Common issues and their solutions. If these solutions don't work, please feel free to ask at the discord server or file an issue.
This can happen if your PC has less than 6GB of VRAM.
Try disabling the "Turbo mode" setting under "Advanced Settings", since that takes an additional 1 GB of VRAM (to increase the speed).
Additionally, a common reason for this error is that you're using an initial image larger than 768x768 pixels. Try using a smaller initial image.
Also try generating smaller sized images.
No ldm found, or antlr4 or any other missing module, or ClobberError: This transaction has incompatible packages due to a shared path
On Windows, please ensure that you had placed the stable-diffusion-ui folder after unzipping to the root of C: or D: (or any drive). For e.g. C:\stable-diffusion-ui. Note: This has to be done before you start the installation process. If you have already installed (and are facing this error), please delete the installed folder, and start fresh by unzipping and placing the folder at the top of your drive.
This error can also be caused if you already have conda/miniconda/anaconda installed, due to package conflicts. Please open your Anaconda Prompt, and run conda clean --all to clean up unused packages.
If nothing works, this could be due to a corrupted installation. Please try reinstalling this, by deleting the installed folder, and unzipping from the downloaded zip file.
This usually happens if you're running NVIDIA 1650 or 1660 Super. To solve this, please close and run the Stable Diffusion command on your computer. If you're using the older Docker-based solution (v1), please upgrade to v2: https://github.com/cmdr2/stable-diffusion-ui/tree/v2#installation
If you're still seeing this error, please try enabling "Full Precision" under "Advanced Settings" in the Stable Diffusion UI.
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. (Thanks HVRyan)
If you have an NVIDIA GPU and the latest NVIDIA driver, please ensure that you've installed nvidia-container-toolkit. (Thanks u/exintrovert420)
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).
Please ensure that you have an NVIDIA GPU and the latest NVIDIA driver, and that you've installed nvidia-container-toolkit.
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)