Our Discord : https://discord.gg/HbqgGaZVmr. Grand Master tutorial for Textual Inversion / Text Embeddings. 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 Stable Diffusion Tutorials, Automatic1111 and Google Colab Guides, DreamBooth, Textual Inversion / Embedding, LoRA, AI Upscaling, Pix2Pix, Img2Img:
https://www.youtube.com/playlist?list=PL_pbwdIyffsmclLl0O144nQRnezKlNdx3
In this video, I am explaining almost every aspect of Stable Diffusion Textual Inversion (TI) / Text Embeddings. I am demonstrating a live example of how to train a person face with all of the best settings including technical details.
TI Academic Paper: https://arxiv.org/pdf/2208.01618.pdf
Automatic1111 Repo: https://github.com/AUTOMATIC1111/stable-diffusion-webui
Easiest Way to Install & Run Stable Diffusion Web UI on PC
https://youtu.be/AZg6vzWHOTA
How to use Stable Diffusion V2.1 and Different Models in the Web UI
https://youtu.be/aAyvsX-EpG4
Automatic1111 Used Commit : d8f8bcb821fa62e943eb95ee05b8a949317326fe
Git Bash : https://git-scm.com/downloads
Automatic1111 Command Line Arguments List: https://bit.ly/StartArguments
S.D. 1.5 CKPT: https://huggingface.co/runwayml/stable-diffusion-v1-5/tree/main
Latest Best S.D. VAE File: https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main
VAE File Explanation: https://bit.ly/WhatIsVAE
Cross attention optimizations bug: https://bit.ly/CrosOptBug
Vector Pull Request: https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/6667
All of the tokens list in Stable Diffusion: https://huggingface.co/openai/clip-vit-large-patch14/tree/main
Example training dataset used in the video:
https://drive.google.com/file/d/1Hom2XbILub0hQc-zmLizRcwFrKwHYGcc/view?usp=sharing
Inspect-Embedding-Training Script repo:
https://github.com/Zyin055/Inspect-Embedding-Training
How to Inject Your Trained Subject: https://youtu.be/s25hcW4zq4M
Comparison of training techniques: https://bit.ly/TechnicComparison
Embedding file name list generator script:
https://jsfiddle.net/MonsterMMORPG/Lg0swc1b/10/
0:00 Introduction to #StableDiffusion #TextualInversion Embeddings
1:00 Which commit of the #Automatic1111 Web UI we are using and how to checkout / switch to specific commit of any Git project
4:07 Used command line arguments of Automatic1111 webui-user.bat file
4:35 Automatic1111 command line arguments
5:31 How to and where to put Stable Diffusion models and VAE files in Automatic1111 installation
6:05 Why do we use latest VAE file and what does VAE file do
8:24 Training settings of Automatic1111
10:38 All about names of text embeddings
11:00 What is initialization text of textual inversion training
11:32 Embedding inspector extension of Automatic1111
14:25 How to set number of vectors per token when doing Textual Inversion training
11:52 Technical and detailed explanation of tokens and their numerical weights vectors in Stable Diffusion
16:00 How the prompts getting tokenized - turned into tokens - by using tokenizer extension
18:58 Setting number of training vectors
20:24 Where embedding files are saved in automatic1111 installation
20:38 All about preprocess images before TI training
23:06 Training tab of textual inversion
23:18 What to and how to set embedding learning rate
23:40 What are the Batch size and Gradient accumulation steps and how to set them
24:40 How to set training learning rate according to Batch size and Gradient accumulation steps
26:21 What are prompt templates, what are they used for, how to set and use them in textual inversion training
29:06 What are filewords and how they are used in training in automatic1111 web ui
29:35 How to edit image captions when doing textual inversion training
31:07 From training images pool, how and why did i choose some of them and not all of them
31:54 Why I did add noise to the backgrounds of some training dataset images
32:07 How should be your training dataset. What is a good training dataset
34:48 Save TI training checkpoints
36:31 Which latent sampling method is best
39:59 Training started
38:08 Overclock GPU to get 10% training speed up
38:32 Where to find TI training preview images
39:15 Where to see used final prompts during training
41:34 How to use inspect_embedding_training script to determine overtraining of textual inversion
42:31 What is training loss
48:23 Technical difference of Textual Inversion, DreamBooth, LoRA and HyperNetworks training
52:17 Over 200 epochs and already got very good sample preview images
54:28 How to set newest VAE file as default in the settings of automatic1111 web ui
55:06 How to use generated embeddings checkpoint files
58:31 How to test different checkpoints via X/Y plot and embedding files name generator script
1:07:27 How to upscale image by using AI
1:08:42 How to use multiple embeddings in a prompt
