discoart - ERROR - no valid convolution algorithms available in CuDNN about discoart

[hanxiao]

this error means OOM, not a bug of DiscoArt. The error msg may be misleading but it is also how pytorch throws 🤷 so upstream problem on fixing this misleading info.

since you dont tell me your VRAM, i can only guess it is very small

so try:

• smaller canvas, [512,512]
• fewer cuts
• fewer CLIP models
• use_secondary_model=True

[MaxOrtGit]

my VRAM is only 6GB
But I figured it out, decreasing cutn_batches to 1 got it to work, I will update with other settings that might help other people.

[MaxOrtGit]

well it works for a bit but after a certain amount of steps (ranging from 30-300 it will stop saying it couldn't find path (name.svg) and it was canceled even if I never touched the keyboard.

[hanxiao]

couldn't find path (name.svg)

version too old, plz update

but after a certain amount of steps (ranging from 30-300

because your cuts increases on later steps, check your cut schedules

[MaxOrtGit]

I am on 0.7.14 and still having the issue.
It says
Your n_backup=1 so supposedly 1 images will be generated, but only 0 images were fully completed. This may be due to the following reasons: (don't apply). To avoid this, you can set n_batches to a smaller number in create(), say create(n_batches=1)
I assume I am just running out of VRAM. If so what clip_model(s) so you recommend me using for the best tradeoff of quality to performance?
Also how to I check/change my cut schedules.

[MaxOrtGit]

Also if I try to reuse it as initial state it fails on the first one and says the same thing