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How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI

How To Do SDXL LoRA Training On RunPod With Kohya SS GUI Trainer & Use LoRAs With Automatic1111 UI

If you don't have a GPU, or have a strong GPU, or you are using Mac and your computer not supporting Stable Diffusion training, SDXL training, then this is the tutorial you are looking for. In this tutorial, we will use a cheap cloud GPU service provider RunPod to use both Stable Diffusion Web UI Automatic1111 and Stable Diffusion trainer Kohya SS GUI to train SDXL LoRAs. By watching this tutorial, you will be able to training and generate images as easy as your own computer by using RunPod cloud service.

Tutorial GitHub Readme File ⤵️

Hopefully I will do more research about SDXL training. Will investigate training only unet without text encoder. Moreover, I will investigate and make a workflow about celebrity name based training hopefully. Furthermore, SDXL full DreamBooth training is also on my research and workflow preparation list. Stay subscribed for all.

0:00 Introduction to easy tutorial of using RunPod to do SDXL training

1:55 How to start your RunPod machine for Stable Diffusion XL usage and training

3:18 How to install Kohya on RunPod with a single click installer

4:22 Important things about using SDXL on RunPod

5:38 Step by step installation of Kohya SS GUI trainer on RunPod

7:08 How to terminate automatically started Automatic1111 Instance to free up VRAM

7:26 How to change file to prevent infinite auto relaunch of Automatic1111 Web UI

8:00 Where do you need to download and put Stable Diffusion model and VAE files on RunPod

8:58 How to download Stable Diffusion models into RunPod

9:25 How to terminate previously started Automatic1111 Web UI instance to free up VRAM before training,

10:03 How to start Kohya GUI after installation

10:42 How to save and load Kohya training configuration on RunPod

10:54 How to upload and set your training images

12:01 How to install runpodctl

13:15 Why runpodctl is useful

13:51 How to configure Kohya LoRA training on RunPod for Stable Diffusion XL

15:58 What is the importance and effect of Network Rank (Dimension)

19:41 How to update Automatic1111 Web UI on RunPod

20:04 How to understand your Kohya training completed or not

21:57 How to start using your trained or downloaded SDXL LoRA models

22:13 Where the training checkpoint files are saved

22:46 How you should connect to Automatic1111 Web UI interface on RunPod for image generation

23:15 How to set best Stable Diffusion VAE file for best image quality

23:33 How to set full precision VAE on RunPod --no-half-vae

24:18 Where to find good Stable Diffusion prompts for SDXL and SD 1.5 models

25:05 How to activate your trained LoRA via appending to the prompt

25:47 How to improve faces / fix them via using Adetailer automatic inpainting extension

26:44 How to reload last used prompt and all settings with 1 click

26:52 How to enable and use adetailer extension

27:06 In which folder generated images saved and how to download them very fast on RunPod

29:24 How to test face quality and verify your trained LoRA or DreamBooth models / checkpoints

30:10 How to do prompt engineering to improve and fix faces

32:06 How to join our community helping Discord and where to contact to me