From b8d43013211d00c05f464414acbb8ba0d1930dda Mon Sep 17 00:00:00 2001 From: JeLuF Date: Wed, 19 Oct 2022 23:01:53 +0200 Subject: [PATCH] Remove outdated docker related sections --- Troubleshooting.md | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/Troubleshooting.md b/Troubleshooting.md index 7f92159..a2a945a 100644 --- a/Troubleshooting.md +++ b/Troubleshooting.md @@ -37,22 +37,9 @@ This usually happens if you're running NVIDIA 1650 or 1660 Super. To solve this, If you're still seeing this error, please try enabling "Full Precision" under "Advanced Settings" in the Stable Diffusion UI. -## './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).