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How To Do Stable Diffusion XL SDXL DreamBooth Training Full Fine Tuning On Windows and RunPod

FurkanGozukara edited this page Oct 22, 2025 · 1 revision

How To Do Stable Diffusion XL (SDXL) DreamBooth Training (Full Fine Tuning) On Windows and RunPod

How To Do Stable Diffusion XL (SDXL) DreamBooth Training (Full Fine Tuning) On Windows and RunPod

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Video Transcription

  • 00:00:03 greetings everyone in this video i will Show you How to do Dream Training on stable diffusion

  • 00:00:06 you How to do Dream Training on stable diffusion

  • 00:00:43 you don't know how to run it and Set up it on ramp use

  • 00:00:46 know how to run it and Set up it on ramp use Watch this

  • 00:00:48 Watch this amazing you see This is over 30 Minutes

  • 00:00:51 amazing you see This is over 30 Minutes so i am going to assume that you have

  • 00:00:54 so i am going to assume that you have already installed your K on R or Windows

  • 00:00:58 already installed your K on R or Windows and you are ready to use this

  • 00:01:00 and you are ready to use this configuration Files so i'm going to Show

  • 00:01:03 configuration Files so i'm going to Show both Run and also Windows in this Quick

  • 00:01:06 both Run and also Windows in this Quick tutorial

  • 00:01:08 tutorial video let me Start My latest koh version

  • 00:01:13 video let me Start My latest koh version from gub

  • 00:01:16 from gub file ok it is started Let's open the

  • 00:01:27 URL so there are F settings 16 GB 24 GB and 48 GB 48 gab oath 24 gab are Same

  • 00:01:32 and 48 GB 48 gab oath 24 gab are Same Quality only the Speed ​​ is different 16 gab Has

  • 00:01:35 Quality only the Speed ​​is different 16 gab Has

  • 00:02:15 from Here and Close All of The applications so try to reduce Your

  • 00:02:18 applications so try to reduce Your dedicated gpu Memory usage before

  • 00:02:20 dedicated gpu Memory usage before starting Training This is Super

  • 00:02:22 starting Training This is Super important so Let's download 24 GB B Jon

  • 00:02:27 important so Let's download 24 GB B Jon file then We are going to Dream Boot top

  • 00:02:31 file then We are going to Dream Boot top configuration

  • 00:02:33 configuration Open from download Let's open the best

  • 00:02:37 Open from download Let's open the best json and All of The settings are downloaded

  • 00:02:39 json and All of The settings are downloaded First of all Select your

  • 00:02:41 First of all Select your stable diffusion XL model on Windows

  • 00:02:45 stable diffusion XL model on Windows Just Click

  • 00:02:46 Just Click on Windows Just Click Here so My

  • 00:02:50 on Windows Just Click Here so My model is inside Here you see i selected

  • 00:02:53 model is inside Here you see i selected And it is selected

  • 00:02:55 And it is selected Other than that All you need to do is

  • 00:02:57 Other than that All you need to do is Setting up your like

  • 00:03:10 Select the folder of Training images these are all sh in the tutorial

  • 00:03:14 images these are all sh in the tutorial videos in tutorial so Watch to learn so

  • 00:03:19 videos in tutorial so Watch to learn so i will Select My Pictures from Here

  • 00:03:43 data is you have download Select folder Destination

  • 00:03:46 folder Destination directory Where i want to be sav

  • 00:03:49 directory Where i want to be sav so Save as in test

  • 00:03:54 so Save as in test Here

  • 00:04:00 Can Here stable

  • 00:04:02 Here stable diffusion mod stable diffusion and Let's

  • 00:04:06 diffusion mod stable diffusion and Let's Say test example so if you Save them

  • 00:04:10 Say test example so if you Save them inside this folder You will be able to

  • 00:04:12 inside this folder You will be able to use them later automatically in your

  • 00:04:15 use them later automatically in your automatic cck prepare Training data then

  • 00:04:20 automatic cck prepare Training data then Watch Of course the messages here Click

  • 00:04:23 Watch Of course the messages here Click copy inf to folder and you are set then

  • 00:04:27 copy inf to folder and you are set then hit Training need to change anything

  • 00:04:30 hit Training need to change anything else so Let's hit Start Training we will

  • 00:04:34 else so Let's hit Start Training we will see the vram usage

  • 00:04:41 increase ok so the Training is getting started by the way it May cause some ble

  • 00:04:46 started by the way it May cause some ble neck because i also recording a video

  • 00:04:48 neck because i also recording a video ok first it is going to cch the

  • 00:05:05 because if then will move to Start using shaded

  • 00:05:09 if then will move to Start using shaded gpu Memory you see Here and if it uses

  • 00:05:13 gpu Memory you see Here and if it uses shaded GP Memory it will be 10 Maybe

  • 00:05:16 shaded GP Memory it will be 10 Maybe even More Slower so You Will Get

  • 00:05:19 even More Slower so You Will Get terrible Training

  • 00:05:21 terrible Training speeds i willst this video twit will of pat i

  • 00:05:28 speeds i willst this video twit will of pat i will also post this in linkedin

  • 00:05:31 will also post this in linkedin the link will be in the com section of

  • 00:05:34 the link will be in the com section of the linkedin and i will post on Other

  • 00:05:36 the linkedin and i will post on Other platforms so Make sure that you Check

  • 00:05:39 platforms so Make sure that you Check the link of this patreon post Wherever i

  • 00:05:42 the link of this patreon post Wherever i have posted ok

  • 00:05:44 have posted ok Let's Watch the Training

  • 00:05:48 Let's Watch the Training progress and the Training has started

  • 00:05:50 progress and the Training has started you see it is using

  • 00:05:52 you see it is using 19.5 GB vram and We Are Not even using

  • 00:05:56 19.5 GB vram and We Are Not even using xers To reduce vam usage Speed ​​ up am Now

  • 00:06:01 xers To reduce vam usage Speed ​​up am Now recording a video with also Voice

  • 00:06:04 recording a video with also Voice cleaning it is Super slow than it should

  • 00:06:08 cleaning it is Super slow than it should be so This is how you do Training on

  • 00:06:11 be so This is how you do Training on Windows Now i will Show the Training on Run

  • 00:06:14 Windows Now i will Show the Training on Run before showing the models will be saved

  • 00:06:18 before showing the models will be saved in this folder remember that You

  • 00:06:20 in this folder remember that You Will Find your full checkpoints

  • 00:06:23 Will Find your full checkpoints there so to do Training on R

  • 00:06:27 there so to do Training on R log Need

  • 00:06:35 gel maxum exed

  • 00:06:38 exed rx90 good

  • 00:06:40 rx90 good one's let selectable diffusion We

  • 00:06:44 one's let selectable diffusion We template Select container 15 set override continue deploy

  • 00:06:47 template Select container 15 set override continue deploy Let's go to

  • 00:06:58 mys Wow Another forten w D have lost so much money Because

  • 00:07:12 Of ok it is starting i have also automatic installer

  • 00:07:15 starting i have also automatic installer for R for koh open the R tutorial

  • 00:07:20 for R for koh open the R tutorial link You Will Find automatic

  • 00:07:24 link You Will Find automatic installer

  • 00:07:27 installer exps easy to

  • 00:07:48 Jupiter ok first Let's upload relaunch from download Here relaunch

  • 00:08:07 ok Connect you need to do restart One Time

  • 00:08:16 important ok rest hased Let's go to workspace let upload

  • 00:08:19 hased Let's go to workspace let upload the

  • 00:08:21 the inster

  • 00:08:23 inster terminal

  • 00:08:26 terminal [Music]

  • 00:08:28 [Music] instructions so We Just need to run this Let

  • 00:08:32 instructions so We Just need to run this Let 's run it it will install the

  • 00:08:36 's run it it will install the kya meanwhile Auto installation is going

  • 00:08:39 kya meanwhile Auto installation is going on let's upload our Training images so i

  • 00:08:42 on let's upload our Training images so i make a Train folder Let's Click

  • 00:08:45 make a Train folder Let's Click upload from Pictures and me size 1024 Let

  • 00:08:51 upload from Pictures and me size 1024 Let 's upload them you can also download

  • 00:08:54 's upload them you can also download the regularization

  • 00:08:55 the regularization images so to Find the best

  • 00:08:57 images so to Find the best regularization images Let's go to

  • 00:08:59 regularization images Let's go to patreon Exclusive post index from

  • 00:09:29 Here ok from Here sorry was a some delay Search this massive 4K resolution

  • 00:09:33 delay Search this massive 4K resolution woman and Man Class Ground images dataset

  • 00:09:35 woman and Man Class Ground images dataset All instructions are WR Here you

  • 00:09:39 All instructions are WR Here you can download All of The links from Here

  • 00:09:41 can download All of The links from Here but for Now i w use regularization

  • 00:09:44 but for Now i w use regularization images and our images are uploaded into

  • 00:09:47 images and our images are uploaded into Train

  • 00:09:49 Train directory i also latest regularization images

  • 00:09:53 directory i also latest regularization images dat link to Dream configuration

  • 00:09:58 dat link to Dream configuration files

  • 00:10:34 the prev started instance with Command let me Show this

  • 00:10:40 with Command let me Show this you see hit enter And it will Kill the

  • 00:10:42 you see hit enter And it will Kill the previously started instance Now When i

  • 00:10:46 previously started instance Now When i Look at the gpu Memory i will see Zer

  • 00:10:49 Look at the gpu Memory i will see Zer Per usage also This is Now

  • 00:10:53 Per usage also This is Now Gone Let's just have a little bit More until

  • 00:10:57 Gone Let's just have a little bit More until This is getting refresh

  • 00:10:59 This is getting refresh and meanwhile Let's Start our koh

  • 00:11:03 and meanwhile Let's Start our koh instance so for starting it Just going to Follow

  • 00:11:06 instance so for starting it Just going to Follow this Command from Here Let's copy paste it

  • 00:11:10 this Command from Here Let's copy paste it and Let's see Yes you see

  • 00:11:13 and Let's see Yes you see now gpu Memory Us is % on ramp Make sure

  • 00:11:18 now gpu Memory Us is % on ramp Make sure that the gpu Memory Us is % before

  • 00:11:21 that the gpu Memory Us is % before starting

  • 00:11:23 starting Training ok it started Let's Connect it

  • 00:11:27 Training ok it started Let's Connect it from shared gradio

  • 00:11:30 from shared gradio al Right you can also enable this Port this

  • 00:11:34 al Right you can also enable this Port this

  • 00:11:41 7860 on your to Connect directly Via Proxy from Here like that all right so

  • 00:11:45 Proxy from Here like that all right so Now all i need to do is upload My

  • 00:11:48 Now all i need to do is upload My configuration file into workspace so

  • 00:11:51 configuration file into workspace so Click upload Let's go to downloads this

  • 00:11:54 Click upload Let's go to downloads this is my configuration file copy pad then

  • 00:11:59 is my configuration file copy pad then in the Dre in the configuration Put a

  • 00:12:02 in the Dre in the configuration Put a Back always put in Run cck load and

  • 00:12:08 Back always put in Run cck load and entire configuration is loaded First of

  • 00:12:10 entire configuration is loaded First of all We need to Give the sxl Base version

  • 00:12:15 all We need to Give the sxl Base version file pad Which is Here so copy

  • 00:12:18 file pad Which is Here so copy pad remove this put It Like that on R you w

  • 00:12:22 pad remove this put It Like that on R you w to you

  • 00:12:36 My Training images ins Train folder CY and Put a Back this i not going to

  • 00:12:41 CY and Put a Back this i not going to use regularization images in this Case

  • 00:12:43 use regularization images in this Case but you can use them and the Destination

  • 00:12:46 but you can use them and the Destination directory Let's Make the Destination

  • 00:12:48 directory Let's Make the Destination directory inside models of stable

  • 00:12:50 directory inside models of stable diffusion folder so we will be able to

  • 00:12:53 diffusion folder so we will be able to use later

  • 00:12:55 use later automatic stable diffusion aomi

  • 00:13:40 İmes really Fast and we will see the Speed ​​ wait up to 10 minutes to see How

  • 00:13:45 Speed ​​wait up to 10 minutes to see How much Speed ​​ it will Get currently it is

  • 00:13:48 much Speed ​​it will Get currently it is 1.4 Seconds Per it Which is very decent

  • 00:13:52 1.4 Seconds Per it Which is very decent soti is

  • 00:14:01 to Memory Used am here GP utilization Here it is using 70

  • 00:14:15 so it is only using like 16.8 GB vram so You Can Do this Training on 20 gab model

  • 00:14:18 You Can Do this Training on 20 gab model As Well on 20 gab gpu As Well if you also enable

  • 00:14:21 As Well on 20 gab gpu As Well if you also enable

  • 00:15:18 Let's download our prompt list PDF file from Here so Let's

  • 00:15:22 prompt list PDF file from Here so Let's Open our prom list and We

  • 00:15:25 Open our prom list and We have of promt here As Well so Which image do i

  • 00:15:30 have of promt here As Well so Which image do i want to generate Let's

  • 00:15:34 want to generate Let's generate images in this Style cck download

  • 00:15:36 generate images in this Style cck download it will download the image Save

  • 00:15:39 it will download the image Save As into the downloads Let's go to the

  • 00:15:42 As into the downloads Let's go to the stable diffusion png info Let's load it

  • 00:15:45 stable diffusion png info Let's load it from Here so it will load All of The

  • 00:15:47 from Here so it will load All of The parameters let Send to the Generation

  • 00:15:51 parameters let Send to the Generation also i will Select my best model from

  • 00:15:54 also i will Select my best model from Here i using fp

  • 00:15:57 Here i using fp 16xl so also going to use

  • 00:16:02 16xl so also going to use After detailer with Let's Say denoising

  • 00:16:07 After detailer with Let's Say denoising Zer 40

  • 00:16:10 Zer 40 Per Let's Make the sampling steps 4 and Let's generate 12 images

  • 00:16:14 Per Let's Make the sampling steps 4 and Let's generate 12 images

  • 00:17:18 using After detailer some of the images will have lesser degree of stylization

  • 00:17:22 will have lesser degree of stylization and will have More realism so you can

  • 00:17:24 and will have More realism so you can Delete this phot and try again or reduce

  • 00:17:27 Delete this phot and try again or reduce the in painting masking Deno strength or

  • 00:17:32 the in painting masking Deno strength or Turn off After detailer When generating

  • 00:17:34 Turn off After detailer When generating stylized images but the results are

  • 00:17:36 stylized images but the results are amazing you can Get amazing images with

  • 00:17:39 amazing you can Get amazing images with this strategy i also have so many Other

  • 00:17:43 this strategy i also have so many Other amazing proms in that prom list so you

  • 00:17:47 amazing proms in that prom list so you can also use that prom list to generate

  • 00:17:50 can also use that prom list to generate amazing images let me Show some of the

  • 00:17:53 amazing images let me Show some of the images i generated with this Dre

  • 00:17:56 images i generated with this Dre tutorial configuration and

  • 00:17:59 tutorial configuration and amaz

  • 00:18:07 forle and i have even mod Now the model i generated these

  • 00:18:08 i generated these images so i am also still working on

  • 00:18:12 images so i am also still working on finding even better configuration

  • 00:18:15 finding even better configuration hopefully before i do The Final tutorial

  • 00:18:20 hopefully before i do The Final tutorial i will have even better

  • 00:18:23 i will have even better configuration this so much for

  • 00:18:27 configuration this so much for pat subbing me and i Hope you Share this

  • 00:18:31 pat subbing me and i Hope you Share this sharing As Well hope See you later

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