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Now You Can Full Fine Tune / DreamBooth Stable Diffusion XL (SDXL) with only 10.3 GB VRAM via OneTrainer — Both U-NET and Text Encoder 1 is trained — Compared 14 GB config vs slower 10.3 GB Config
Now You Can Full Fine Tune / DreamBooth Stable Diffusion XL (SDXL) with only 10.3 GB VRAM via OneTrainer — Both U-NET and Text Encoder 1 is trained — Compared 14 GB config vs slower 10.3 GB Config
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Full config and instructions are shared here : 
Full config and instructions are shared here : 
link
https://www.patreon.com/posts/96028218
https://www.patreon.com/posts/96028218
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Used SG161222/RealVisXL_V4.0 as a base model and OneTrainer to train on Windows 10 : 
Used SG161222/RealVisXL_V4.0 as a base model and OneTrainer to train on Windows 10 : 
link
https://github.com/Nerogar/OneTrainer
https://github.com/Nerogar/OneTrainer
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The posted example x/y/z checkpoint comparison images are not cherry picked. So I can get perfect images with multiple tries.
The posted example x/y/z checkpoint comparison images are not cherry picked. So I can get perfect images with multiple tries.
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Trained 150 epochs, 15 images and used my ground truth 5200 regularization images : 
Trained 150 epochs, 15 images and used my ground truth 5200 regularization images : 
link
https://www.patreon.com/posts/massive-4k-woman-87700469
https://www.patreon.com/posts/massive-4k-woman-87700469
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In each epoch only 15 of regularization images used to make DreamBooth training affect
In each epoch only 15 of regularization images used to make DreamBooth training affect
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As a caption only “ohwx man” is used, for regularization images just “man”
As a caption only “ohwx man” is used, for regularization images just “man”
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You can download configs and full instructions here : 
You can download configs and full instructions here : 
link
https://www.patreon.com/posts/96028218
https://www.patreon.com/posts/96028218
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Hopefully full public tutorial coming within 2 weeks. I will show all configuration as well
Hopefully full public tutorial coming within 2 weeks. I will show all configuration as well
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The tutorial will be on our channel : 
The tutorial will be on our channel : 
link
https://www.youtube.com/SECourses
https://www.youtube.com/SECourses
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Training speeds are as below thus durations:
Training speeds are as below thus durations:
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RTX 3060 — slow preset : 3.72 second / it thus 15 train images 150 epoch  2 (reg images concept) : 4500 steps = 4500  3.72 / 3600 = 4.6 hours
RTX 3060 — slow preset : 3.72 second / it thus 15 train images 150 epoch  2 (reg images concept) : 4500 steps = 4500  3.72 / 3600 = 4.6 hours
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RTX 3090 TI — slow preset : 1.58 second / it thus : 4500 * 1.58 / 3600 = 2 hours
RTX 3090 TI — slow preset : 1.58 second / it thus : 4500 * 1.58 / 3600 = 2 hours
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RTX 3090 TI — fast preset : 1.45 second / it thus : 4500 * 1.45 / 3600 = 1.8 hours
RTX 3090 TI — fast preset : 1.45 second / it thus : 4500 * 1.45 / 3600 = 1.8 hours
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A quick tutorial for how to use concepts in OneTrainer : 
A quick tutorial for how to use concepts in OneTrainer : 
link
https://youtu.be/yPOadldf6bI
https://youtu.be/yPOadldf6bI
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Now You Can Full Fine Tune / DreamBooth Stable Diffusion XL (SDXL) with only 10.3 GB VRAM via OneTrainer — Both U-NET and Text Encoder 1 is trained — Compared 14 GB config vs slower 10.3 GB Config

Full config and instructions are shared here : https://www.patreon.com/posts/96028218

Used SG161222/RealVisXL_V4.0 as a base model and OneTrainer to train on Windows 10 : https://github.com/Nerogar/OneTrainer

The posted example x/y/z checkpoint comparison images are not cherry picked. So I can get perfect images with multiple tries.

Trained 150 epochs, 15 images and used my ground truth 5200 regularization images : https://www.patreon.com/posts/massive-4k-woman-87700469

In each epoch only 15 of regularization images used to make DreamBooth training affect

As a caption only “ohwx man” is used, for regularization images just “man”
You can download configs and full instructions here : https://www.patreon.com/posts/96028218

Hopefully full public tutorial coming within 2 weeks. I will show all configuration as well

The tutorial will be on our channel : https://www.youtube.com/SECourses
Training speeds are as below thus durations:

RTX 3060 — slow preset : 3.72 second / it thus 15 train images 150 epoch  2 (reg images concept) : 4500 steps = 4500  3.72 / 3600 = 4.6 hours

RTX 3090 TI — slow preset : 1.58 second / it thus : 4500 * 1.58 / 3600 = 2 hours

RTX 3090 TI — fast preset : 1.45 second / it thus : 4500 * 1.45 / 3600 = 1.8 hours

A quick tutorial for how to use concepts in OneTrainer : https://youtu.be/yPOadldf6bI



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