Zero To Hero Stable Diffusion DreamBooth Tutorial By Using Automatic1111 Web UI - Ultra Detailed

Playlist of Stable Diffusion Tutorials, Automatic1111 and Google Colab Guides, DreamBooth, Textual Inversion / Embedding, LoRA, AI Upscaling, Pix2Pix, Img2Img:

I am explaining from scratch to very advanced level how to use #Automatic1111 Web UI and D8ahazard #DreamBooth extension to teach new subjects, e.g. your face into a model. Moreover, I am showing how to inject your taught face into a completely new model e.g. Protogen x3.4 to produce awesome quality images without wasting too much time on finding correct prompts.

Automatic1111

How to use #StableDiffusion different models on Web UI:

DreamBooth paper

0:00 Introduction to Grand Master yet most beginner friendly Stable Diffusion Dreambooth tutorial by using Automatic1111 Web UI
3:11 How to install DreamBooth extension to the Web UI
4:09 How to update installed extensions on the Web UI
4:35 Introduction to DreamBooth extension tab
4:45 Training model generation for DreamBooth
5:34 How to download official SD model files
6:21 Training model selection and settings tab of the DreamBooth extension
7:36 What is training steps per image epochs
8:24 Checkpoint saving frequency
9:15 What is training batch size in DreamBooth training and how to set them properly
10:47 Set gradients to none when zeroing
11:24 Gradient checkpoint
12:04 Image processing and resolution
12:39 Horizontal flip and Center crop
12:50 What is Sanity sample prompt and how to utilize it to understand overtraining
13:30 Best options to set in Advanced tab of DreamBooth extension
14:22 Step Ratio of Text Encoder Training
14:49 Concepts tab of the DreamBooth extension
15:27 How to crop images from any position with Paint .NET or use Birme .NET
17:22 Setting training dataset directory
17:44 What are classification images
18:46 What is Instance prompt
19:05 How to and why to pick your instance prompt as a very rare word (very crucial)
21:52 Class of the subject
22:15 Everything about class prompt
22:55 Sample prompt
23:30 Clas images per instance
25:00 Number of samples to generate
26:27 Teach multiple concepts in 1 run
28:24 Saving tab
29:10 How to generate checkpoints during training
30:52 Generating class images before start training
33:28 What is batch size in txt2img tab
36:09 Start training
38:25 First samples/previews of training
39:13 Sanity prompt sample
39:54 How to understand overtraining with sanity samples
40:34 How to properly prepare your training dataset images
43:15 Checkpoint saving during training
44:30 What is Lr displayed in cmd during training
45:38 How to continue / resume training if an error occurs or you cancel it
46:41 We started to overtraining and how we understood it
48:24 How to start generating our subject (face) images from best trained checkpoint
50:09 What is prompt strength / attention / emphasis and how to increase it
51:17 How to increase image quality with negative prompts
51:50 How to get your taught subject with which correct prompting
52:31 What is CFG and why should we increase it
52:54 How to try multiple CFG scale values by using X/Y prompting
54:54 Analyzing CFG effect
56:03 How to test different artist styles with different CFG scales by using X/Y plot
1:00:47 How to use prompt matrix
1:02:54 Prompts from file or text box to test many different prompts
1:03:57 Generate thousands of images while sleeping
1:04:22 PNG info to learn used prompts, CFG, seed and others
1:07:00 Extras tab to upscale images by using AI models with awesome quality
1:09:54 How improve eyes and face quality by using GFPGAN
1:11:35 How to continue training from any saved ckpt checkpoint
1:12:06 How to upload your trained model to Google Colab to use
1:14:19 How to teach a new subject to your already trained model
1:15:55 How to use filewords for training
1:21:52 What is fine tuning and how it is done
1:23:10 Hybrid training
1:24:39 How to understand out of memory error
1:25:39 Lowest GPU VRAM settings
1:27:35 How to batch preprocess images
1:31:47 How to generate very correct descriptions by using GIT large model
1:33:19 How to inject your trained subject into any custom / new model
1:37:36 Where is model hash written and how to compare

[SECourses]

Please join discord, mention me and ask me any questions. Thank you for like, subscribe, share and Patreon support. I am open to private consulting with Patreon subscription.

[kemalki]

I had been searching for quite some time for a tutorial that covered training models with dreamboot in Automatic 1111 stabledefusion. I must say, I am extremely grateful to have stumbled upon this video. The level of detail and clarity provided in the tutorial made it easy to understand and follow along, even for someone with limited experience in this field. The step-by-step instructions and the accompanying visual aids greatly enhanced the learning experience.

It is clear that a lot of effort and thought went into creating this tutorial, and I am confident that it will serve as an invaluable resource for anyone looking to gain expertise in training models with dreambooth in Automatic 1111 stabledefusion. I am looking forward to putting the knowledge and techniques I've acquired from this tutorial into practice, and I cannot thank you enough for making it available. Thank you so much!

[peacegreen]

Your dedication to educating others and sharing your knowledge is truly inspiring. I have learned so much from watching your videos, and your guidance has been invaluable to me. Your passion for your work is evident, and it is evident that you truly care about your audience.

[ufukzayim]

Sizin kanaliniz You tube'de ki en etkili, saglam, profesyonel tutorialli sunan kanallardan biri.Tesekkur ederim

[wakegary]

This is the best video on this subject on the internet right now. I appreciate you sharing your vast knowledge with us. I had so many questions and most of the videos were of people just following steps that they didn't fully understand. Top notch stuff, thanks friend :)

[aeit]

Greatest video on dreambooth subject, with links to actual repos that are always up to date. The only way currently to understand the topc.

[sharkeys]

10/10 just what I needed appreciate the long and detailed vid

[lxxxap]

Wish that as much as possible people will learn from your courses. Great topic!

[RikkTheGaijin]

I've been using Dreambooth for a while now, but this video expanded on few key aspect I was not aware of. Thank you very much for all the effort put in this tutorial!

[lefourbe]

this is THE truckload of informations i was looking for !!!
thanks 1000 times :) you great individual !

[borannb]

Önce bi forumda gördüm videonu aksandan direkt anladım Türk olduğunu. Çok tebrik ederim harika bir tutorial.

[extraframe]

I am wondering Why this channel hasn't million subs. It deserves every support

[KnowtHurts]

Watching your amazing video at the moment. Thank you, my friend! I haven't heard about the Prompt Generator. It is a great tool. Perfect tutorial, just perfect👌

[Matt-dkwl]

Thanks a ton! This really helped me learn this complex tool. The UI Changed and things were hard to follow and you really helped. I'm stoked this seems to be working so well! And I'm only using a 1070! This is finally something worth upgrading for.

[sinayagubi]

Thanks so mcuh! I hope this video get's many views.

[thedisciplinedweeb]

for youtube algorythm love your content

[petneb]

Thank you for a very educational video on a very delicate subject ❤

[swannschilling]

Very good, this is extremely detailed!! Thanks for taking the time!!

[cameriqueTV]

You should consider running training in the cooler months. My GPU (3060) was cranking out 156f for a great deal of time, heating the house up! Also, the generation of class images took me by surprise, I thought there was something wrong with my settings. Thanks for all you do!

[Iyht]

I have an advice, when you record your screen, use a lower resolution on the screen, so that the text and UI are bigger, everything is more readable on the video, everything else was amazing!!!