extern/easydiffusion
1
0
Fork 1
mirror of https://github.com/easydiffusion/easydiffusion.git synced 2024-11-22 00:03:20 +01:00
Code Issues Packages Projects Releases Wiki Activity

Initial Troubleshooting page

cmdr2 2022-08-26 22:49:22 +05:30
commit c858cc0d68
1 changed files with 22 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

22
Troubleshooting.md Normal file

@ -0,0 +1,22 @@
Common issues and their solutions. If these solutions don't work, please feel free to [file an issue](https://github.com/cmdr2/stable-diffusion-ui/issues).
## './docker-compose.yml' is invalid:
> ERROR: The Compose file './docker-compose.yml' is invalid because:
> services.stability-ai.deploy.resources.reservations value Additional properties are not allowed ('devices' was unexpected)
Please ensure you have `docker-compose` version 1.29 or higher. Check `docker-compose --version`, and if required [update it to 1.29](https://docs.docker.com/compose/install/). (Thanks [HVRyan](https://github.com/HVRyan))
## RuntimeError: Found no NVIDIA driver on your system:
If you have an NVIDIA GPU and the latest [NVIDIA driver](http://www.nvidia.com/Download/index.aspx), please ensure that you've installed [nvidia-container-toolkit](https://stackoverflow.com/a/58432877). (Thanks [u/exintrovert420](https://www.reddit.com/user/exintrovert420/))
## Some other process is already running at port 9000 / port 9000 could not be bound
You can override the port used. Please change `docker-compose.yml` inside the project directory, and update the line `9000:9000` to `1337:9000` (where 1337 is whichever port number you want).
After doing this, please restart your server, by running `./server restart`.
After this, you can access the server at `http://localhost:1337` (where 1337 is the new port you specified earlier).
## RuntimeError: CUDA error: unknown error
Please ensure that you have an NVIDIA GPU and the latest [NVIDIA driver](http://www.nvidia.com/Download/index.aspx), and that you've installed [nvidia-container-toolkit](https://stackoverflow.com/a/58432877).
Also, if you are using WSL (Windows), please ensure you have the latest WSL kernel by running `wsl --shutdown` and then `wsl --update`. (Thanks [AndrWeisR](https://github.com/AndrWeisR))