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June 19, 2024

How to Extract LoRA from SDXL & FLUX Fine Tuning / DreamBooth Training Full Tutorial and Comparison Between Fine Tuning vs Extraction vs LoRA Training

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20 June 2025 Full Post Remade / Updated

FLUX LoRA Extract

  • Follow 1st image in the top above images for config and learn how to extract

  • FLUX LoRA extraction can be useful or may not be useful

    • As you extract higher Network Dimension (Rank) you get better results

    • 640 is what I found maximum but you can try further like 672 etc

    • However as you increase Rank, it will take more space

  • If you truly needs FLUX LoRA, I recommend both try extract and also solo training

  • To install Kohya use installer from here : https://www.patreon.com/posts/112099700

  • FLUX DreamBooth / Fine Tuning tutorial : https://youtu.be/FvpWy1x5etM

  • FLUX LoRA Training Tutorial : https://youtu.be/nySGu12Y05k

  • Both tutorials and their configs and files are all up to date

  • Currently I recommend solo LoRA training but each case might be unique

  • Moreover, LoRA extraction fixes the stripe problem when you do 2x latent upscale

  • Latent upscale tutorial and quality difference shown here : https://youtu.be/Xbn93GRQKsQ

SDXL LoRA Extract

  • Follow the 2nd image in the top above images for config

  • If you need SDXL LoRA I really recommend SDXL DreamBooth and then extract LoRA

  • As you extract higher Network Dimension (Rank) you get better results

    • The last image very top shows you the difference of Network Dimension 128 vs 256 vs 512 vs original DreamBooth model

  • If still not sufficient, you can increase LoRA scale / power / weight slightly like 1.1, 1.2 etc

  • SDXL LoRA extract really works well and we don't have well researched SDXL LoRA config atm that will reach to DreamBooth then LoRA extract quality

  • Moreover, I really don't recommend SDXL since it is too inferior to FLUX so unless you have to go with FLUX training

  • Full up-to-date OneTrainer SDXL DreamBooth / Fine Tuning training tutorial : https://youtu.be/0t5l6CP9eBg

  • OneTrainer 1-click installer and updated Presets with screenshots of setting up concepts : https://www.patreon.com/posts/96028218

  • You can also train SDXL with Kohya

  • Kohya Installer here : https://www.patreon.com/posts/112099700

  • Kohya SDXL DreamBooth / Fine Tuning configs are here : https://www.patreon.com/posts/very-best-for-of-89213064

  • Big Kohya DreamBooth / Fine Tuning tutorial for FLUX (i have shown SDXL config usage too) : https://youtu.be/FvpWy1x5etM

  • Quick config use tutorial for Kohya DreamBooth / Fine Tuning : https://youtu.be/EEV8RPohsbw

FLUX LoRA Extract

SDXL LoRA Extract

Comments (20)

J
Juanmyth · June 29, 2025

Is it fp16 better than bf16?

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · June 29, 2025

i think almost same quality but fp16 more preferred

L
Leo · June 15, 2025

Is it possible to extract SDXL Lora in the same way? If there are any settings that need to be adjusted differently from FLUX, please let me know. Thank you always for your guidance.

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · June 17, 2025

yes you can extract https://medium.com/@furkangozukara/stable-diffusion-xl-sdxl-full-dreambooth-model-vs-lora-extraction-comparison-ce0051c10d51

M
Mojahed Rudainee · January 8, 2025

Hello Dr Furkan, I've been trying to extract lora from my fine-tuned model and I end up with this Error: Traceback (most recent call last): File "C:\AI\Kohya\Kohya_GUI_Flux_Installer_v46\kohya_ss\sd-scripts\networks\flux_extract_lora.py", line 219, in svd(**vars(args)) File "C:\AI\Kohya\Kohya_GUI_Flux_Installer_v46\kohya_ss\sd-scripts\networks\flux_extract_lora.py", line 87, in svd value_t = f_tuned.get_tensor(key) safetensors_rust.SafetensorError: File does not contain tensor model.diffusion_model.double_blocks.0.img_attn.proj.weight I have followed your finetuning tutorial and have amazing results, but not sure what I am missing here, I've used the same method you explained here on a random finetuned model on civitai and it works fine!!

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · January 8, 2025

what is your file size? safetensors_rust.Safetensor

H
Hugo Morosini · November 20, 2024

Hello Doc ! can we use the merge_lora script to convert an extracted LoRa from BF16 (or FP16) to FP8 ? Is it going to reduce its size drastically here as well ? If this is the case, this would allow to keep a high rank without compromising too much on storage size. Thanks for your work !

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · November 20, 2024

yes you can use i already made tutorial for this :D https://www.patreon.com/posts/115376830

p
puk · November 19, 2024

Hello Furkan, I have tried all possible settings, but the extracted LoRA file is simply unusable. I trained a DB model of a person, and the results are excellent, but the LoRA shows some similarity at 1.20 but hardly matches the DB results. I get better results when I train the LoRA directly. The dataset consists of 2,500 photos.

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · November 19, 2024

so you extracted with 640 rank, quantile 1 and still not matching? in my case 1.1 weight was very close

J
Jonathan Streeter · November 4, 2024

I was successful - but I have to weight the LORA to 2.75-3 in order to get my subject at all. this affects any other loras i want to run simultaneously...

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · November 4, 2024

wow that is huge. the maximum i needed was 1.1

P
Pablo Montero · October 4, 2024

Ey Furkan, I have last Kohya v24.1.7 installed but it doesn't show the "Extract Flux LORA" tab. Any clue? Thanks

P
Pablo Montero · October 4, 2024

Solved with the script "Update_Kohya_and_Fix_FLUX_Step2"

M
Member · September 22, 2024

Do you have any idea how to convert my UNET fp16 checkpoint into GGUF Q4 quantization?

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · September 22, 2024

sadly i dont know how to do. i asked this kohya and he skipped my question :D i think he doesnt know either

j
jamzsam · September 20, 2024

Hi Dr.Furkan. I have a question. I've heard that Black forest labs will be releasing their open source FLUX Video model soon so I'm looking to upgrade my video card but I'm not sure if I should get a RTX 4090 or a RTX A6000. Is a RTX A6000 worth the extra money? Thanks.

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · September 20, 2024

A6000 has speed of like rtx 3090 sadly. hard to tell if it fits into 24 gb, rtx 4090 would be at least 2x faster, if doesnt fit than rtx a6000 would be better. for example current fine tuning of FLUX doesnt fit into 24 gb thus A6000 is faster on there. personally i am gonna wait RTX 5090 TI which is rumored to be at least 32 GB

B
Brandon · September 19, 2024

To confirm this is to use the lora we trained from your flux Kohya gui tutorial and input into dreambooth tab or how to train a new flux model with dreambooth? I think I get mess up with the finetuning, we are making a new model, but with dream booth its much more accurate and higher quality then using a lora model training. Dreambooth it will create a new model we do not need an preexisting training ,correct?

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · September 20, 2024

dreambooth will generate a new full model (23.8 GB). this is for people who wants to still keep lora but have better quality