How To Do Stable Diffusion XL (SDXL) DreamBooth Training For Free - Utilizing Kaggle - Easy Tutorial

🌟 Master Stable Diffusion XL Training on Kaggle for Free! 🌟 Welcome to this comprehensive tutorial where I'll be guiding you through the exciting world of setting up and training Stable Diffusion XL (SDXL) with Kohya on a free Kaggle account. This video is your one-stop resource for learning everything from initiating a Kaggle session with dual T4 GPUs to fine-tuning your SDXL model for optimal performance.

#Kaggle #StableDiffusion #SDXL

Notebook ⤵️

Tutorial GitHub Readme File ⤵️

0:00 Introduction To The Kaggle Free SDXL DreamBooth Training Tutorial
2:01 How to register Kaggle account and login
2:26 Where to and how to download Kaggle training notebook for Kohya GUI
2:47 How to import / load downloaded Kaggle Kohya GUI training notebook
3:08 How to enable GPUs and Internet on your Kaggle session
3:52 How to start your Kaggle session / cloud machine
4:02 How to see your Kaggle given free hardware features
4:18 How to install Kohya GUI on a Kaggle notebook
4:46 How to know when the Kohya GUI installation has been completed on a Kaggle notebook
5:00 How to download regularization images before starting training
5:22 Introduction to the classification dataset that I prepared
6:35 How to setup and enter your token to use Kohya Web UI on Kaggle
8:20 How to load pre-prepared configuration json file on Kohya GUI
8:48 How to do Dataset Preparation after configuration loaded
8:59 How to upload your training dataset to your Kaggle session
9:12 Properties of my training images dataset
9:22 What kind of training dataset is good and why
10:06 How to upload any data to Kaggle and use it on your notebook
10:20 How to use previously composed Kaggle dataset in your new Kaggle session
10:34 How to get path of session included dataset
10:44 Why do I train with 100 repeating and 1 epoch
10:54 Explanation of 1 epoch and how to calculate epochs
11:23 How to set path of regularization images
11:33 How to set instance prompt and why we set it to a rare token
11:46 How to set destination directory and model output into temp disk space
12:29 How to set Kaggle temporary models folder path
13:07 How many GB temporary space do Kaggle provides us for free
13:23 Which parameters you need to set on Kohya GUI before starting training
13:33 How to calculate the N number of save every N steps parameter to save checkpoints
13:45 How to calculate total number of steps that your Kohya Stable Diffusion going to take
14:10 If I want to take 5 checkpoints what number of steps I need calculation
14:33 How to download saved configuration json file
14:43 Click start training and training starts
14:55 Can we combine both GPU VRAM and use as a single VRAM
15:05 How we are setting the base model that it will do training
15:55 The SDXL full DreamBooth training speed we get on a free Kaggle notebook
16:51 Can you close your browser or computer during training
17:54 Can we download models during training
18:26 Training has been completed
18:57 How to prevent last checkpoint to be saved 2 times
19:30 How to download generated checkpoints / model files
21:11 How you will know the download status when downloading from Kaggle working directory
22:03 How to upload generated checkpoints / model files into Hugging Face for blazing fast upload and download
25:02 Where to find Hugging Face uploaded models after upload has been completed
26:54 Explanation of why generated last 2 checkpoints are duplicate
27:27 Hugging Face upload started and the amazing speed of the upload
27:49 All uploads have been completed now how to download them
29:02 Download speed from Hugging Face repository
29:17 How to terminate your Kaggle session
29:36 Where to see how much GPU time you have left for free on Kaggle for that week
29:46 How to make a fresh installation of Automatic1111 SD Web UI
31:05 How to download Hugging Face uploaded models with wget very fast
31:57 Which settings to set on a freshly installed Automatic1111 Web UI, e.g. VAE quick selection
32:07 How to install after detailer (adetailer) extension to improve faces automatically
32:51 Why you should add --no-half-vae to your command line arguments
33:05 How to start / restart Automatic1111 Web UI
33:37 How switch to the development branch of Automatic1111 Web UI to use latest version
34:24 Where to download amazing prompts list for DreamBooth trained models
35:07 How to use PNG info to quickly load prompts
35:52 How to do x/y/z checkpoint comparison to find the best checkpoint of your SDXL DreamBooth training
38:09 How to make SDXL work faster on weak GPUs
38:37 How to analyze results of x/y/z checkpoint comparison to decide best checkpoint
42:06 How to obtain better images
42:20 How to install TensorRT and use it to generate images very fast with same quality
44:41 How to use amazing prompt list as a list txt file

[SECourses]

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[VietnamShorts]

Thank you Furkan for your hard work. Your results and observations are really helpful. I really appreciate it.

[ArslanTEZEL-zy]

Hocam Allah razı olsun, çok makbül geçti. Teşekkürler. Patreon dersleriniz sürekli güncelleniyor, buda ayrı bir güzellik.

[sajinscartoonvine]

When do you release this public version

[mojay_]

Sir, now there is new version of kohya gui, which version is this? on which u have made video. Also can u guide about new version

[emrey]

hocam 15 fotoğraf eğittim. generate basınca garip renkli şekiller çıkıyor kişi fotoğrafı oluşturmuyor. çözünürlük 1024x1024 denenim olmadı. CFG 1 denedim olmadı düzelmiyor. sebebi ne olabilir?

Düzeltme: sd_xl_base_1.0.safetensors, sd_xl_refiner_1.0.safetensors dosyaları eksik olduğu içinmiş. Yorumu kaldırmıyorum belki sorunu yaşayan çözebilir.

[KriGeta]

thank you so much for this awesome notebook, may you please tell me how can I do the same for the S.D 1.5 and lora training? like getting the base models and all other important things?

[metallmad]

I don't know what you made a full video you here while we need to get the notebook from Patreon!

[srujanagattupalli]

Have you tried IP adapter? Any videos on that?

[minmin-wyrx]

I use the suggest config train dreambooth, but the result is not satisfied with me, it not stablely generate the woman, my train dataset have 25 images and i train on the sdxl base1.0, and repeat 300, what's the reason, did you just select some good image from Lots of generated images

[ArtificialBeauties]

Hey did you saw there is a stable video diffusion model to use with comfyui ?

Next year we will create our own loras and checkpoints for videos the same we did it this year for images

[PheonixStudy]

Sir I have just one question for you . Why dont you make a video on how we can Fine Tune SDXL on our own Image caption dataset ??? On free tier colab or other alternative . Because this is the most important problem which no yotuber is solving .

[A-Eye--A]

whats the different in all this so called model training Verses just using a prompt with Face swap?

[jamespaterson]

Hi there, thank you for this. If I wanted to have more checkpoints, is there any other setting I'd have to change (besides dividing 2600 by a different number than 5 when setting "Save every N steps" parameter)? Is it even possible given each one is ~7 GB and Kaggle wouldn't have room for more checkpoints anyway?

[TomiTom]

Thanks for the update.
To follow this tutorial, we have to register to your Patreon to download the notebook file, right?

[AasthaKumar-vc]

Please do a video on how to build SDXL using both Dreambooth and LORA

[sz]

Are SDXL Turbo models trainable with Dreambooth?

[chrisrosch]

what that also make sense to train for specific tattoo styles? or is it best to "just" train a lora and us that

[williamdavis]

@SEcourses

Do you do freelance work?

[LuissSee]

waiting for new tutorial becuase I'm getting errors with cuda and bitsandbytes