Closed dillfrescott closed 2 years ago
pip install -U discoart
use_secondary_model=False
use more memory than use_secondary_model=True
(that's why it is default)this is the result on default create()
on 0.10.4 , so less than 12GB
and this is when secondary model is off, <20GB
from discoart import create
create(use_secondary_model=False)
Vram is 16 GB. Maybe thats why. Thank you for the info!
RuntimeError Traceback (most recent call last) in ()
5 n_batches=1,
6 use_secondary_model=False,
----> 7 steps=250,
8 )
19 frames /usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py in _conv_forward(self, input, weight, bias) 452 _pair(0), self.dilation, self.groups) 453 return F.conv2d(input, weight, bias, self.stride, --> 454 self.padding, self.dilation, self.groups) 455 456 def forward(self, input: Tensor) -> Tensor:
RuntimeError: Unable to find a valid cuDNN algorithm to run convolution