Streamline Docker Quickstart Experience (#1261)

* Cleaned up Docker documentation and process

* Added back `build` section to Dockerfile so we don't have to
  manually build it separately, simplifying the quick-start process
* Added a healthcheck to make it easier to see when the container
  was done initializing. Currently a little ugly since it has to
  check both URLs for liveness
* Removed CONDA_FORCE_UPDATE from env file since we don't user conda
  anymore

Note - `build_docker.sh` is seemingly obsolete but I left it for now
with a comment in case it's ingrained in somebody else's workflow.

* Minor readme fixes

.env_docker.example

@@ -1,7 +1,3 @@
-# Force miniconda to attempt to update on every container restart
-# instead only when changes are detected
-CONDA_FORCE_UPDATE=false
-
 # Validate the model files on every container restart
 # (useful to set to false after you're sure the model files are already in place)
 VALIDATE_MODELS=true

README_Docker.md

@@ -29,48 +29,43 @@ Other Notes:
 
 ## First-Time Startup Instructions
 
-### Clone Repository and Build the Container Image
-* Clone this repository to your host machine:  `git clone https://github.com/sd-webui/stable-diffusion-webui.git`
-* Change directories to your copy of the repository and run the Docker Image build script:
-    * `cd https://github.com/sd-webui/stable-diffusion-webui.git`
-    * `./build_docker.sh`
-* The build process will take several minutes to complete
-* After the image build has completed, you will have a docker image for running the Stable Diffusion WebUI named `stable-diffusion-webui:dev`
-* **The `stable-diffusion-webui:dev` Docker image will contain all software dependencies required to run Stable Diffusion and the Stable Diffusion WebUI; model files (i.e. weights/checkpoints) are stored separate from the Docker image. (Note: with this implementation, the Stable Diffusion WebUI code is also stored separate from the Docker image)**
-
+### Clone Repository
+* Clone this repository to your host machine:
+    * `git clone https://github.com/sd-webui/stable-diffusion-webui.git`
 * If you plan to use Docker Compose to run the image in a container (most users), create an `.env_docker` file using the example file:
     * `cp .env_docker.example .env_docker`
     * Edit `.env_docker` using the text editor of your choice.
-    * Options available in `.env_docker` allow you to control automatic model file checking/download during startup, and to select the Stable Diffusion WebUI implementation to run (Gradio vs Streamlit). **You must set the `VALIDATE_MODELS` option to `true` during the first run to download necessary model weights/checkpoints.** You may the set `VALIDATE_MODELS` option to `false` on future runs to speed up startup time.
+    * Ensure `VALIDATE_MODELS` is set to `true`
+> Options available in `.env_docker` allow you to control automatic model file checking/download during startup, and to select the Stable Diffusion WebUI implementation to run (Gradio vs Streamlit). You may the set `VALIDATE_MODELS` option to `false` after the initial run (once models are downloaded) to speed up startup time.
 
 
 ### Create a Container Instance Using Docker Compose
-During the first run of the image, several files will be downloaded automatically including model weights/checkpoints. After downloading, these files will be cached locally to speed up future runs.
-
 The default `docker-compose.yml` file  will create a Docker container instance named `sd-webui`
 
 * Create an instance of the Stable Diffusion WebUI image as a Docker container:
     * `docker compose up`
+* During the first run, the container image will be build containing all of the dependencies necessary to run Stable Diffusion. This build process will take several minutes to complete
+    * After the image build has completed, you will have a docker image for running the Stable Diffusion WebUI tagged `stable-diffusion-webui:dev`
 
 (Optional) Daemon mode:
-* Note you can start the container in "daemon" mode by applying the `-d` option:  `docker compose up -d`
+* You can start the container in "daemon" mode by applying the `-d` option:  `docker compose up -d`. This will run the server in the background so you can close your console window without losing your work.
 * When running in daemon mode, you can view logging output from your container by running `docker logs sd-webui`
 
-(Note: Depending on your version of Docker/Docker Compose installed, the command may be `docker-compose` (older versions) or `docker compose` (newer versions))
-
-The container may take several minutes to start up if model weights/checkpoints need to be downloaded.
+> Note: Depending on your version of Docker/Docker Compose installed, the command may be `docker-compose` (older versions) or `docker compose` (newer versions)
 
 
 ### Accessing your Stable Diffusion WebUI Instance
-Depending on the WebUI implementation you have selected, you can access the WebUI at the following URLs:
+The container may take several minutes to start up if model weights/checkpoints need to be downloaded. You can view progress via `docker compose ps` to see the current status or by checking the logs using `docker compose logs`.
+
+Depending on the WebUI implementation you selected in `.env_docker`, you can access the WebUI at the following URLs:
 
 * Gradio:  http://localhost:7860
 * Streamlit:  http://localhost:8501
 
 You can expose and access your WebUI to/from remote hosts by the machine's IP address:
 (note: This generally does not apply to Windows/WSL2 users due to WSL's implementation)
-* Gradio:  http://<host-ip-address>:7860
-* Streamlit:  http://<host-ip-address>:8501
+* Gradio:  http://\<host-ip-address\>:7860
+* Streamlit:  http://\<host-ip-address\>:8501
 
 
 ### Where is ___ stored?
@@ -101,8 +96,9 @@ You will need to re-download all associated model files/weights used by Stable D
 
 
 ## Misc Related How-to
-* You can obtain shell access to a running Stable Diffusion WebUI container started with Docker Compose with the following command:
+* You can obtain shell access to a running Stable Diffusion WebUI container started with Docker Compose with either of the following commands:
     * `docker exec -it st-webui /bin/bash`
+    * `docker compose exec stable-diffusion bash`
 * To start a container using the Stable Diffusion WebUI Docker image without Docker Compose, you can do so with the following command:
     * `docker run --rm -it --entrypoint /bin/bash stable-diffusion-webui:dev`
 * To start a container, with mapped ports, GPU resource access, and a local directory bound as a container volume, you can do so with the following command:

build_docker.sh

@@ -1,2 +1,3 @@
 #!/bin/sh
+# Functionally equivalent to docker compose build
 docker build . -t stable-diffusion-webui:dev

docker-compose.yml

@@ -4,9 +4,10 @@ services:
   stable-diffusion:
     container_name: sd-webui
     image:  stable-diffusion-webui:dev
-
+    build:
+      context: .
+      dockerfile: Dockerfile
     env_file: .env_docker
-
     volumes:
       - .:/sd
       - ./outputs:/sd/outputs
@@ -15,6 +16,11 @@ services:
     ports:
       - '7860:7860'
       - '8501:8501'
+    healthcheck:
+      test: curl --fail http://localhost:8501 --head || curl --fail http://localhost:7860 --head || echo 1
+      interval: 30s
+      timeout: 1s
+      retries: 10
     deploy:
       resources:
         reservations: