Software Engineering Courses (SECourses)•11mo ago

Kohya implemented this - https://github.com/kohya-ss/sd-scripts/pull/1864 can you please tell me how

Kohya implemented this - https://github.com/kohya-ss/sd-scripts/pull/1864 can you please tell me how to start this in kohya. It will be a great factor to analyze how the lora or dreambooth is training.

GitHub

Validation loss by rockerBOO · Pull Request #1864 · kohya-ss/sd-sc...

Related #1856 #1858 #1165 #914
Original implementation by @rockerBOO
Timestep validation implementation by @gesen2egee
Updated implementation for sd3/flux by @hinablue
I went through and tried to m...

julius•2/21/25, 9:55 AM

trying to generate 4 images at the same time (using 4 L40) but it seems like it will only make 2 at a time?

If I leave OverQueue=1 (default) then 2 will generate exactly the same time, and then the next 2.

If I set OverQueue=0 then it still takes about 40 seconds before the fourth image starts to generate, so ends up taking just as much time. Like the first photo will be finished before the fourth one starts.

Shouldn't all 4 photos just start generating at the same time?

If I ask to generate 8 images at the same time, all 4 GPU's will run from the start like it should though...

On Massedcompute.

Jjulius trying to generate 4 images at the same time (using 4 L40) but it seems like it ...

Timson•2/21/25, 12:43 PM

try looking at debug logs

TTimson try looking at debug logs

julius•2/21/25, 1:52 PM

ah yea should've sent that. forgot to look and have closed down now

Pelolisu•2/21/25, 2:31 PM

Hi guys, I'm testing a new upscaler technique and I'd like your opinion on the result, what do you think? I'm going to send 2 images, one in 1024x768 and the other in 4096x3072 upscaler.

Pelolisu•2/21/25, 2:31 PM

Pelolisu•2/21/25, 2:32 PM

this 4k https://drive.google.com/file/d/1KdOPSf7uPagU9zTgrHSLWy8OKSorKeAV/view?usp=sharing

Google Docs

mx_upscaled_image.png

PPelolisu this 4k https://drive.google.com/file/d/1KdOPSf7uPagU9zTgrHSLWy8OKSorKeAV/view?u...

Timson•2/21/25, 3:01 PM

looks decent

Timson•2/21/25, 3:12 PM

Does anyone use KLING AI paid memberships?
I was looking to get yearly sub, but they change the deal dramatically just over the course of a day removing daily log in credits (which is basically x2 potential monthly generations)
The reviews on reddit also indicate that the support is non existent and many people face problems with one sided deal changing and zero communication with clients

Timson•2/21/25, 3:32 PM

As for quality Kling AI 1.6 seems to be the best img2vid model publicly available as of now

Timson•2/21/25, 3:34 PM

Closest competitors hailuoai and sora currently seriously behind

TTimson As for quality Kling AI 1.6 seems to be the best img2vid model publicly availabl...

AiInfluence•2/21/25, 4:30 PM

it's the best currently what do you mean they actually did remove ??

AiInfluence•2/21/25, 4:31 PM

I suppose their abusing monopoly until a competitor who comes beat them

FFurkan Gözükara SECourses 8GB_GPU_Quality_Tier_4_FP8_6850MB_13.2_Second_IT.json

Guy Bertental•2/21/25, 4:40 PM

Hi @Furkan Gözükara SECourses,
I've tried both flux1-dev-fp8.safetensorsflux1-dev-fp8.safetensors and flux1-dev.safetensorsflux1-dev.safetensors based on 8GB_GPU_Quality_Tier_4_FP8_6850MB_13.2_Second_IT.json8GB_GPU_Quality_Tier_4_FP8_6850MB_13.2_Second_IT.json config
on 48 images with faces pre-captioned with joy captioning and replaced with ohwxohwx token,
it takes too much time - estimated 45 days! is that make sense??
Shared GPU raised to 14.2 and GPU RAM is on 7.5 GB.
I've attached all screenshots

GGuy Bertental Hi @Furkan Gözükara SECourses, I've tried both `flux1-dev-fp8.safetensors` and `...

Guy Bertental•2/21/25, 4:42 PM

another screenshot with more lines from training console

NNeuromasters You want to share? I'll be sure to test it And here's a question, has `Hunyuan3D...

Furkan Gözükara SECourses•2/21/25, 5:48 PM

i will share hopefully after finalizing

V3ldrin•2/21/25, 5:49 PM

Hi, I also have a problem when training with kohya: I have a geforce rtx 3900 with 24 vram, I use the models from your youtube tutorial video (flux dev, fp16, etc.etc). Before training, I clear vram (restart, autostart apps off, etc). When I check, I have enough vram under 500 mb. When I start training, it goes up to 23 GB and ALSO the shared Vram goes up. Why? Is that normal? using the 24GB_GPU_Quality_Tier_3_23150MB_5.9_Second_IT