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Huge FLUX LoRA vs Fine Tuning / DreamBooth Experiments Completed, Moreover Batch Size 1 vs 7 Fully Tested as Well, Not Only for Realism But Also for Stylization - 15 vs 256 images having datasets compared as well (expressions / emotions tested too) - Used Kohya GUI for training
Huge FLUX LoRA vs Fine Tuning / DreamBooth Experiments Completed, Moreover Batch Size 1 vs 7 Fully Tested as Well, Not Only for Realism But Also for Stylization - 15 vs 256 images having datasets compared as well (expressions / emotions tested too) - Used Kohya GUI for training
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Full files and article : 
Full files and article : 
link
https://www.patreon.com/posts/112099700
https://www.patreon.com/posts/112099700
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Download images in full resolution to see prompts and model names
Download images in full resolution to see prompts and model names
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All trainings are done with Kohya GUI, perfectly can be done locally on Windows, and all trainings were 1024x1024 pixels
All trainings are done with Kohya GUI, perfectly can be done locally on Windows, and all trainings were 1024x1024 pixels
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Fine Tuning / DreamBooth works as low as 6 GB GPUs (0 quality degrade totally same as 48 GB config)
Fine Tuning / DreamBooth works as low as 6 GB GPUs (0 quality degrade totally same as 48 GB config)
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Best quality of LoRA requires 48 GB GPUs , 24 GB also works really good and minimum 8 GB GPU is necessary for LoRA (lots of quality degrade)
Best quality of LoRA requires 48 GB GPUs , 24 GB also works really good and minimum 8 GB GPU is necessary for LoRA (lots of quality degrade)
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Full size grids are also shared for the followings: 
Full size grids are also shared for the followings: 
link
https://www.patreon.com/posts/112099700
https://www.patreon.com/posts/112099700
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Additionally, I have shared full training entire logs that you can see each checkpoint took time. I have shared best checkpoints, their step count and took time according to being either LoRA, Fine Tuning or Batch size 1 or 7 or 15 images or 256 images, so a very detailed article regarding completed.
Additionally, I have shared full training entire logs that you can see each checkpoint took time. I have shared best checkpoints, their step count and took time according to being either LoRA, Fine Tuning or Batch size 1 or 7 or 15 images or 256 images, so a very detailed article regarding completed.
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Check the images to see all shared files in the post.
Check the images to see all shared files in the post.
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Furthermore, a very very detailed analysis having article written and all latest DreamBooth / Fine Tuning configs and LoRA configs are shared with Kohya GUI installers for both Windows, Runpod and Massed Compute.
Furthermore, a very very detailed analysis having article written and all latest DreamBooth / Fine Tuning configs and LoRA configs are shared with Kohya GUI installers for both Windows, Runpod and Massed Compute.
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Moreover, I have shared new 28 realism and 37 stylization testing prompts.
Moreover, I have shared new 28 realism and 37 stylization testing prompts.
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Current tutorials are as below:
Current tutorials are as below:
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Windows requirements CUDA, Python, cuDNN, and such : 
Windows requirements CUDA, Python, cuDNN, and such : 
link
https://youtu.be/DrhUHnYfwC0
https://youtu.be/DrhUHnYfwC0
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How to use SwarmUI : 
How to use SwarmUI : 
link
https://youtu.be/HKX8_F1Er_w
https://youtu.be/HKX8_F1Er_w
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How to use FLUX on SwarmUI : 
How to use FLUX on SwarmUI : 
link
https://youtu.be/bupRePUOA18
https://youtu.be/bupRePUOA18
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How to use Kohya GUI for FLUX training : 
How to use Kohya GUI for FLUX training : 
link
https://youtu.be/nySGu12Y05k
https://youtu.be/nySGu12Y05k
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How to use Kohya GUI for FLUX training on Cloud (RunPod and Massed Compute) : 
How to use Kohya GUI for FLUX training on Cloud (RunPod and Massed Compute) : 
link
https://youtu.be/-uhL2nW7Ddw
https://youtu.be/-uhL2nW7Ddw
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Huge FLUX LoRA vs Fine Tuning / DreamBooth Experiments Completed, Moreover Batch Size 1 vs 7 Fully Tested as Well, Not Only for Realism But Also for Stylization - 15 vs 256 images having datasets compared as well (expressions / emotions tested too) - Used Kohya GUI for training

Full files and article : https://www.patreon.com/posts/112099700

Download images in full resolution to see prompts and model names

All trainings are done with Kohya GUI, perfectly can be done locally on Windows, and all trainings were 1024x1024 pixels

Fine Tuning / DreamBooth works as low as 6 GB GPUs (0 quality degrade totally same as 48 GB config)

Best quality of LoRA requires 48 GB GPUs , 24 GB also works really good and minimum 8 GB GPU is necessary for LoRA (lots of quality degrade)

Full size grids are also shared for the followings: https://www.patreon.com/posts/112099700

Additionally, I have shared full training entire logs that you can see each checkpoint took time. I have shared best checkpoints, their step count and took time according to being either LoRA, Fine Tuning or Batch size 1 or 7 or 15 images or 256 images, so a very detailed article regarding completed.

Check the images to see all shared files in the post.

Furthermore, a very very detailed analysis having article written and all latest DreamBooth / Fine Tuning configs and LoRA configs are shared with Kohya GUI installers for both Windows, Runpod and Massed Compute.

Moreover, I have shared new 28 realism and 37 stylization testing prompts.

Current tutorials are as below:

Windows requirements CUDA, Python, cuDNN, and such : https://youtu.be/DrhUHnYfwC0

How to use SwarmUI : https://youtu.be/HKX8_F1Er_w

How to use FLUX on SwarmUI : https://youtu.be/bupRePUOA18

How to use Kohya GUI for FLUX training : https://youtu.be/nySGu12Y05k

How to use Kohya GUI for FLUX training on Cloud (RunPod and Massed Compute) : https://youtu.be/-uhL2nW7Ddw


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