fix nubered list and codeblocks in INSTALL_WINDOWS

docs/installation/INSTALL_WINDOWS.md

@@ -39,7 +39,7 @@ in the wiki
 
 4. Run the command:
 
-    ```bash
+    ```batch
     git clone https://github.com/invoke-ai/InvokeAI.git
     ```
 
@@ -48,16 +48,20 @@ in the wiki
 
 5. Enter the newly-created InvokeAI folder. From this step forward make sure that you are working in the InvokeAI directory!
 
-```
+    ```batch
     cd InvokeAI
     ```
 
 6. Run the following two commands:
 
+    ```batch title="step 6a"
+    conda env create
     ```
-conda env create       (step 6a)
+
-conda activate invokeai     (step 6b)
+    ```batch title="step 6b"
+    conda activate invokeai
     ```
+
     This will install all python requirements and activate the "invokeai" environment
     which sets PATH and other environment variables properly.
 
@@ -67,7 +71,7 @@ conda activate invokeai     (step 6b)
 
 7. Run the command:
 
-    ```bash
+    ```batch
     python scripts\preload_models.py
     ```
 
@@ -79,17 +83,17 @@ conda activate invokeai     (step 6b)
 
 8. Now you need to install the weights for the big stable diffusion model.
 
-- For running with the released weights, you will first need to set up an acount with Hugging Face (https://huggingface.co).
+      1. For running with the released weights, you will first need to set up an acount with Hugging Face (https://huggingface.co).
-- Use your credentials to log in, and then point your browser at https://huggingface.co/CompVis/stable-diffusion-v-1-4-original.
+      2. Use your credentials to log in, and then point your browser at https://huggingface.co/CompVis/stable-diffusion-v-1-4-original.
-- You may be asked to sign a license agreement at this point.
+      3. You may be asked to sign a license agreement at this point.
-- Click on "Files and versions" near the top of the page, and then click on the file named `sd-v1-4.ckpt`. You'll be taken to a page that
+      4. Click on "Files and versions" near the top of the page, and then click on the file named `sd-v1-4.ckpt`. You'll be taken to a page that
         prompts you to click the "download" link. Now save the file somewhere safe on your local machine.
-- The weight file is >4 GB in size, so
+      5. The weight file is >4 GB in size, so
         downloading may take a while.
 
     Now run the following commands from **within the InvokeAI directory** to copy the weights file to the right place:
 
-```
+    ```batch
     mkdir -p models\ldm\stable-diffusion-v1
     copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt
     ```
@@ -99,25 +103,24 @@ you may instead create a shortcut to it from within `models\ldm\stable-diffusion
 
 9. Start generating images!
 
-    ```bash
+    ```batch title="for the pre-release weights"
-    # for the pre-release weights
     python scripts\invoke.py -l
+    ```
 
-    # for the post-release weights
+    ```batch title="for the post-release weights"
     python scripts\invoke.py
     ```
 
 10. Subsequently, to relaunch the script, first activate the Anaconda command window (step 3),enter the InvokeAI directory (step 5, `cd \path\to\InvokeAI`), run `conda activate invokeai` (step 6b), and then launch the invoke script (step 9).
 
-    **Note:** Tildebyte has written an alternative
+!!! tip "Tildebyte has written an alternative"
+
     ["Easy peasy Windows install"](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
     which uses the Windows Powershell and pew. If you are having trouble with
     Anaconda on Windows, give this a try (or try it first!)
 
 ---
 
-This distribution is changing rapidly. If you used the `git clone` method (step 5) to download the InvokeAI directory, then to update to the latest and greatest version, launch the Anaconda window, enter `InvokeAI`, and type:
-
 This distribution is changing rapidly. If you used the `git clone` method
 (step 5) to download the stable-diffusion directory, then to update to the
 latest and greatest version, launch the Anaconda window, enter