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How to run disco diffusion V5 on windows 10 with WSL

Install Disco Diffusion v5 for Windows w/ subsystem for linux!

[NEW] no WSL needed Guide located here

NOTE: Pytorch3d no longer has to be compiled i have stripped out the function we use to make this a lot easier and also so we do not have to use WSL2 with linux and can now run directly on your windows system, i will leave this guide here for those that still want to explore working with linux wich i do still recommend.

Comments section is not checked often for issues please join the disco diffusion discord for assistance

You may now use the official disco diffusion notebook with this tutorial as it has been uodated to reflect the changes here for better cross platform support

1. Enable subsystem for linux on windows!

Make sure to run PowerShell as Administrator.


  • Option A (control panel)
    1. Open control panel and click "Programs" from here select "Turn windows feature on or off"
      • This should have opened a new window with a list of features, scroll all the way to the bottom
    2. Select "Windows Subsystem for Linux"
    3. Also select "Virtual Machine Platform"
    4. Restart your pc after installing
  • Option B (PowerShell)
    1. PowerShell: Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Windows-Subsystem-Linux
    2. PowerShell: Enable-WindowsOptionalFeature -Online -FeatureName VirtualMachinePlatform
    3. Restart your pc after installing

2. Upgrade WSL to version 2

Make sure to run PowerShell as Administrator.

  1. Update Windows 10 to version 21H2
    • This might be listed under the "view optional updates" text/link on the update page
    • check current version
      • PowerShell: winver
      • PowerShell: wsl -l -v
  2. If you do not have wsl version 2 from wsl command
    • Make sure you have "Receive updates for other Microsoft products when you update Windows" checked in Advanced options of the Updates sections
      • If unchecked rerun the windows update process again
    • PowerShell: wsl --update
  3. After updating WSL to version 2 we need to tell it to use version 2 on current distro and future ones
    • PowerShell: wsl --set-default-version 2

3. Download & Prepare linux Distro

  1. Open the microsoft store app and search "Linux", i went with Ubuntu 20.04
  2. Setup username and password for linux distribution
  3. Run the following command to update some things
    • Linux: sudo apt update && sudo apt upgrade -y

4/. Anaconda + Jupyter (included in anaconda)

  1. Download anaconda
    • Linux: wget
  2. Install the library
    • Linux: bash
  3. Refesh bash for anaconda install
    • Linux: source ~/.bashrc
  4. Start Conda & Install Dependencies
    • Linux: conda config --set channel_priority false
    • conda update --all --yes
    • conda create -n disco_v5 python=3.8.10 --yes
    • conda activate disco_v5
    • conda install -c conda-forge opencv --yes
    • conda install pytorch=1.10.0 torchvision torchaudio cudatoolkit=11.3 -c pytorch -c conda-forge --yes
  5. Install needed pip dependencies
    • Linux: pip install lpips datetime timm pandas matplotlib ftfy
    • Linux: pip install opencv-python ipywidgets omegaconf>=2.0.0
    • Linux: pip install pytorch-lightning>=1.0.8 torch-fidelity einops wandb
    • Linux: pip install --upgrade jupyter_http_over_ws>=0.0.7
  6. Enable the extension for jupyter
    • Linux: jupyter serverextension enable --py jupyter_http_over_ws
  7. Start the jupyter server
    • Linux: jupyter notebook --NotebookApp.allow_origin='' --port=8888 --NotebookApp.port_retries=0 --no-browser
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hyunj16 commented Mar 28, 2022

However, I got stuck on "1.5 Define necessary functions" ModuleNotFoundError: No module named 'pytorch3d' Lol. It's going to be awhile until we get through the whole code.

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OK! made progress, but now for some reason unknow got this error. I manage to install everything in the tutorial using the mamba on top of conda. but when i run the notebook locally i get this error. :(

RuntimeError Traceback (most recent call last)
Input In [5], in <cell line: 176>()
173 print('Using device:', DEVICE)
174 device = DEVICE # At least one of the modules expects this name..
--> 176 if torch.cuda.get_device_capability(DEVICE) == (8,0): ## A100 fix thanks to Emad
177 print('Disabling CUDNN for A100 gpu', file=sys.stderr)
178 torch.backends.cudnn.enabled = False

File ~/anaconda3/envs/disco_v5/lib/python3.8/site-packages/torch/cuda/, in get_device_capability(device)
329 def get_device_capability(device: Optional[_device_t] = None) -> Tuple[int, int]:
330 r"""Gets the cuda capability of a device.
332 Args:
340 tuple(int, int): the major and minor cuda capability of the device
341 """
--> 342 prop = get_device_properties(device)
343 return prop.major, prop.minor

File ~/anaconda3/envs/disco_v5/lib/python3.8/site-packages/torch/cuda/, in get_device_properties(device)
346 def get_device_properties(device: _device_t) -> _CudaDeviceProperties:
347 r"""Gets the properties of a device.
349 Args:
354 _CudaDeviceProperties: the properties of the device
355 """
--> 356 _lazy_init() # will define _get_device_properties
357 device = _get_device_index(device, optional=True)
358 if device < 0 or device >= device_count():

File ~/anaconda3/envs/disco_v5/lib/python3.8/site-packages/torch/cuda/, in _lazy_init()
210 raise AssertionError(
211 "libcudart functions unavailable. It looks like you have a broken build?")
212 # This function throws if there's a driver initialization error, no GPUs
213 # are found or any other error occurs
--> 214 torch._C._cuda_init()
215 # Some of the queued calls may reentrantly call _lazy_init();
216 # we need to just return without initializing in that case.
217 # However, we must not let any other threads in!
218 _tls.is_initializing = True

RuntimeError: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 2: out of memory

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I have removed pytorch3d from needing to be compiled, should be much easier to get going now

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Halfway down step 4, running: conda install pytorch=1.10.0 torchvision torchaudio cudatoolkit=11.3 -c pytorch -c conda-forge --yes gives me the following, and then it just hangs on the last line: Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve.

see if u can find any different line on my tutorial that may help you get through.

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For others stuck like me, I got past the

ModuleNotFoundError: No module named 'regex'

by adding
at line 473 in the file: Disco_Diffusion_v5_2_[w_VR_Mode].ipynb

This way, it installs the missing dependency directly in the running environment... Even though I was trying to add it to my local python environment, the virtual environment clearly does not see it...

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etherElric commented Jun 20, 2022

I fixed the models not downloading by using the path in the 5.4 version:
Changed line 96597 and 96598 of the file: Disco_Diffusion_v5_2_[w_VR_Mode].ipynb to
"model_512_link = ''\n",
"model_secondary_link = '\n",

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Halfway down step 4, running: conda install pytorch=1.10.0 torchvision torchaudio cudatoolkit=11.3 -c pytorch -c conda-forge --yes gives me the following, and then it just hangs on the last line

It doesn't hang, it just takes a really, really long time before it finishes solving.

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I tried the python 3.9 version solution and let the step 4 "error" just run until it fixed itself. It eventually resolved itself and I was able to complete the tutorial and the install. I opened up Chrome on my host machine and selected local runtime, using the URL, and it accepted it, but clicking on some of the parts of the disco diffusion codes where you have to do the settings and I got a lot of "errors" about variables not been set etc. I changed back to the Google-hosted runtime and the red errors disappeared when I clicked on them.

Would it be better to do all the settings except the one where you initialize the video card with the Google Colab runtime, and then before you run the Diffuse, change the video to my local GPU? (I have a GForce GTX 1060 6Gb RAM)

It probably wouldn't work, but I have to ask...

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Artixart commented Nov 1, 2022

getting an error, pls help :(
WslRegisterDistribution failed with error: 0x80370102

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