Software Engineering Courses (SECourses)•3y ago

I have 8 gb VRAM:) And this settings really helped for me

I have 8 gb VRAM:)
And this settings really helped for me

Aaelvelis I have 8 gb VRAM:) And this settings really helped for me

Furkan Gözükara SECourses•10/10/23, 10:10 PM

nice

Furkan Gözükara SECourses•10/10/23, 10:10 PM

yes --medvram super important

Furkan Gözükara SECourses•10/10/23, 10:10 PM

even 12 gb need it for sdxl

FFurkan Gözükara SECourses even 12 gb need it for sdxl

aelvelisOP•10/10/23, 10:16 PM

Yeah, I compared the SDXL and SD 1.5 images and really the improvements are not worth the increased system requirements for comfortable use. I think it will be at least another year before SDXL is would be fully usable by most people.:)

Aaelvelis Yeah, I compared the SDXL and SD 1.5 images and really the improvements are not ...

Furkan Gözükara SECourses•10/10/23, 10:26 PM

well i relly find SDXL superior

Aaelvelis Yeah, I compared the SDXL and SD 1.5 images and really the improvements are not ...

mtnmecca•10/10/23, 10:29 PM

one area I realized with training on 48 gb vram and using models on 3060 12gb vram was that high quality may have been trained into the model but you can't access (recreate) it with lower vram systems. My trained models have come to life with an upgrade to 4090 24gb vram. I didn't think the difference would be so noticeable. SDXL has much improved prompt response and much higher quality. I recommend that if someone wants both high quality, flexibility and speed runpod or kaggle is the best bet. I wouldn't recommend going back to 1.5 - granted it is an expensive upgrade..

mikemenders•10/10/23, 10:34 PM

Another comparison: Adafactor vs Prodigy.
The Adafactor is slower to train and holds the prompt better on these lora. The lora trained with Prodigy is strong and the training is fast, (4th epoch seems to be good if it's just a face). After that it picks up other features (hair, body shape, tattoos, etc.)
So for a person I prefer Adafactor, for a style or concept I prefer Prodigy, but if you need a realistic person you can use Prodigy for that too, but you may need Clip Skip 2 or 3 for flexibility when generating person images, because Clip Skip 1 is just an image generator, nothing more.

Furkan Gözükara SECourses•10/10/23, 10:37 PM

I am preparing SOTA image captioners

Furkan Gözükara SECourses•10/10/23, 10:37 PM

auto install auto run so easy

picturesonpictures•10/10/23, 11:13 PM

SOTA?

Furkan Gözükara SECourses•10/10/23, 11:16 PM

amazing script coming

Furkan Gözükara SECourses•10/10/23, 11:16 PM

SOTA means state of the art

picturesonpictures•10/10/23, 11:22 PM

ahh. thought it was a model I'd never heard of, lol. I've been looking at blip models to do captioning. but not sure which one would be optimal. it's really the main reason I haven't gotten into LoRA training on sdxl. don't want to spend hours captioning when I can get ai to do it. then all I'd have to do is go back and make sure the captions align with what I'm wanting

Ppicturesonpictures ahh. thought it was a model I'd never heard of, lol. I've been looking at blip m...

Furkan Gözükara SECourses•10/10/23, 11:28 PM

i am preparing best ones

Furkan Gözükara SECourses•10/10/23, 11:28 PM

blip2

picturesonpictures•10/10/23, 11:29 PM

sweet. yeah, I was looking at the blip2 models on the salesforce huggingface. but sooo many models

Furkan Gözükara SECourses•10/10/23, 11:45 PM

SOTA (The Very Best) Image Captioning Models Script For Stable Diffusion And More > https://www.patreon.com/posts/sota-very-best-90744385

Furkan Gözükara SECourses•10/10/23, 11:45 PM

recording a video

BoneChef•10/11/23, 12:28 AM

I'm trying to build a system for creating family portraits where you can put your own pictures of family in it. Do you guys recommend google collab to do the renders? https://youtu.be/e2THe5hhqss?si=uz6BNk635tljw3BI
https://youtu.be/e2THe5hhqss?si=uz6BNk635tljw3BI

BBoneChef I'm trying to build a system for creating family portraits where you can put you...

Furkan Gözükara SECourses•10/11/23, 12:41 AM

colab i dont suggest

Furkan Gözükara SECourses•10/11/23, 12:41 AM

runpod much better

Mmtnmecca one area I realized with training on 48 gb vram and using models on 3060 12gb vr...

aelvelisOP•10/11/23, 12:46 AM

So, I think it makes sense for me to upgrade my GPU to fully work with SDXL. I'm used to using SD locally, so I'm not considering runpod yet, but I'll look into it just in case:).

Aaelvelis So, I think it makes sense for me to upgrade my GPU to fully work with SDXL. I'm...

Furkan Gözükara SECourses•10/11/23, 12:49 AM

yes

Furkan Gözükara SECourses•10/11/23, 12:49 AM

i updraded rtx 3090 just for Stable diffusion

Furkan Gözükara SECourses•10/11/23, 1:05 AM

https://youtu.be/V8iDW8iprqU

YouTubeSECourses

Best Image Captioning Models Scripts 1 Click Install And Use For ...

eyepatch_2022•10/11/23, 2:28 AM

Any tutorial on SDXL training/ creating LORA on Google Colab? I have the pro version so want to utilize that.

Furkan Gözükara SECourses•10/11/23, 2:34 AM

https://twitter.com/GozukaraFurkan/status/1711933282529452115

Eeyepatch_2022 Any tutorial on SDXL training/ creating LORA on Google Colab? I have the pro ver...

Furkan Gözükara SECourses•10/11/23, 2:35 AM

since colab banned free i couldnt make one for it

Furkan Gözükara SECourses•10/11/23, 2:35 AM

i have for free kaggle and also for runpod

Furkan Gözükara SECourses•10/11/23, 2:35 AM

probably kaggle version would work directly on colab

Furkan Gözükara SECourses•10/11/23, 2:35 AM

with just changing folder path

FFurkan Gözükara SECourses with just changing folder path

eyepatch_2022•10/11/23, 2:39 AM

yeah I was thinking the same. I'll try to change the folders and see if it works.
I'll post a link of the working colab here afterwards.

paleolithic•10/11/23, 4:40 AM

I haven’t yet look the workflow for SDXL yet, is it possible to train dreambooth model using a 4090? Or do I have to rent a runpod for that?

JohnDopamine•10/11/23, 5:36 AM

w/ a 4090 you can train locally using DB - basically need 24gb.

Ajay Khrolia•10/11/23, 6:02 AM

Hello @Dr. Furkan Gözükara. I have used s3fs to mount aws s3 bucket onto system. I have used kohya_ss for training using the images from s3fs mounted folder which was successfull. I've mentioned the s3fs folder in additional networks path in settings of sd-webui, but lora files are not showing although they exist in folder.

mayna•10/11/23, 7:47 AM

Hey @Dr. Furkan Gözükara , do you have a .JSON / .TOML file for the best parameters to use in KOhya SS to train a very realistic Model ( i prefere Photon / Realistic Vision V5 )
The file i'm talking about is the one containing all these parameters .
( Alpha , fp16 .; prior_loss_weight = resolution = enable_bucket = min_bucket_reso = max_bucket_reso = .. )

is it free or is it only for patreon guys ??

FFurkan Gözükara SECourses can you test with

Elisoli•10/11/23, 9:35 AM

not good either

Elisoli•10/11/23, 9:39 AM

cfg 5 feels like better results but not so flexiable, might have over trained it from the start somehow?

Elisoli•10/11/23, 9:40 AM

also Adetailer gives corrupted faces

Sandstormleader•10/11/23, 10:13 AM

git config --global --add safe.directory I:/auto1111/stable-diffusion-webui
Creating venv in directory I:\auto1111\stable-diffusion-webui\venv using python "C:\Users\The_A\AppData\Local\Programs\Python\Python310\python.exe"
venv "I:\auto1111\stable-diffusion-webui\venv\Scripts\Python.exe"
fatal: detected dubious ownership in repository at 'I:/auto1111/stable-diffusion-webui'
'I:/auto1111/stable-diffusion-webui' is on a file system that does not record ownership
To add an exception for this directory, call:

git config --global --add safe.directory I:/auto1111/stable-diffusion-webui
fatal: detected dubious ownership in repository at 'I:/auto1111/stable-diffusion-webui'
'I:/auto1111/stable-diffusion-webui' is on a file system that does not record ownership
To add an exception for this directory, call:

Sandstormleader•10/11/23, 10:14 AM

this is what i get when i try to use the auto installer on enxternal hdd @Dr. Furkan Gözükara

Sandstormleader•10/11/23, 10:15 AM

File "I:\auto1111\stable-diffusion-webui\modules\launch_utils.py", line 192, in git_clone
run(f'"{git}" -C "{dir}" checkout {commithash}', None, "Couldn't checkout {name}'s hash: {commithash}")
File "I:\auto1111\stable-diffusion-webui\modules\launch_utils.py", line 115, in run
raise RuntimeError("\n".join(error_bits))
RuntimeError: Couldn't checkout {name}'s hash: {commithash}.
Command: "git" -C "I:\auto1111\stable-diffusion-webui\repositories\stable-diffusion-stability-ai" checkout cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf
Error code: 128
stderr: fatal: detected dubious ownership in repository at 'I:/auto1111/stable-diffusion-webui/repositories/stable-diffusion-stability-ai'
'I:/auto1111/stable-diffusion-webui/repositories/stable-diffusion-stability-ai' is on a file system that does not record ownership
To add an exception for this directory, call:

git config --global --add safe.directory I:/auto1111/stable-diffusion-webui/repositories/stable-diffusion-stability-ai

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