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

Explore the latest updates to the Web UI DreamBooth in this comprehensive video tutorial. Learn how to set up and install the newest version on RunPods, and discover the best settings for 12GB VRAM GPUs. Compare 10 different Stable Diffusion training experiments, including DEIS Noise Scheduler, Unfreeze Model, Lion Optimizer, and various EMA configurations. Follow step-by-step instructions for manual installation, error fixing, and conducting experiments. Analyze training samples, compare checkpoints using x/y/z plots, and understand the impact of different settings on model performance. Gain insights into overtraining, file size differences, and how to conduct final comparisons on a local Web UI. Master advanced techniques like adding disk space to RunPods, continuing halted training, and using runpodctl for checkpoint downloads.

Introduction to DreamBooth new update best settings experiments
How to setup a new Pod and install DreamBooth newest update properly
New RunPod started time to setup and install DreamBooth
Install DreamBooth extension manually and fix errors
Starting first experiment test0 - setup of settings
Best DreamBooth settings for 12GB VRAM having GPUs
Setting and starting second experiment test1 DEIS Noise Scheduler
Test2 Unfreeze Model
Test3 Lion Optimizer
Test4 Stable Diffusion Offset Noise
Test5 Freeze Clip Normalization Layers DreamBooth
Test6 Use EMA + Use EMA for Prediction
Test7 Use EMA + Use EMA Weights for Inference
Test8 Use EMA only
Solution of configuration index out of range Web UI error
Test9 Don't use xformers - default memory attention and fp16
How to add more disk space to your existing RunPod
xformers related bug error
How to continue DreamBooth training if an error occurs or for any reason halted
All tests have been completed time to check their training samples
Test0 training samples - previously known best settings for 12GB VRAM
Test1 training samples - DEIS Noise Scheduler
Test2 training samples
Test3 training samples
Test4 training samples
Test5 training samples
Test6 training samples
Test7 training samples
Test8 training samples
Test9 training samples
Finding a good seed to compare all checkpoints within each trained model
What seed and prompt I used to compare checkpoints
What is the logic of starting seed when using batch image generation
How to use x/y/z plot to compare checkpoints to find best trained model
Where to find x/y/z plot generated grid image file
Comparing generated grid files of all experiments
Test0 Checkpoints Grid
Test1 Checkpoints Grid DEIS Noise Scheduler
Test2 Checkpoints Grid
Test3 Checkpoints Grid
Test4 Checkpoints Grid
Test5 Checkpoints Grid
Test6 Checkpoints Grid
Test7 Checkpoints Grid
Explanation of overtraining by a comparison
Test8 Checkpoints Grid
Test9 Checkpoints Grid
How to download all decided best checkpoints via runpodctl
What is RunPod connect to web terminal and how to use it when jupyter connection is not available
Where to put downloaded safetensors model files
Using x/y/z plot do conduct final comparison experiment on my local web UI
Test7 model file size is smaller than others
Each model file sizes
Comparing all of the experiments test0 vs test1 vs test2 ...
Ending Speech