Hello to everyone.
I would like to install Stable Diffusion on FreeBSD,using the Linux emulation layer. This is what I did to configure everything :
# pkg install linux-miniconda-installer linux-c7
# nvidia-smi
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 570.124.04 Driver Version: 570.124.04 CUDA Version: 12.8 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce GTX 1060 3GB Off | 00000000:01:00.0 On | N/A |
| 53% 33C P8 7W / 120W | 325MiB / 3072MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 1 NVIDIA GeForce RTX 2080 Ti Off | 00000000:02:00.0 Off | N/A |
| 31% 36C P8 20W / 250W | 2MiB / 11264MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 4117 G /usr/local/libexec/Xorg 174MiB |
| 0 N/A N/A 4156 G xfwm4 2MiB |
| 0 N/A N/A 4291 G firefox 144MiB |
+-----------------------------------------------------------------------------------------+
# conda-shell
# source conda.sh
# conda activate
(base) # conda create --name pytorch python=3.10
(base) # conda activate pytorch
# pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu128
(pytorch) # LD_PRELOAD="/compat/dummy-uvm.so" python3 -c 'import torch; print(torch.cuda.is_available())'
home/username/miniconda3/envs/pytorch/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.)
cpu = _conversion_method_template(device=torch.device("cpu"))
/home/username/miniconda3/envs/pytorch/lib/python3.10/site-packages/torch/cuda/__init__.py:181:
UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error?
Error 304: OS call failed or operation not supported on this OS (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:109.)
return torch._C._cuda_getDeviceCount() > 0
I suspect that this version of pytorch is wrong :
# pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu128
The tutorial that I’ve followed is this one :
as you can see he uses :
# pip install torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113
with the driver 525 and it worked good. But I’m using driver 570 now,so I think that I should use the appropriate version of pytorch and maybe even python ?
I mean even this could be wrong ?
(base) # conda create --name pytorch python=3.10
Please help me,thanks.