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

Video Description

Learn how to train custom LoRA models inside ComfyUI using the powerful Flux training system. This in-depth guide covers everything from installation and setup to dataset preparation, model configuration, and real-time training. Whether you're a beginner or an advanced user, this tutorial gives you the tools to create high-quality LoRA models for AI image generation with maximum control and flexibility. What You'll Learn in This Video: What is LoRA and how it improves AI image generation How to install ComfyUI and ComfyUI Manager Downloading and setting up Flux models and encoders How to prepare datasets and captions using BLIP Full LoRA training workflow inside ComfyUI Best practices for results, stability, and output control Resources and Downloads Search for and install the following nodes: ComfyUI Flux Trainer by Kijai rgthree's ComfyUI Nodes KJNodes for ComfyUI WAS Node Suite BLIP Captioning Nodes ComfyUI (Main Application): https://github.com/comfyanonymous/ComfyUI ComfyUI Manager (Node Installer & Workflow Manager): https://github.com/Comfy-Org/ComfyUI-Manager Flux1 Dev Model (Base for Training): https://huggingface.co/lllyasviel/flux1_dev/blob/main/flux1-dev-fp8.safetensors Flux Text Encoder (T5XXL, Required for Training): https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/t5xxl_fp8_e4m3fn.safetensors Flux VAE (Required for Sampling): https://huggingface.co/StableDiffusionVN/Flux/blob/main/Vae/flux_vae.safetensors BLIP Image Captioning Models (for Automatic Captions): Base: https://huggingface.co/Salesforce/blip-image-captioning-base/tree/main Large: https://huggingface.co/Salesforce/blip-image-captioning-large/tree/main Workflow BLIP : https://drive.google.com/file/d/1KZEU3MMSJBXMU0cJwrJMabWd12nluhbW/view?usp=sharing kijai ComfyUI-FluxTrainer with workflow : https://github.com/kijai/ComfyUI-FluxTrainer https://github.com/kijai/ComfyUI-FluxTrainer/tree/main/example_workflows #TrainLoRA #ComfyUI #ComfyUIFlux #LoRATraining #FluxLoRA #ComfyUILoRA #AIImageTraining #Flux1LoRAGuide #BLIPCaptioning #ComfyUIManager #StableDiffusionLoRA My recommendations: Best quality outfits: https://community.kuhl.com/s/vladimri.c Must have VPN: https://go.nordvpn.net/aff_c?offer_id=15&aff_id=115270&url_id=902 Topaz AI Video and Photo processing: https://topazlabs.com/ref/1514/ Stuff I am using: https://www.amazon.com/shop/vladimirchopinegeekatplay/list/R1DTNFYAUST7 My Vue book - https://amzn.to/2TGUkvQ 3D Art essentials - https://amzn.to/2RfqPjh My Patreon webpage - https://www.patreon.com/geekatplay Tutorials and packs - https://gumroad.com/geekatplay Tutorials website - https://www.geekatplay.com Photography - https://www.chopinephotography.com Subscribe to my channel for fast notifications on new tutorials - https://www.youtube.com/@Geekatplay 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