Yup, those look same s/it as mine, really glad you tested it, was going crazy thinking I was doing s
Yup, those look same s/it as mine, really glad you tested it, was going crazy thinking I was doing something wrong 
Fyep no error at your side
Fblock swapping slower than before
Gah ok, thanks a lot for double checking it. Guess there's nothing we can do then right other than hope the dev fixes it at some point?
Fprobably. it is really weird how it is broken somehow
GHey I'm new around here and have very little coding knowledge, but I'm getting these error messages when installing ultimate image processing V15 on massedcompute. Would appreciate any help 
Thanks
Thanks
SI followed this post. I got YOLO/SAM2 Detected Images, but I don't get the cropped images..
SI got this image, but not the cropped one.
Ffirst one not error
Fbut second one is
Flet me test
Fyou selected this right @g7ants80
Fit doesnt crop
Fwhat you need exactly?
Fi mean it crops to aspect ratio not the target
Fif you tell me what you need i may code it
Fhello sorry for this error fixed with v17
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
SIt's working now, I am using version 11, and it works with version 11. sir! We can do it easily with other software like birme.org, xnConvert or other online tools.
NFyes
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 trainingLoRA type must be set to 'Flux1', 'Flux1 OFT' or 'LyCORIS' if Flux1 checkbox is checked.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