ComfyUI Manager, download and configure Flux models and encoders, prepare datasets with BLIP captioning, implement a full LoRA training workflow, and apply best practices for optimal results. The video includes all necessary resources for installation including ComfyUI Flux Trainer, rgthree's nodes, KJNodes, WAS Node Suite, and BLIP Captioning Nodes, along with links to download ComfyUI, ComfyUI Manager, Flux1 Dev Model, Flux Text Encoder, Flux VAE, and BLIP Image Captioning Models. The step-by-step walkthrough covers the entire process from initial setup to testing your trained LoRA model and comparing results.

Syllabus

00:00 - Introduction to LoRA training in ComfyUI
00:17 - Downloading and setting up ComfyUI 0.36
00:42 - Extracting and preparing folders
00:49 - Installing ComfyUI Manager
01:28 - Opening terminal and cloning ComfyUI Manager
02:11 - Launching ComfyUI with GPU batch file
02:36 - Checking if Manager tab is available
02:54 - Installing Flux Trainer nodes
03:19 - Installing RGthree nodes
03:48 - Installing KJNodes
03:59 - Installing WAS Node Suite optional
04:22 - Restarting ComfyUI after node installation
04:44 - Optional: using BLIP to generate captions
05:56 - BLIP captioning workflow setup
07:00 - Downloading required Flux server files
07:50 - Placing models and encoders in correct folders
08:11 - Downloading and loading the training workflow JSON
08:46 - Fixing missing nodes if needed
09:04 - Exploring the loaded workflow structure
09:56 - Preparing dataset and verifying paths
10:18 - Connecting models and adjusting parameters
11:01 - Running LoRA training in ComfyUI
12:18 - Training time overview and system specs
13:01 - Previewing training loss and performance
14:44 - Reviewing output files and trained models
15:50 - Testing the trained LoRA model
16:45 - Comparing results with and without LoRA
17:21 - Final thoughts and training tips

Taught by

Vladimir Chopine [GeekatPlay]

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