Open dazpants1 opened 2 weeks ago
Hi, @dazpants1, I'm sorry, the current code only supports Nvidia CUDA. We don't know how to adapt it for AMD.
Hi @staoxiao ,
No problem i thought it might be something like that. My own fault for changing from Nvidia after all these years just before i discovered the wonferful world of AI goodies. lol. Thank you for confirming. Have a lovely day.
Thanks
Darren
Is there a workaround for this? like using only the cpu??
I have an AMD CPU and Nvida GPU... it is saying I don't have a GPU intalled is this the same reason at OP?
@Hokman, you can check whether the cuda is installed correctly bytorch.cuda.is_available()
.
Here is an example to install cuda:
# Create a python 3.10.13 conda env (you could also use virtualenv)
conda create -n omnigen python=3.10.13
conda activate omnigen
# Install pytorch with your CUDA version, e.g.
pip install torch==2.3.1+cu118 torchvision --extra-index-url https://download.pytorch.org/whl/cu118
git clone https://github.com/VectorSpaceLab/OmniGen.git
cd OmniGen
pip install -e .
Hi,
I'm a noob to all this and i keep getting the below error.
RuntimeError: OffloadedCache can only be used with a GPU.
I am using an AMD CPU and an AMD GPU. Does this only work with Nvidia or do i need to do something else?
Any guidance would really be appreciated.
Thanks
Darren