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Huge news for Kohya GUI - Now you can fully Fine Tune / DreamBooth FLUX Dev with as low as 6 GB GPUs without any quality loss compared to 48 GB GPUs - Moreover, Fine Tuning yields better results than any LoRA training could
Huge news for Kohya GUI - Now you can fully Fine Tune / DreamBooth FLUX Dev with as low as 6 GB GPUs without any quality loss compared to 48 GB GPUs - Moreover, Fine Tuning yields better results than any LoRA training could
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Config Files
Config Files
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I published all configs here : 
I published all configs here : 
link
https://www.patreon.com/posts/112099700
https://www.patreon.com/posts/112099700
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Tutorials
Tutorials
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Fine tuning tutorial in production
Fine tuning tutorial in production
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Windows FLUX LoRA training (fine tuning is same just config changes) : 
Windows FLUX LoRA training (fine tuning is same just config changes) : 
link
https://youtu.be/nySGu12Y05k
https://youtu.be/nySGu12Y05k
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Cloud FLUX LoRA training (RunPod and Massed Compute ultra cheap) : 
Cloud FLUX LoRA training (RunPod and Massed Compute ultra cheap) : 
link
https://youtu.be/-uhL2nW7Ddw
https://youtu.be/-uhL2nW7Ddw
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LoRA Extraction
LoRA Extraction
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The checkpoint sizes are 23.8 GB but you can extract LoRA with almost no loss quality - I made a research and public article / guide for this as well
The checkpoint sizes are 23.8 GB but you can extract LoRA with almost no loss quality - I made a research and public article / guide for this as well
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LoRA extraction guide from Fine Tuned checkpoint is here : 
LoRA extraction guide from Fine Tuned checkpoint is here : 
link
https://www.patreon.com/posts/112335162
https://www.patreon.com/posts/112335162
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Info
Info
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This is just mind blowing. The recent improvements Kohya made for block swapping is just amazing.
This is just mind blowing. The recent improvements Kohya made for block swapping is just amazing.
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Speeds are also amazing that you can see in image 2 - of course those values are based on my researched config and tested on RTX A6000 - same speed as almost RTX 3090
Speeds are also amazing that you can see in image 2 - of course those values are based on my researched config and tested on RTX A6000 - same speed as almost RTX 3090
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Also all trainings experiments are made at 1024x1024px. If you use lower resolution it will be lesser VRAM + faster speed
Also all trainings experiments are made at 1024x1024px. If you use lower resolution it will be lesser VRAM + faster speed
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The VRAM usages would change according to your own configuration - likely speed as well
The VRAM usages would change according to your own configuration - likely speed as well
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Moreover, Fine Tuning / DreamBooth yields better results than any LoRA could
Moreover, Fine Tuning / DreamBooth yields better results than any LoRA could
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Installers
Installers
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1-Kohya GUI accurate branch and Windows Torch 2.5 Installers and test prompts shared here : 
1-Kohya GUI accurate branch and Windows Torch 2.5 Installers and test prompts shared here : 
link
https://www.patreon.com/posts/110879657
https://www.patreon.com/posts/110879657
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The link of Kohya GUI with accurate branch : 
The link of Kohya GUI with accurate branch : 
link
https://github.com/bmaltais/kohya_ss/tree/sd3-flux.1
https://github.com/bmaltais/kohya_ss/tree/sd3-flux.1
Huge news for Kohya GUI - Now you can fully Fine Tune / DreamBooth FLUX Dev with as low as 6 GB GPUs without any quality loss compared to 48 GB GPUs - Moreover, Fine Tuning yields better results than any LoRA training could

Config Files
I published all configs here : https://www.patreon.com/posts/112099700

Tutorials
Fine tuning tutorial in production

Windows FLUX LoRA training (fine tuning is same just config changes) : https://youtu.be/nySGu12Y05k

Cloud FLUX LoRA training (RunPod and Massed Compute ultra cheap) : https://youtu.be/-uhL2nW7Ddw

LoRA Extraction
The checkpoint sizes are 23.8 GB but you can extract LoRA with almost no loss quality - I made a research and public article / guide for this as well

LoRA extraction guide from Fine Tuned checkpoint is here : https://www.patreon.com/posts/112335162

Info
This is just mind blowing. The recent improvements Kohya made for block swapping is just amazing.

Speeds are also amazing that you can see in image 2 - of course those values are based on my researched config and tested on RTX A6000 - same speed as almost RTX 3090

Also all trainings experiments are made at 1024x1024px. If you use lower resolution it will be lesser VRAM + faster speed

The VRAM usages would change according to your own configuration - likely speed as well

Moreover, Fine Tuning / DreamBooth yields better results than any LoRA could

Installers
1-Kohya GUI accurate branch and Windows Torch 2.5 Installers and test prompts shared here : https://www.patreon.com/posts/110879657

The link of Kohya GUI with accurate branch : https://github.com/bmaltais/kohya_ss/tree/sd3-flux.1
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