you can also show debug logs
you can also show debug logs
TI would definitely give it a go again and see if this will solve the issue.
Thanks again for ur prompt reply @Dr. Furkan Gözükara
Thanks again for ur prompt reply @Dr. Furkan Gözükara
Fi am adding custom resolutions to wan 2.1 app right now
F
Fnew intrerface
F
F
Fwow tiled made huge impact on speed
Aany new video examples ?
Ddamn a 4090 and 64GB Ram is not enough for local Wan 14B
Cneed 5090 even for the higher quantized or fp8 versions. need rtx 8090 for the full versions of the 14B Model lol
Tyou may try to boot your machine in headless Linux OS to squeze it
Twindows gui take some ram and vram
Dthe 2nd most powerful consumer gpu in existence and its not enough. existence is pain
Tthis model were never ment for consumer grade GPU
Fi generated on 96 gb 3090 ti
Ftakes very long
Ftherre is fp8 option can you test it?
Fon my pc it fails since i have dual gpu
DI see two quants on HF, which one you mean?
Fno i mean this
Dah
Fabout to update for v3
Fdownload v3 zip file please
Fand
Fuse Windows_Install.bat
FFdelete wan v2 folder
F
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Ftorch vision arrived amazing
Fnow all i have to do is compile flash attention
JHi guys Im new here so please let me know if this question doesn't go here. But Im trying to train lora's using fluxgym I have a couple of questions / issues -
- My training datatset is of kids (age 5-13) with max 15-20 photos. But even with an A100 40GB it takes around 2hrs to train. Any fix for that? I love how fal.ai does the fast training Im okay with even an hour but 2-3 gets tiresome
- I tried with increasing batch size for perfomance but seems like they kinda ruin the quality. Any advice to how to maintain quality with perfomance? captions yay or nay? size 1024 or 512?
1does that mean you can stretch the 5090's legs soon. I haven't been able to test the app yet with work getting in the way.
Fit is quality vs time
Fi am trying to compile flash attention noıw
1ohh wow, things are starting to move along nicely
Fyep
F
Fflash attention compile lets see i hope works
CFP8 will be extra slow on any gpu before the nvidia Lovelace generation
like A6000, 3090, A100 dont have the chips needed to perform well with FP8
L40, 4090, h100 would be good cards for FP8
just incase anyone cares
like A6000, 3090, A100 dont have the chips needed to perform well with FP8
L40, 4090, h100 would be good cards for FP8
just incase anyone cares
JAny idea how fal does it? the speed is amazing & quality is almost perfect too. Are they finetuning layers or just good GPUs
Fnice info thanks
Fyes i know i made a research for a client
Fhigher batch size bigger GPU multiple GPU
Flower steps higher LR
F
Tincrease learning rate until you are no longer satisfied with quality
Tlowering resolution is also an option
Talso decreasing dataset diversity will speed up likeness gain at the cost of generalization
Z14b i2v on default settings with 24gb Vram preset is almost 1hr30 to generate the video, oooof