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 relauncher.py 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