Hey Doc, I just saw the IDM VTON app. Have you compared IDM VTON with CAT VTON and/or Flux Redux?
Hey Doc, I just saw the IDM VTON app. Have you compared IDM VTON with CAT VTON and/or Flux Redux?
Fye people using replicate
Fi havent compared with cat vton yet
Fflux redux works different
NYou want to share?
I'll be sure to test it
And here's a question, has
https://huggingface.co/spaces/tencent/Hunyuan3D-2/tree/main
I'll be sure to test it
And here's a question, has
Hunyuan3D-2 been deployed yet? Who knows can advise solutions for 4090rtx? https://huggingface.co/spaces/tencent/Hunyuan3D-2/tree/main
�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
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...
Original implementation by @rockerBOO
Timestep validation implementation by @gesen2egee
Updated implementation for sd3/flux by @hinablue
I went through and tried to m...
Jtrying 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.
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.
Ttry looking at debug logs
Jah yea should've sent that. forgot to look and have closed down now
PHi 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.
P
P
Tlooks decent
TDoes 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
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
TAs for quality Kling AI 1.6 seems to be the best img2vid model publicly available as of now
TClosest competitors hailuoai and sora currently seriously behind
Ait's the best currently what do you mean they actually did remove ??
AI suppose their abusing monopoly until a competitor who comes beat them
GHi @Furkan Gözükara SECourses,
I've tried both
on 48 images with faces pre-captioned with joy captioning and replaced with
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
I've tried both
flux1-dev-fp8.safetensors and flux1-dev.safetensors based on 8GB_GPU_Quality_Tier_4_FP8_6850MB_13.2_Second_IT.json configon 48 images with faces pre-captioned with joy captioning and replaced with
ohwx 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
Ganother screenshot with more lines from training console
Fi will share hopefully after finalizing
VHi, 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
Fi dont plan to research this atm
Fclick load model
Fit will then use all 4
For generate like 16 
Fyour folder repeating is 40
Ftherefore you are doing 392k steps
Fmake folder name like 1_ohwx man
Fyour speed is good
F10 second / it
Ftotally normal
Fyou can increase block swap count
Fand compare speed
�Okay but can you tell me how I can run this in kohya? I am not able to understand.
Vokay. thanks. it trains like 6-7 hours
Vand works
Vwas just wondering
Fi dont know either didnt look at it 
Ftotally good
Funless you have rtx 5090 you have to use shared vram
�Please take a look whenever you get time.
Tdaily credits removed from all plans, only monthly remained, effective for new subs after 20 feb
Athis is bad wow
ABut as I said I think they abuse monopoly rn
TI don't think even current monetisation is profitable for them. video generation compute is crazy expensive
Ais it ? For 5seconds and from ab image frame?
Tyeah, 5 seconds at 30 fps is 150 frames each taking unknown number of steps for diffusion model
Twe are talking many minutes of a100 probably per generation
A3~