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How To Do Stable Diffusion XL SDXL DreamBooth Training Full Fine Tuning On Windows and RunPod
Full tutorial link > https://www.youtube.com/watch?v=EEV8RPohsbw
Patreon post for config files
https://www.patreon.com/posts/89213064
SECourses Discord To Get Full Support
https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
My LinkedIn
https://www.linkedin.com/in/furkangozukara/
My Instagram
https://www.instagram.com/gozukarafurkan/
My Medium
@FurkanGozukara https://medium.com/@furkangozukara
My CivitAI
https://civitai.com/user/SECourses
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00:00:03 greetings everyone in this video i will Show you How to do Dream Training on stable diffusion
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00:00:06 you How to do Dream Training on stable diffusion
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00:00:43 you don't know how to run it and Set up it on ramp use
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00:00:46 know how to run it and Set up it on ramp use Watch this
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00:00:48 Watch this amazing you see This is over 30 Minutes
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00:00:51 amazing you see This is over 30 Minutes so i am going to assume that you have
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00:00:54 so i am going to assume that you have already installed your K on R or Windows
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00:00:58 already installed your K on R or Windows and you are ready to use this
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00:01:00 and you are ready to use this configuration Files so i'm going to Show
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00:01:03 configuration Files so i'm going to Show both Run and also Windows in this Quick
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00:01:06 both Run and also Windows in this Quick tutorial
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00:01:08 tutorial video let me Start My latest koh version
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00:01:13 video let me Start My latest koh version from gub
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00:01:16 from gub file ok it is started Let's open the
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00:01:27 URL so there are F settings 16 GB 24 GB and 48 GB 48 gab oath 24 gab are Same
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00:01:32 and 48 GB 48 gab oath 24 gab are Same Quality only the Speed is different 16 gab Has
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00:01:35 Quality only the Speed is different 16 gab Has
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00:02:15 from Here and Close All of The applications so try to reduce Your
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00:02:18 applications so try to reduce Your dedicated gpu Memory usage before
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00:02:20 dedicated gpu Memory usage before starting Training This is Super
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00:02:22 starting Training This is Super important so Let's download 24 GB B Jon
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00:02:27 important so Let's download 24 GB B Jon file then We are going to Dream Boot top
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00:02:31 file then We are going to Dream Boot top configuration
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00:02:33 configuration Open from download Let's open the best
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00:02:37 Open from download Let's open the best json and All of The settings are downloaded
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00:02:39 json and All of The settings are downloaded First of all Select your
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00:02:41 First of all Select your stable diffusion XL model on Windows
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00:02:45 stable diffusion XL model on Windows Just Click
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00:02:46 Just Click on Windows Just Click Here so My
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00:02:50 on Windows Just Click Here so My model is inside Here you see i selected
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00:02:53 model is inside Here you see i selected And it is selected
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00:02:55 And it is selected Other than that All you need to do is
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00:02:57 Other than that All you need to do is Setting up your like
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00:03:10 Select the folder of Training images these are all sh in the tutorial
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00:03:14 images these are all sh in the tutorial videos in tutorial so Watch to learn so
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00:03:19 videos in tutorial so Watch to learn so i will Select My Pictures from Here
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00:03:43 data is you have download Select folder Destination
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00:03:46 folder Destination directory Where i want to be sav
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00:03:49 directory Where i want to be sav so Save as in test
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00:03:54 so Save as in test Here
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00:04:00 Can Here stable
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00:04:02 Here stable diffusion mod stable diffusion and Let's
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00:04:06 diffusion mod stable diffusion and Let's Say test example so if you Save them
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00:04:10 Say test example so if you Save them inside this folder You will be able to
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00:04:12 inside this folder You will be able to use them later automatically in your
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00:04:15 use them later automatically in your automatic cck prepare Training data then
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00:04:20 automatic cck prepare Training data then Watch Of course the messages here Click
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00:04:23 Watch Of course the messages here Click copy inf to folder and you are set then
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00:04:27 copy inf to folder and you are set then hit Training need to change anything
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00:04:30 hit Training need to change anything else so Let's hit Start Training we will
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00:04:34 else so Let's hit Start Training we will see the vram usage
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00:04:41 increase ok so the Training is getting started by the way it May cause some ble
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00:04:46 started by the way it May cause some ble neck because i also recording a video
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00:04:48 neck because i also recording a video ok first it is going to cch the
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00:05:05 because if then will move to Start using shaded
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00:05:09 if then will move to Start using shaded gpu Memory you see Here and if it uses
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00:05:13 gpu Memory you see Here and if it uses shaded GP Memory it will be 10 Maybe
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00:05:16 shaded GP Memory it will be 10 Maybe even More Slower so You Will Get
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00:05:19 even More Slower so You Will Get terrible Training
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00:05:21 terrible Training speeds i willst this video twit will of pat i
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00:05:28 speeds i willst this video twit will of pat i will also post this in linkedin
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00:05:31 will also post this in linkedin the link will be in the com section of
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00:05:34 the link will be in the com section of the linkedin and i will post on Other
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00:05:36 the linkedin and i will post on Other platforms so Make sure that you Check
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00:05:39 platforms so Make sure that you Check the link of this patreon post Wherever i
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00:05:42 the link of this patreon post Wherever i have posted ok
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00:05:44 have posted ok Let's Watch the Training
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00:05:48 Let's Watch the Training progress and the Training has started
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00:05:50 progress and the Training has started you see it is using
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00:05:52 you see it is using 19.5 GB vram and We Are Not even using
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00:05:56 19.5 GB vram and We Are Not even using xers To reduce vam usage Speed up am Now
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00:06:01 xers To reduce vam usage Speed up am Now recording a video with also Voice
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00:06:04 recording a video with also Voice cleaning it is Super slow than it should
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00:06:08 cleaning it is Super slow than it should be so This is how you do Training on
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00:06:11 be so This is how you do Training on Windows Now i will Show the Training on Run
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00:06:14 Windows Now i will Show the Training on Run before showing the models will be saved
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00:06:18 before showing the models will be saved in this folder remember that You
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00:06:20 in this folder remember that You Will Find your full checkpoints
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00:06:23 Will Find your full checkpoints there so to do Training on R
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00:06:27 there so to do Training on R log Need
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00:06:35 gel maxum exed
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00:06:38 exed rx90 good
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00:06:40 rx90 good one's let selectable diffusion We
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00:06:44 one's let selectable diffusion We template Select container 15 set override continue deploy
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00:06:47 template Select container 15 set override continue deploy Let's go to
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00:06:58 mys Wow Another forten w D have lost so much money Because
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00:07:12 Of ok it is starting i have also automatic installer
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00:07:15 starting i have also automatic installer for R for koh open the R tutorial
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00:07:20 for R for koh open the R tutorial link You Will Find automatic
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00:07:24 link You Will Find automatic installer
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00:07:27 installer exps easy to
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00:07:48 Jupiter ok first Let's upload relaunch from download Here relaunch
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00:08:07 ok Connect you need to do restart One Time
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00:08:16 important ok rest hased Let's go to workspace let upload
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00:08:19 hased Let's go to workspace let upload the
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00:08:21 the inster
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00:08:23 inster terminal
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00:08:26 terminal [Music]
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00:08:28 [Music] instructions so We Just need to run this Let
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00:08:32 instructions so We Just need to run this Let 's run it it will install the
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00:08:36 's run it it will install the kya meanwhile Auto installation is going
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00:08:39 kya meanwhile Auto installation is going on let's upload our Training images so i
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00:08:42 on let's upload our Training images so i make a Train folder Let's Click
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00:08:45 make a Train folder Let's Click upload from Pictures and me size 1024 Let
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00:08:51 upload from Pictures and me size 1024 Let 's upload them you can also download
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00:08:54 's upload them you can also download the regularization
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00:08:55 the regularization images so to Find the best
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00:08:57 images so to Find the best regularization images Let's go to
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00:08:59 regularization images Let's go to patreon Exclusive post index from
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00:09:29 Here ok from Here sorry was a some delay Search this massive 4K resolution
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00:09:33 delay Search this massive 4K resolution woman and Man Class Ground images dataset
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00:09:35 woman and Man Class Ground images dataset All instructions are WR Here you
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00:09:39 All instructions are WR Here you can download All of The links from Here
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00:09:41 can download All of The links from Here but for Now i w use regularization
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00:09:44 but for Now i w use regularization images and our images are uploaded into
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00:09:47 images and our images are uploaded into Train
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00:09:49 Train directory i also latest regularization images
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00:09:53 directory i also latest regularization images dat link to Dream configuration
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00:09:58 dat link to Dream configuration files
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00:10:34 the prev started instance with Command let me Show this
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00:10:40 with Command let me Show this you see hit enter And it will Kill the
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00:10:42 you see hit enter And it will Kill the previously started instance Now When i
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00:10:46 previously started instance Now When i Look at the gpu Memory i will see Zer
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00:10:49 Look at the gpu Memory i will see Zer Per usage also This is Now
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00:10:53 Per usage also This is Now Gone Let's just have a little bit More until
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00:10:57 Gone Let's just have a little bit More until This is getting refresh
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00:10:59 This is getting refresh and meanwhile Let's Start our koh
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00:11:03 and meanwhile Let's Start our koh instance so for starting it Just going to Follow
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00:11:06 instance so for starting it Just going to Follow this Command from Here Let's copy paste it
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00:11:10 this Command from Here Let's copy paste it and Let's see Yes you see
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00:11:13 and Let's see Yes you see now gpu Memory Us is % on ramp Make sure
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00:11:18 now gpu Memory Us is % on ramp Make sure that the gpu Memory Us is % before
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00:11:21 that the gpu Memory Us is % before starting
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00:11:23 starting Training ok it started Let's Connect it
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00:11:27 Training ok it started Let's Connect it from shared gradio
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00:11:30 from shared gradio al Right you can also enable this Port this
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00:11:34 al Right you can also enable this Port this
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00:11:41 7860 on your to Connect directly Via Proxy from Here like that all right so
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00:11:45 Proxy from Here like that all right so Now all i need to do is upload My
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00:11:48 Now all i need to do is upload My configuration file into workspace so
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00:11:51 configuration file into workspace so Click upload Let's go to downloads this
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00:11:54 Click upload Let's go to downloads this is my configuration file copy pad then
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00:11:59 is my configuration file copy pad then in the Dre in the configuration Put a
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00:12:02 in the Dre in the configuration Put a Back always put in Run cck load and
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00:12:08 Back always put in Run cck load and entire configuration is loaded First of
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00:12:10 entire configuration is loaded First of all We need to Give the sxl Base version
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00:12:15 all We need to Give the sxl Base version file pad Which is Here so copy
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00:12:18 file pad Which is Here so copy pad remove this put It Like that on R you w
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00:12:22 pad remove this put It Like that on R you w to you
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00:12:36 My Training images ins Train folder CY and Put a Back this i not going to
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00:12:41 CY and Put a Back this i not going to use regularization images in this Case
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00:12:43 use regularization images in this Case but you can use them and the Destination
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00:12:46 but you can use them and the Destination directory Let's Make the Destination
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00:12:48 directory Let's Make the Destination directory inside models of stable
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00:12:50 directory inside models of stable diffusion folder so we will be able to
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00:12:53 diffusion folder so we will be able to use later
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00:12:55 use later automatic stable diffusion aomi
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00:13:40 İmes really Fast and we will see the Speed wait up to 10 minutes to see How
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00:13:45 Speed wait up to 10 minutes to see How much Speed it will Get currently it is
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00:13:48 much Speed it will Get currently it is 1.4 Seconds Per it Which is very decent
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00:13:52 1.4 Seconds Per it Which is very decent soti is
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00:14:01 to Memory Used am here GP utilization Here it is using 70
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00:14:15 so it is only using like 16.8 GB vram so You Can Do this Training on 20 gab model
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00:14:18 You Can Do this Training on 20 gab model As Well on 20 gab gpu As Well if you also enable
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00:14:21 As Well on 20 gab gpu As Well if you also enable
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00:15:18 Let's download our prompt list PDF file from Here so Let's
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00:15:22 prompt list PDF file from Here so Let's Open our prom list and We
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00:15:25 Open our prom list and We have of promt here As Well so Which image do i
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00:15:30 have of promt here As Well so Which image do i want to generate Let's
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00:15:34 want to generate Let's generate images in this Style cck download
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00:15:36 generate images in this Style cck download it will download the image Save
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00:15:39 it will download the image Save As into the downloads Let's go to the
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00:15:42 As into the downloads Let's go to the stable diffusion png info Let's load it
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00:15:45 stable diffusion png info Let's load it from Here so it will load All of The
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00:15:47 from Here so it will load All of The parameters let Send to the Generation
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00:15:51 parameters let Send to the Generation also i will Select my best model from
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00:15:54 also i will Select my best model from Here i using fp
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00:15:57 Here i using fp 16xl so also going to use
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00:16:02 16xl so also going to use After detailer with Let's Say denoising
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00:16:07 After detailer with Let's Say denoising Zer 40
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00:16:10 Zer 40 Per Let's Make the sampling steps 4 and Let's generate 12 images
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00:16:14 Per Let's Make the sampling steps 4 and Let's generate 12 images
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00:17:18 using After detailer some of the images will have lesser degree of stylization
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00:17:22 will have lesser degree of stylization and will have More realism so you can
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00:17:24 and will have More realism so you can Delete this phot and try again or reduce
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00:17:27 Delete this phot and try again or reduce the in painting masking Deno strength or
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00:17:32 the in painting masking Deno strength or Turn off After detailer When generating
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00:17:34 Turn off After detailer When generating stylized images but the results are
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00:17:36 stylized images but the results are amazing you can Get amazing images with
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00:17:39 amazing you can Get amazing images with this strategy i also have so many Other
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00:17:43 this strategy i also have so many Other amazing proms in that prom list so you
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00:17:47 amazing proms in that prom list so you can also use that prom list to generate
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00:17:50 can also use that prom list to generate amazing images let me Show some of the
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00:17:53 amazing images let me Show some of the images i generated with this Dre
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00:17:56 images i generated with this Dre tutorial configuration and
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00:17:59 tutorial configuration and amaz
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00:18:07 forle and i have even mod Now the model i generated these
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00:18:08 i generated these images so i am also still working on
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00:18:12 images so i am also still working on finding even better configuration
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00:18:15 finding even better configuration hopefully before i do The Final tutorial
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00:18:20 hopefully before i do The Final tutorial i will have even better
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00:18:23 i will have even better configuration this so much for
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00:18:27 configuration this so much for pat subbing me and i Hope you Share this
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00:18:31 pat subbing me and i Hope you Share this sharing As Well hope See you later
