Epic Web UI DreamBooth Update - New Best Settings - 10 Stable Diffusion Training Compared on RunPods

RunPod: https://bit.ly/RunPodIO. Discord : https://bit.ly/SECoursesDiscord. Web UI DreamBooth got epic update and we tested all new features to find the best settings (10). If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 🥰 https://www.patreon.com/SECourses

Playlist of #StableDiffusion Tutorials, #Automatic1111 and Google Colab Guides, #DreamBooth, Textual Inversion / Embedding, LoRA, AI Upscaling, Pix2Pix, Img2Img: https://www.youtube.com/playlist?list=PL_pbwdIyffsmclLl0O144nQRnezKlNdx3

The experiments are done on RunPods but if you have 20 GB vram having Windows PC, you can exactly do the same things. All you need to do is installing latest Automatic1111 and DreamBooth extension.

Where you can find executed commands and prompts and more info: https://gist.github.com/FurkanGozukara/ad1aa55e64576d49f829450278a15885

2400 Photo Of Man classification images: https://drive.google.com/file/d/1qBf8VyUbmPNalKqm076yOsQjE8BrcG7R/view

DreamBooth extension repo link: https://github.com/d8ahazard/sd_dreambooth_extension

Easiest Way to Install & Run Stable Diffusion Web UI on PC by Using Open Source Automatic Installer: https://youtu.be/AZg6vzWHOTA

How to use Stable Diffusion V2.1 and Different Models in the Web UI - SD 1.5 vs 2.1 vs Anything V3: https://youtu.be/aAyvsX-EpG4

Zero To Hero Stable Diffusion DreamBooth Tutorial By Using Automatic1111 Web UI - Ultra Detailed: https://youtu.be/Bdl-jWR3Ukc

How To Do Stable Diffusion Textual Inversion (TI) / Text Embeddings By Automatic1111 Web UI Tutorial: https://youtu.be/dNOpWt-epdQ

Sketches into Epic Art with 1 Click: A Guide to Stable Diffusion ControlNet in Automatic1111 Web UI: https://youtu.be/vhqqmkTBMlU

Ultimate RunPod Tutorial For Stable Diffusion - Automatic1111 - Data Transfers, Extensions, CivitAI: https://youtu.be/QN1vdGhjcRc

Transform Your Selfie into a Stunning AI Avatar with Stable Diffusion - Better than Lensa for Free: https://youtu.be/mnCY8uM7E50

Stable Diffusion Google Colab, Continue, Directory, Transfer, Clone, Custom Models, CKPT SafeTensors: https://youtu.be/kIyqAdd_i10

Fantastic New ControlNet OpenPose Editor Extension & Image Mixing - Stable Diffusion Web UI Tutorial: https://youtu.be/iFRdrRyAQdQ

0:00 Introduction to DreamBooth new update best settings experiments 0:49 How to setup a new Pod and install DreamBooth newest update properly 2:25 New RunPod started time to setup and install DreamBooth 3:20 Install DreamBooth extension manually and fix errors 7:15 Starting first experiment test0 - setup of settings 7:35 Best DreamBooth settings for 12GB VRAM having GPUs 11:05 Setting and starting second experiment test1 DEIS Noise Scheduler 11:55 Test2 Unfreeze Model 12:12 Test3 Lion Optimizer 12:40 Test4 Stable Diffusion Offset Noise 13:17 Test5 Freeze Clip Normalization Layers DreamBooth 13:33 Test6 Use EMA + Use EMA for Prediction 14:37 Test7 Use EMA + Use EMA Weights for Inference 14:55 Test8 Use EMA only 15:05 Solution of configuration index out of range Web UI error 15:18 Test9 Don't use xformers - default memory attention and fp16 15:49 How to add more disk space to your existing RunPod 17:08 xformers related bug error 18:20 How to continue DreamBooth training if an error occurs or for any reason halted 18:49 All tests have been completed time to check their training samples 18:58 Test0 training samples - previously known best settings for 12GB VRAM 19:25 Test1 training samples - DEIS Noise Scheduler 19:44 Test2 training samples 20:20 Test3 training samples 21:13 Test4 training samples 21:38 Test5 training samples 22:15 Test6 training samples 23:27 Test7 training samples 24:19 Test8 training samples 24:54 Test9 training samples 25:36 Finding a good seed to compare all checkpoints within each trained model 26:46 What seed and prompt I used to compare checkpoints 27:50 What is the logic of starting seed when using batch image generation 28:14 How to use x/y/z plot to compare checkpoints to find best trained model 29:10 Where to find x/y/z plot generated grid image file 29:40 Comparing generated grid files of all experiments 29:44 Test0 Checkpoints Grid 31:26 Test1 Checkpoints Grid DEIS Noise Scheduler 32:50 Test2 Checkpoints Grid 34:48 Test3 Checkpoints Grid 38:19 Test4 Checkpoints Grid 40:30 Test5 Checkpoints Grid 41:25 Test6 Checkpoints Grid 43:14 Test7 Checkpoints Grid 44:00 Explanation of overtraining by a comparison 45:27 Test8 Checkpoints Grid 46:59 Test9 Checkpoints Grid 48:30 How to download all decided best checkpoints via runpodctl 49:09 What is RunPod connect to web terminal and how to use it when jupyter connection is not available 49:56 Where to put downloaded safetensors model files 50:10 Using x/y/z plot do conduct final comparison experiment on my local web UI 50:40 Test7 model file size is smaller than others 51:00 Each model file sizes 51:05 Comparing all of the experiments test0 vs test1 vs test2 ... 1:00:20 Ending Speech ... https://www.youtube.com/watch?v=sRdtVanSRl4