Fyes
GThank you! I'll see if it works now
GGetting this now when I start training
GAnyone have any idea what GPU on MssedCompute is the closest equivalent to RTX 5090's 3s/it for finetuning? (single only, not duals). Feel the need for speed :p
Fit tells you the error
Fdid you set your training images folder?
Fh100 faster
Fa100 can be close
GThanks Doc 
DI am currently following and running the training from: https://www.patreon.com/posts/kohya-flux-fine-112099700
Once the training is finished, can the output file be used as a LoRA data file in ComfyUI using the Flux model?
Sorry if my question is confusing, as I am still a beginner.
Thank you!
Once the training is finished, can the output file be used as a LoRA data file in ComfyUI using the Flux model?
Sorry if my question is confusing, as I am still a beginner.
Thank you!
Patreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
DI am a beginner and would like to ask:
If I train a model using FLUX Full Fine-Tuning or DreamBooth, can the resulting trained file be used as a LoRA model in a ComfyUI workflow?
Sorry if my question is basic, I am still learning. Thank you!
If I train a model using FLUX Full Fine-Tuning or DreamBooth, can the resulting trained file be used as a LoRA model in a ComfyUI workflow?
Sorry if my question is basic, I am still learning. Thank you!
JHi, thanks for your excellent tutorials and articles.
I'm having an issue with runpods and LoRA. I completed some tests locally and know have started over with runpods. When I
Am I missing something else?
Disregard, loading different base configs seemed to fix it.
start training I get an error you've been asked about before; LoRA type must be set to 'Flux1', 'Flux1 OFT' or 'LyCORIS' if Flux1 checkbox is checked. You've said to another user that they've set the model path incorrect, well my model is in the /workspace/ folder and my path is set as such. I've removed the model and downloaded it fresh, but the error persists, sadly.Disregard, loading different base configs seemed to fix it.
F100%
Bfor what reason do we extract lora after dreambooth?
DHello, I’m still a beginner and learning through SECourses, so I apologize if my question is unclear.
I successfully trained a character using Flux Full Fine Tuning (or DreamBooth), and I tested the result in ComfyUI as a UNet model (without using flux1.Dev). The results were very realistic and successful.
Now I’m wondering:
I successfully trained a character using Flux Full Fine Tuning (or DreamBooth), and I tested the result in ComfyUI as a UNet model (without using flux1.Dev). The results were very realistic and successful.
Now I’m wondering:
- Can this trained model be used as a replacement for Flux Kontent?
- Or, can I use Flux Kontent and combine it with my trained model as a LoRA?
Fif you need lora
Fotherwise you dont need and i dont recommned dreambooth works better
F1 : nope different model
F2 : nope sadly
Fbut i didnt test lora on kontext yet so cant say for 100%
�I want to fine tune on a specific quality type of images of women. Not 1 character, but I want the fine tune to be able to generate woman with same quality as training data. Say I have pics of 5 to 10 different women of multiple shapes, hair, body, ethnicity etc. How many pics would be needed for a high quality finetune? Ideally it should be able to generate women not in the training set, I.e. an Arab woman, but with same quality as training pics. Unsure how to proceed, only done fine tune with 1 character so far. I guess captions should be needed here.
Fyou may try bigger fine tunes people published with good prompting
Fotherwise you are looking for rather general fine tune
Fso you need more images the better and use good captions
HHello! I am trying to get the kaggle notebook to run "kohya-sdxl-lora-training-on-a-free-kaggle-notebook_v28", but the moment I import it just starts downloading a ton of dependencies automatically. I did not see this in the tutorial. What is the expected behavior? Thanks in advance
HAlso, I can seem to edit the GPUs or the folder directories to point to training images
CHey, just wanted to throw this here FYI in case you're looking for STAR alternatives within your APP, you can check if you want, they claim to be better than STAR, however, I haven't been able to test it out.
https://github.com/yjsunnn/DLoRAL?tab=readme-ov-file
https://github.com/yjsunnn/DLoRAL?tab=readme-ov-file
GitHub
Official Implementation of “One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution” - yjsunnn/DLoRAL
Fyes we had to update a lot
Fyes you have to edit them
Fi just checked
Flooks weak
HI got it to work now!
Fgreat
UHello,
I'm using the configuration you have been using for 48 gb ram. I rented an H100 GPU with 20 image dataset but the images generated after training does not even match with my training data. Where do you think I might be going wrong? all the parameters are loaded from 15 image dataset config file. Can you please advise?
I'm using the configuration you have been using for 48 gb ram. I rented an H100 GPU with 20 image dataset but the images generated after training does not even match with my training data. Where do you think I might be going wrong? all the parameters are loaded from 15 image dataset config file. Can you please advise?
Fwhich config you used which zip file
Fplease more info
UI used 48GB_GPU_28200MB_6.3_second_it_Tier_1.json
Fok it is a dreambooth config. did you load into dreambooth tab?
Fproperly did set training images folder?
Falso we have an example dataset
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
Uyes I'm loading them in the dream booth tab. I also am loading the training images properly but just to be sure is there a way for me to know if the training images are being loaded properly or not?
UI can see the folder being created after clicking prepare training data
Fok this is accurate
Fyou can look at the cmd logs
Fto see
Fif you copy paste here i can understand