Updated FAQ (markdown)

FAQ.md

@@ -2,50 +2,17 @@
 # Textual Inversion
 To enable [Textual Inversion](https://github.com/hlky/sd-enable-textual-inversion) remove `--optimize` and `--optimize-turbo` flags and add `--no-half`, [more info here](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/6).
 -->
+# General
 
-### Error response from daemon: could not select device driver "nvidia" with capabilities: `[[gpu]]`
+## Dockerfile parse error
-
-Install NVIDIA Container Toolkit [#81](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/81)
-
-https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#setting-up-nvidia-container-toolkit
-
-
-### Dockerfile parse error
 ```
 Error response from daemon: dockerfile parse error line 33: unknown instruction: GIT
 ERROR: Service 'model' failed to build : Build failed
 ```
 Update docker to the latest version, and make sure you are using `docker compose` instead of `docker-compose`. [#16](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/16)
 
----
 
-### Build fails at [The Shell command](https://github.com/AbdBarho/stable-diffusion-webui-docker/blob/5af482ed8c975df6aa0210225ad68b218d4f61da/build/Dockerfile#L11), `/bin/bash` not found in WSL.
+## lstein: OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'
-
-Edit the corresponding docker file, and change the SHELL from `/bin/bash` to `//bin/bash` [#21](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/21), note: this is a hack and something in your wsl is messed up.
-
----
-
-### Build fails with credentials errors when logged in via SSH on WSL2/Windows
-You can try forcing plain text auth creds storage by removing line with "credStore" from ~/.docker/config.json (in WSL). [#56](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/56)
-
----
-
-### Other build errors on windows
-* Make sure:
-   * Windows 10 release >= 2021H2 (required for WSL to see the GPU)
-   * WSL2 (check with `wsl -l -v`)
-   * Latest Docker Desktop
-* You might need to create a [`.wslconfig`](https://docs.microsoft.com/en-us/windows/wsl/wsl-config#example-wslconfig-file) and increase memory, if you have 16GB RAM, set the limit to something around 12GB, [#34](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/34) [#64](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/64)
-* You might also need to [force wsl to allow file permissions](https://superuser.com/a/1646556)
-
----
-
-### Running in AWS
-
-You have to use one of AWS's GPU-enabled VMs and their Deep Learning OS images. These have the right divers, the toolkit and all the rest already installed and optimized. [#70](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/70)
-
----
-### lstein: OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'
 
 Just update `docker-compose.yaml` to [refresh the models](https://github.com/lstein/stable-diffusion/issues/34) (i.e. `PRELOAD=true`). [#72](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/72#issuecomment-1250382056)
 
@@ -59,14 +26,48 @@ Just update `docker-compose.yaml` to [refresh the models](https://github.com/lst
       - CLI_ARGS=
 ```
 
----
 
-### Output is a always green image
+## Output is a always green image
-If [output is a always green image](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/9), use `--precision full --no-half`.
+use `--precision full --no-half`. [#9](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/9)
 
----
+## CondaError or CondaEnvException
-### CondaError or CondaEnvException
 
 `CondaError: Downloaded bytes did not match Content-Length` or `CondaEnvException: Pip failed, ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE`
 
-This means your internet connection is unstable so the download failed, just try again.
+This means your internet connection is unstable so the download failed, just try again.
+
+---
+
+# Linux
+
+### Error response from daemon: could not select device driver "nvidia" with capabilities: `[[gpu]]`
+
+Install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#setting-up-nvidia-container-toolkit) [#81](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/81) and restart the docker service
+
+---
+
+# Windows / WSL
+
+
+## Build fails at [The Shell command](https://github.com/AbdBarho/stable-diffusion-webui-docker/blob/5af482ed8c975df6aa0210225ad68b218d4f61da/build/Dockerfile#L11), `/bin/bash` not found in WSL.
+
+Edit the corresponding docker file, and change the SHELL from `/bin/bash` to `//bin/bash` [#21](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/21), note: this is a hack and something in your wsl is messed up.
+
+
+## Build fails with credentials errors when logged in via SSH on WSL2/Windows
+You can try forcing plain text auth creds storage by removing line with "credStore" from ~/.docker/config.json (in WSL). [#56](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/56)
+
+
+## Other build errors on windows
+* Make sure:
+   * Windows 10 release >= 2021H2 (required for WSL to see the GPU)
+   * WSL2 (check with `wsl -l -v`)
+   * Latest Docker Desktop
+* You might need to create a [`.wslconfig`](https://docs.microsoft.com/en-us/windows/wsl/wsl-config#example-wslconfig-file) and increase memory, if you have 16GB RAM, set the limit to something around 12GB, [#34](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/34) [#64](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/64)
+* You might also need to [force wsl to allow file permissions](https://superuser.com/a/1646556)
+
+---
+
+# AWS
+
+You have to use one of AWS's GPU-enabled VMs and their Deep Learning OS images. These have the right divers, the toolkit and all the rest already installed and optimized. [#70](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/70)