title: CUDA not available on RTX 3080, even though CUDA was used to build PyTorch
body: <p>In my conda enviroment created using <a href="https://github.com/CompVis/stable-diffusion/blob/main/environment.yaml" rel="nofollow noreferrer">this yaml</a>, I get &quot;<em>RuntimeError: No CUDA GPUs are available</em>&quot; when trying to run stable diffusion.</p>
  <p>I am running Windows 11 with an RTX 3080.</p>
  <p>I have wiped all my conda envs and recreated them again, but the problem persists.</p>
  <p>Here is the output of <em>collect_env</em>:</p>
  <pre><code>PyTorch version: 1.11.0
  Is debug build: False
  CUDA used to build PyTorch: 11.3
  ROCM used to build PyTorch: N/A
  
  OS: Microsoft Windows 11 Pro
  GCC version: Could not collect
  Clang version: Could not collect
  CMake version: version 3.22.5
  Libc version: N/A
  
  Python version: 3.8.5 (default, Sep  3 2020, 21:29:08) [MSC v.1916 64 bit (AMD64)] (64-bit runtime)
  Python platform: Windows-10-10.0.22000-SP0
  Is CUDA available: False
  CUDA runtime version: 11.2.152
  GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3080
  Nvidia driver version: 516.94
  cuDNN version: Could not collect
  HIP runtime version: N/A
  MIOpen runtime version: N/A
  Is XNNPACK available: True
  
  Versions of relevant libraries:
  [pip3] numpy==1.19.2
  [pip3] pytorch-lightning==1.4.2
  [pip3] torch==1.11.0
  [pip3] torch-fidelity==0.3.0
  [pip3] torchmetrics==0.6.0
  [pip3] torchvision==0.12.0
  [conda] blas                      1.0                         mkl
  [conda] cudatoolkit               11.3.1               h59b6b97_2
  [conda] mkl                       2021.4.0           haa95532_640
  [conda] mkl-service               2.4.0            py38h2bbff1b_0
  [conda] mkl_fft                   1.3.1            py38h277e83a_0
  [conda] mkl_random                1.2.2            py38hf11a4ad_0
  [conda] numpy                     1.19.2           py38ha4e8547_1
  [conda] numpy-base                1.19.2           py38h5bb6eb2_1
  [conda] pytorch                   1.11.0          py3.8_cuda11.3_cudnn8_0    pytorch
  [conda] pytorch-lightning         1.4.2                    pypi_0    pypi
  [conda] pytorch-mutex             1.0                        cuda    pytorch
  [conda] torch-fidelity            0.3.0                    pypi_0    pypi
  [conda] torchmetrics              0.6.0                    pypi_0    pypi
  [conda] torchvision               0.12.0               py38_cu113    pytorch
  </code></pre>
  <p>Thanks for any help :)</p>