Software Engineering Courses (SECourses)•17mo ago

@Dr. Furkan Gözükara Can you please tell me if this is considered a good learning curve for my 3090?

DDragoy @Dr. Furkan Gözükara Can you please tell me if this is considered a good learnin...

Furkan Gözükara SECourses•8/31/24, 12:19 PM

loss rate is meaningless

Furkan Gözükara SECourses•8/31/24, 12:19 PM

speed is looking ok not very bad

Furkan Gözükara SECourses•8/31/24, 12:19 PM

i think your model will be really good

Furkan Gözükara SECourses•8/31/24, 12:20 PM

trained a lora for a client i think it turned out to be perfect

Furkan Gözükara SECourses•8/31/24, 12:20 PM

can do smiling very well since we included that :d

mikemenders•8/31/24, 12:36 PM

While you guys are training Flux, I'm experiencing the interesting features of PonyRealism 2.1 under Prodigy. (I see that the Flux training is still being tweaked at Kohya, so I'll wait.) It turns out that the SDXL rule of only training Unet doesn't apply here, because then the finished Lora will only look a little like the person. However, if I train normally (i.e. without the --network_train_unet_only switch), I'm already on target. By using the 'fp8 base training' switch I can weaken the strength of the model a bit, i.e. sometimes it can come in handy in achieving a more accurate Lora. Without fp8, the Lora is stronger, so the d_coef switch needs to be reduced.

Mmikemenders While you guys are training Flux, I'm experiencing the interesting features of P...

Furkan Gözükara SECourses•8/31/24, 12:39 PM

for sdxl i suggest unet + text encoder 1

Furkan Gözükara SECourses•8/31/24, 12:39 PM

also for flux i am testing training clip large text encoder atm

dxqb•8/31/24, 12:48 PM

RealVisXL5 was released

Ddxqb RealVisXL5 was released

Furkan Gözükara SECourses•8/31/24, 12:49 PM

wow i should test

Furkan Gözükara SECourses•8/31/24, 12:50 PM

testing flux clip large trainings

FFurkan Gözükara SECourses wow i should test

dxqb•8/31/24, 12:59 PM

seems to be a big training effort, not just remerge: "Hello everyone! An early version of RealVisXL V5.0 (560k steps) is now available on Hugging Face. The model is still in training, and the final version will be released on Hugging Face and CivitAI at the end of August. You can leave your feedback on this version in the comments below."

GomezBro•8/31/24, 12:59 PM

@Dr. Furkan Gözükara Bro, I am going to sleep now its 6am haha, training loras all night, I fixed all my machines now. Anyway, I want to Train 1000 images (a style of art) I want to train that but doing it on 1 A6000 it would take like a week right? What system you recommend and how much would it cost me on Mass compute? 4-8 GPU A6000? If its $3-5 an HR I am down to pay it. Please do recommend the correct VM to use on there and do you have a video setting one up as I only use local, never rented hardware before. Let me know thanks and gn brother! Totally worth the Patreon fee!

Ddxqb seems to be a big training effort, not just remerge: "Hello everyone! An early v...

Furkan Gözükara SECourses•8/31/24, 1:27 PM

nice

GGomezBro @Dr. Furkan Gözükara Bro, I am going to sleep now its 6am haha, training loras a...

Furkan Gözükara SECourses•8/31/24, 1:28 PM

get 4x A6000 on massed compute

Furkan Gözükara SECourses•8/31/24, 1:28 PM

it is 1.25$ per hour with our coupon

Furkan Gözükara SECourses•8/31/24, 1:28 PM

i made the multi gpu training tutorial so it will be published today or tomorrow hopefully

virginia•8/31/24, 1:32 PM

@Dr. Furkan Gözükara two models have been changed by the author, %cd /kaggle/temp/VAE
!wget "https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/ae.safetensors" -O "ae.safetensors" !wget "https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/flux1-schnell.safetensors" -O "flux1-schnell.safetensors" am I right? another question it seems to take a few mins to get 1 image from flux model on kaggle, right?

virginia•8/31/24, 1:35 PM

@Dr. Furkan Gözükara another question, if I want to use custom nodes in swarm UI, I did not see the folder, do I have to create one? Autocompletions Users-log.ldb clip_vision tensorrt
Embeddings Users.ldb comfy-auto-model.yaml unet
Lora VAE controlnet upscale_models
Stable-Diffusion clip diffusion_models, or where are the custom node folder?

m3m3x•8/31/24, 1:38 PM

@Dr. Furkan Gözükara I've test on windows on my PC with A4000 (8go) and it worked, however as I suspected it use shared memory during the step "move text encoder to gpu" as there is not enough memory on the GPU, that's why it OOM on linux, because it can't use shared memory, then it's passed back to the cpu freeing memory and the rest is loaded that require less than 8go so during training it's stay under 8go. Is there a way to not move the text encoder to gpu, like having it calculated on cpu directly, having it use shared memory or making it use less VRAM, so it will work also on linux ?

Vvirginia @Dr. Furkan Gözükara two models have been changed by the author, %cd /kaggle/tem...

Furkan Gözükara SECourses•8/31/24, 1:38 PM

yes links changed

Mm3m3x @Dr. Furkan Gözükara I've test on windows on my PC with A4000 (8go) and it worke...

Furkan Gözükara SECourses•8/31/24, 1:38 PM

i see what you mean now

Furkan Gözükara SECourses•8/31/24, 1:38 PM

so you get error during cache

Furkan Gözükara SECourses•8/31/24, 1:38 PM

you need to ask this to kohya

Furkan Gözükara SECourses•8/31/24, 1:38 PM

cant linux has shared vram?

m3m3x•8/31/24, 1:39 PM

Ok I could maybe create a ticket on it's git

FFurkan Gözükara SECourses cant linux has shared vram?

m3m3x•8/31/24, 1:39 PM

I search but didn't find a way to do that it seem not implemented in linux nvidia driver

Mm3m3x Ok I could maybe create a ticket on it's git

Furkan Gözükara SECourses•8/31/24, 1:39 PM

please make a detailed reply here and tag @kohya-ss : https://github.com/kohya-ss/sd-scripts/pull/1374

GitHub

support SD3 by kohya-ss · Pull Request #1374 · kohya-ss/sd-scripts

Replace SD3Tokenizer with the original CLIP-L/G/T5 tokenizers.
Extend the max token length to 256 for T5XXL.
Refactor caching for latents.
Refactor caching for Text Encoder outputs
Extract arch...

Furkan Gözükara SECourses•8/31/24, 1:39 PM

there are also other expers some of the may chime in

FFurkan Gözükara SECourses there are also other expers some of the may chime in

m3m3x•8/31/24, 1:40 PM

ok thank you I will do that

virginia•8/31/24, 1:43 PM

does it take a few mins in smarmui on kaggle for flux model?

virginia•8/31/24, 1:43 PM

to create 1 image, I mean? seeming very slow

Vvirginia to create 1 image, I mean? seeming very slow

Furkan Gözükara SECourses•8/31/24, 1:44 PM

ye it is slow. kaggle doesnt give good gpus :/

Furkan Gözükara SECourses•8/31/24, 1:44 PM

i wish they started giving bf16

Furkan Gözükara SECourses•8/31/24, 1:44 PM

we could trian flux there

Furkan Gözükara SECourses•8/31/24, 1:44 PM

i trained 24 images on 4x gpu and even 240 epoch is not overtrained. this is impact of effective batch size increase

FFurkan Gözükara SECourses i wish they started giving bf16

Jehex•8/31/24, 1:47 PM

Hi there, may I ask you something, for kohya_ss, for generate the meta_lat.json for the full finetuning of flux, do you know which path of the model should I set as argument, the path to flux1-dev.safetensors seems to not working

JJehex Hi there, may I ask you something, for kohya_ss, for generate the meta_lat.json ...

Furkan Gözükara SECourses•8/31/24, 1:49 PM

i didnt research it yet. hopefully next week

virginia•8/31/24, 1:49 PM

yes I am able to do use swarmUI now, thanks a lot

jhb•8/31/24, 2:03 PM

Whats the best tutorial for Flux image to image generation for product images.?

Jjhb Whats the best tutorial for Flux image to image generation for product images.?

Furkan Gözükara SECourses•8/31/24, 2:04 PM

i never done that but i have shown image to image

Furkan Gözükara SECourses•8/31/24, 2:04 PM

but not for flux

dsienra•8/31/24, 2:10 PM

@Dr. Furkan Gözükara new test with high TE learning rate, now with unique tokens no class and person class regularization, I see that using person class avoid class mixing

dsienra•8/31/24, 2:10 PM

these are my regularizations