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How to Extract LoRA from FLUX Fine Tuning / DreamBooth Training Full Tutorial and Comparison Between Fine Tuning vs Extraction vs LoRA Training
How to Extract LoRA from FLUX Fine Tuning / DreamBooth Training Full Tutorial and Comparison Between Fine Tuning vs Extraction vs LoRA Training
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Full article is here public post : 
Full article is here public post : 
link
https://www.patreon.com/posts/112335162
https://www.patreon.com/posts/112335162
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This was short on length so check out the full article - public post
This was short on length so check out the full article - public post
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Conclusions as below
Conclusions as below
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Conclusions
Conclusions
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With same training dataset (15 images used), same number of steps (all compared trainings are 150 epoch thus 2250 steps), almost same training duration, Fine Tuning / DreamBooth training of FLUX yields the very best results
With same training dataset (15 images used), same number of steps (all compared trainings are 150 epoch thus 2250 steps), almost same training duration, Fine Tuning / DreamBooth training of FLUX yields the very best results
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So yes Fine Tuning is the much better than LoRA training itself
So yes Fine Tuning is the much better than LoRA training itself
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Amazing resemblance, quality with least amount of overfitting issue
Amazing resemblance, quality with least amount of overfitting issue
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Moreover, extracting a LoRA from Fine Tuned full checkpoint, yields way better results from LoRA training itself
Moreover, extracting a LoRA from Fine Tuned full checkpoint, yields way better results from LoRA training itself
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Extracting LoRA from full trained checkpoints were yielding way better results in SD 1.5 and SDXL as well
Extracting LoRA from full trained checkpoints were yielding way better results in SD 1.5 and SDXL as well
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Comparison of these 3 is made in Image 5 (check very top of the images to see)
Comparison of these 3 is made in Image 5 (check very top of the images to see)
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640 Network Dimension (Rank) FP16 LoRA takes 6.1 GB disk space
640 Network Dimension (Rank) FP16 LoRA takes 6.1 GB disk space
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You can also try 128 Network Dimension (Rank) FP16 and different LoRA strengths during inference to make it closer to Fine Tuned model
You can also try 128 Network Dimension (Rank) FP16 and different LoRA strengths during inference to make it closer to Fine Tuned model
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Moreover, you can try Resize LoRA feature of Kohya GUI but hopefully it will be my another research and article later
Moreover, you can try Resize LoRA feature of Kohya GUI but hopefully it will be my another research and article later
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Image Raw Links
Image Raw Links
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Image 1 : 
Image 1 : 
resource
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_1.png
model
MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_1.png
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Image 2 : 
Image 2 : 
resource
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_2.jfif
model
MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_2.jfif
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Image 3 : 
Image 3 : 
resource
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_3.jfif
model
MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_3.jfif
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Image 4 : 
Image 4 : 
resource
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_4.jfif
model
MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_4.jfif
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Image 5 : 
Image 5 : 
resource
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_5.jpg
model
MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests
https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_5.jpg
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How to Extract LoRA from FLUX Fine Tuning / DreamBooth Training Full Tutorial and Comparison Between Fine Tuning vs Extraction vs LoRA Training

Full article is here public post : https://www.patreon.com/posts/112335162

This was short on length so check out the full article - public post

Conclusions as below

Conclusions
With same training dataset (15 images used), same number of steps (all compared trainings are 150 epoch thus 2250 steps), almost same training duration, Fine Tuning / DreamBooth training of FLUX yields the very best results

So yes Fine Tuning is the much better than LoRA training itself

Amazing resemblance, quality with least amount of overfitting issue

Moreover, extracting a LoRA from Fine Tuned full checkpoint, yields way better results from LoRA training itself

Extracting LoRA from full trained checkpoints were yielding way better results in SD 1.5 and SDXL as well

Comparison of these 3 is made in Image 5 (check very top of the images to see)

640 Network Dimension (Rank) FP16 LoRA takes 6.1 GB disk space

You can also try 128 Network Dimension (Rank) FP16 and different LoRA strengths during inference to make it closer to Fine Tuned model

Moreover, you can try Resize LoRA feature of Kohya GUI but hopefully it will be my another research and article later

Image Raw Links
Image 1 : https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_1.png

Image 2 : https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_2.jfif

Image 3 : https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_3.jfif

Image 4 : https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_4.jfif

Image 5 : https://huggingface.co/MonsterMMORPG/FLUX-Fine-Tuning-Grid-Tests/resolve/main/Image_5.jpg

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