Completed
13:01 - Previewing training loss and performance
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Classroom Contents
How to Train LoRA in ComfyUI Using Flux - Full Step-by-Step Tutorial
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- 1 00:00 - Introduction to LoRA training in ComfyUI
- 2 00:17 - Downloading and setting up ComfyUI 0.36
- 3 00:42 - Extracting and preparing folders
- 4 00:49 - Installing ComfyUI Manager
- 5 01:28 - Opening terminal and cloning ComfyUI Manager
- 6 02:11 - Launching ComfyUI with GPU batch file
- 7 02:36 - Checking if Manager tab is available
- 8 02:54 - Installing Flux Trainer nodes
- 9 03:19 - Installing RGthree nodes
- 10 03:48 - Installing KJNodes
- 11 03:59 - Installing WAS Node Suite optional
- 12 04:22 - Restarting ComfyUI after node installation
- 13 04:44 - Optional: using BLIP to generate captions
- 14 05:56 - BLIP captioning workflow setup
- 15 07:00 - Downloading required Flux server files
- 16 07:50 - Placing models and encoders in correct folders
- 17 08:11 - Downloading and loading the training workflow JSON
- 18 08:46 - Fixing missing nodes if needed
- 19 09:04 - Exploring the loaded workflow structure
- 20 09:56 - Preparing dataset and verifying paths
- 21 10:18 - Connecting models and adjusting parameters
- 22 11:01 - Running LoRA training in ComfyUI
- 23 12:18 - Training time overview and system specs
- 24 13:01 - Previewing training loss and performance
- 25 14:44 - Reviewing output files and trained models
- 26 15:50 - Testing the trained LoRA model
- 27 16:45 - Comparing results with and without LoRA
- 28 17:21 - Final thoughts and training tips
