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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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
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Config Files
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I published all configs here : 
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I published all configs here : 
https://www.patreon.com/posts/112099700
https://www.patreon.com/posts/112099700
link
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Tutorials
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Tutorials
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Fine tuning tutorial in production
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Fine tuning tutorial in production
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Windows FLUX LoRA training (fine tuning is same just config changes) : 
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Windows FLUX LoRA training (fine tuning is same just config changes) : 
https://youtu.be/nySGu12Y05k
https://youtu.be/nySGu12Y05k
link
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Cloud FLUX LoRA training (RunPod and Massed Compute ultra cheap) : 
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Cloud FLUX LoRA training (RunPod and Massed Compute ultra cheap) : 
https://youtu.be/-uhL2nW7Ddw
https://youtu.be/-uhL2nW7Ddw
link
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LoRA Extraction
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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
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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
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LoRA extraction guide from Fine Tuned checkpoint is here : 
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LoRA extraction guide from Fine Tuned checkpoint is here : 
https://www.patreon.com/posts/112335162
https://www.patreon.com/posts/112335162
link
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Info
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Info
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This is just mind blowing. The recent improvements Kohya made for block swapping is just amazing.
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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
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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
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Also all trainings experiments are made at 1024x1024px. If you use lower resolution it will be lesser VRAM + faster speed
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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
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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
text
Moreover, Fine Tuning / DreamBooth yields better results than any LoRA could
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Installers
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Installers
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1-Kohya GUI accurate branch and Windows Torch 2.5 Installers and test prompts shared here : 
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1-Kohya GUI accurate branch and Windows Torch 2.5 Installers and test prompts shared here : 
https://www.patreon.com/posts/110879657
https://www.patreon.com/posts/110879657
link
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The link of Kohya GUI with accurate branch : 
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The link of Kohya GUI with accurate branch : 
https://github.com/bmaltais/kohya_ss/tree/sd3-flux.1
https://github.com/bmaltais/kohya_ss/tree/sd3-flux.1
link
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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