rename environment.yaml to take advantage of Anaconda default behavior #827

-Rename environment files to use default .yml extension
-Change to InvokeAI git repo and folder names

Author: @Christopher-Hayes

docs/installation/INSTALL_WINDOWS.md

@@ -46,23 +46,26 @@ in the wiki
     This will create stable-diffusion folder where you will follow the rest of
     the steps.
 
-5. Enter the newly-created stable-diffusion folder. From this step forward make
-   sure that you are working in the stable-diffusion directory!
+5. Enter the newly-created InvokeAI folder. From this step forward make sure that you are working in the InvokeAI directory!
 
     ```batch
-    cd stable-diffusion
+    cd InvokeAI
     ```
 
 6. Run the following two commands:
 
     ```batch
-    conda env create -f environment.yaml
-    conda activate ldm
+    conda env create       (step 6a)
+    conda activate ldm     (step 6b)
     ```
 
     This will install all python requirements and activate the "ldm" environment
     which sets PATH and other environment variables properly.
 
+    Note that the long form of the first command is `conda env create -f environment.yml`. If the
+    environment file isn't specified, conda will default to `environment.yml`. You will need
+    to provide the `-f` option if you wish to load a different environment file at any point.
+
 7. Run the command:
 
     ```batch
@@ -77,29 +80,23 @@ in the wiki
 
 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).
-      - Use your credentials to log in, and then point your browser at
-        [https://huggingface.co/CompVis/stable-diffusion-v-1-4-original](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original).
-      - 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 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 downloading may take a while.
+- 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.
+- 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
+  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
+  downloading may take a while.
 
-      Now run the following commands from **within the stable-diffusion directory**
-      to copy the weights file to the right place:
+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
-      ```
+    ```batch
+    mkdir -p models\ldm\stable-diffusion-v1
+    copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt
+    ```
 
-    Please replace `C:\path\to\sd-v1.4.ckpt` with the correct path to wherever
-    you stashed this file. If you prefer not to copy or move the .ckpt file, you
-    may instead create a shortcut to it from within
-    `models\ldm\stable-diffusion-v1\`.
+Please replace `C:\path\to\sd-v1.4.ckpt` with the correct path to wherever you stashed this file. If you prefer not to copy or move the .ckpt file,
+you may instead create a shortcut to it from within `models\ldm\stable-diffusion-v1\`.
 
 9. Start generating images!
 
@@ -111,10 +108,7 @@ in the wiki
     python scripts\dream.py
     ```
 
-10. Subsequently, to relaunch the script, first activate the Anaconda command
-    window (step 3),enter the stable-diffusion directory (step 5,
-    `cd \path\to\stable-diffusion`), run `conda activate ldm` (step 6b), and
-    then launch the dream script (step 9).
+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 ldm` (step 6b), and then launch the dream script (step 9).
 
     **Note:** Tildebyte has written an alternative
     ["Easy peasy Windows install"](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
@@ -130,9 +124,9 @@ This distribution is changing rapidly. If you used the `git clone` method
 latest and greatest version, launch the Anaconda window, enter
 `stable-diffusion`, and type:
 
-```batch
-git pull
-conda env update -f environment.yaml
-```
+   ```batch
+   git pull
+   conda env update
+   ```
 
 This will bring your local copy into sync with the remote one.