you need a big dataset
you need a big dataset
Fproper captioning
Fand training
HHow big to be exact?
Do I need 100+ image? or 1000+?
And for the captions, is it ok to use captioning tools such as blip or wd1.4? It seems impossible to manually caption thousands of images. Thanks.
Do I need 100+ image? or 1000+?
And for the captions, is it ok to use captioning tools such as blip or wd1.4? It seems impossible to manually caption thousands of images. Thanks.
Fyou want to do a model like real vis XL 4?
Fyou need 10s of thousands high quality image to fine to SDXL base into such model
Fyou can use CogVLM for captioning
Fespecially CogVLM v2
HI'm wondering if the Dreambooth method would be effective for training with 10,000 high-quality images. Based on the publicly available SDXL base model, there are various fine-tuning methods such as Dreambooth, LoRA, HyperNetwork, and Textual Inversion. From what I know, Dreambooth seems to be the most appropriate. I would appreciate it if you could share any specifically recommended methods for the final training process you emphasized, or if there are any noteworthy precedents for training with such a large dataset.
(P.S. I've watched all of your fine-tuning tutorial videos on YouTube multiple times. I'm a big fan! Thank you!)
(P.S. I've watched all of your fine-tuning tutorial videos on YouTube multiple times. I'm a big fan! Thank you!)
Fdreambooth without class images = fine tuning
Fit is best method
Hby without class images you mean without regularization images right?
Fclass = reg same meaning
HOkay thanks a lot! Lastly, I'm curious if it would be appropriate to use a dynamic optimizer in this case as well. I've consistently used the Prodigy optimizer and cosine LR scheduler with LoRA, and I'm wondering if they would be effective when training with a large number of images.
Of course, frequent experimentation should be prioritized, but it would be greatly helpful if there's any guidance on where to set the starting point. Thank you!
Of course, frequent experimentation should be prioritized, but it would be greatly helpful if there's any guidance on where to set the starting point. Thank you!
Fi tested them and i found adafactor works better
Fbut it is a choice
Fbefore doing a big training
Fmake smaller ones and see if works
HThanks bunch. I'll try smaller version first and share the results if it turns out to be ok.
SDr Furkan iS POSIBLE TO USE STABLE DIFUSION 3 for training in one trainer?
Fi think yes
Fbut i havent had chance yet
Fi plan hopefully soon
STHank you you are very kind
Fyou are welcome
SI'm having trouble adding models to Kohya. Want to add real vis XL 4 but can't find where to put the safetesnor file I downloaded
Fwhere did you download windows=?
SRunnin Kohya through stability matrix
SI'm on windows 11
Fok just give your path
Fby the way i dont suggest stability matrix
SOk, my path to Kohya? Just not sure where to drop the safetensor file into. I tried to put it in Kohya's models folder already but it's not showing up in Kohya
SC:\StabilityMatrix\Data\Packages\kohya_ss
Fplease watch this tutorial
FYouTubeSECourses
In this tutorial, you will learn how to install Automatic1111 Web UI for SDXL. How to use LoRAs with Automatic1111 SD Web UI. How to install Kohya SS GUI scripts to do Stable Diffusion training. How to train LoRAs on SDXL model with least amount of VRAM using settings. All of the details, tips and tricks of Kohya trainings. How to do x/y/z plot ...
Fit is for lora but only cofig changes when doing dreambooth
SI just use matrix as a one stop shop and everything is mostly organised, most models are shared between all programs but Kohya doesn't share them for me. thanks alot for the link
Fyou are welcome
MHi everyone, I just saw these tutorials (The END of Photography, Ultimate RunPod Tutorial For Stable Diffusion) and I want to know if there is any documentation explaining how to use automatic1111 and dreambooth in Runpod but using endpoints.
Fhi welcome
Fas i replied on patreon
Fi never tried serverless
Fit is useful only for compaines
LAny tips for cartoon character lora training?
Which caption approach and which caption tool would you advise?
Running locally on 16G vram, 4080. Using Kohya.
@Furkan Gözükara SECourses no rush, tagging for visibility.
Which caption approach and which caption tool would you advise?
Running locally on 16G vram, 4080. Using Kohya.
@Furkan Gözükara SECourses no rush, tagging for visibility.
JHi everyone. I just finished learning basics of python. I wanna build up my experience, so I hope I can work on real-world projects for free. How can I get that kind of opportunity?
Fprepare a good dataset over 200 images
Ffor captioning i usually test different captioners
Fyou can locally use llava or cog vlm v1
Fyou can watch channels and see if anyone post job offer
JI am not seek a job offer for money, I wanna learn from a seasoned developer while I am working for him for free.