>In this video, I’ll show you how to train LORA STYLE SDXL 1.0 using YOUR OWN IMAGES! I spend hundreds of hours testing, experimenting, and hundreds of dollars in cloud computing training to bring you the ultimate LORA STYLE training guide for complete beginners and experts alike for Stable Diffusion. SDXL is incredibly easy to train as long as you know what you are doing with the right training parameters. After this video, you’ll have the required knowledge to train any style you want with the Kohya GUI tool.

What do you think of SDXL Style LORA? Let me know in the comments!
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Previous Lora video: https://youtu.be/N_zhQSx2Q3c
Kohya ss GUI: https://github.com/bmaltais/kohya_ss
SDXL: https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/
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00:00:00 Train SDXL with LORA
00:00:57 What is LORA?
00:01:11 Koya SS GUI
00:01:53 Image Dataset preparation
00:04:45 Find good video game images on Steam
00:05:32 Upscale images sharper with Stable Diffusion
00:07:50 Make sure images are not too big for LORA Training
00:08:31 SDXL LORA Training Folder Creation
00:09:45 Instance Prompt
00:10:30 Find the right style for LORA Training
00:12:48 Class Prompt
00:13:00 LORA Repeats Training Steps
00:14:21 Regularization images
00:17:39 Training Data
00:18:18 LORA Image Captioning
00:22:52 How to replace a word in multiple text files on Windows
00:26:00 The right SDXL STYLE LORA Training Parameters
00:26:28 LORA Type Standard vs LoCON or LoHA LyCORIS
00:26:49 Train Batch size
00:27:44 Number of Epoch Training
00:28:54 BF16 & FP16 & Cache
00:29:27 The RIGHT Learning Rate for SDXL STYLE LORA
00:30:11 SDXL Image Resolution & Buckets
00:30:55 LORA Network Rank & Network alpha
00:31:40 Gradient Accumulate Steps LORA
00:32:21 Noise Offset LORA
00:33:14 LORA Training & VRAM Usage
00:33:38 GPU Solutions & RunPod
00:34:02 Runpod Setup for LORA Training
00:34:41 Runpod Template LORA Update
00:36:43 How to select the right LORA Model?
00:38:43 Chose the final Model
00:41:37 Conclusion on LORA STYLE Training

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