use Admonitions for notes, warnings, ...

docs/features/CLI.md

@@ -22,7 +22,9 @@ be retrieved using scripts/images2prompt.py
 
 The script is confirmed to work on Linux, Windows and Mac systems.
 
-_Note:_ This script runs from the command-line or can be used as a Web application. The Web GUI is
+!!! note
+
+    This script runs from the command-line or can be used as a Web application. The Web GUI is
     currently rudimentary, but a much better replacement is on its way.
 
 ```bash
@@ -99,10 +101,10 @@ These arguments are deprecated but still work:
 | `--weights <path>` |          | `None`  | Pth to weights file; use `--model stable-diffusion-1.4` instead |
 | `--laion400m`      | `-l`     | `False` | Use older LAION400m weights; use `--model=laion400m` instead   |
 
-### **A note on path names:**
+!!! note
 
     On Windows systems, you may run into problems when passing the dream script standard backslashed
-path names because the Python interpreter treats "\" as an escape. You can either double your
+    path names because the Python interpreter treats `\` as an escape. You can either double your
     slashes (ick): `C:\\\\path\\\\to\\\\my\\\\file`, or use Linux/Mac style forward slashes (better):
     `C:/path/to/my/file`.
 
@@ -144,7 +146,9 @@ Those are the `dream` commands that apply to txt2img:
 | `--variation <float>`          | `-v<float>`        | `0.0`                 | Add a bit of noise (0.0=none, 1.0=high) to the image<br>in order to generate a series of variations. Usually<br>used in combination with `-S<seed>` and `-n<int>`<br>to generate a series a riffs on a starting image.<br>See [Variations](./VARIATIONS.md). |
 | `--with_variations <pattern>` | `-V<pattern>`     | `None`                | Combine two or more variations. See [Variations](./VARIATIONS.md)<br>for now to use this.                                                                                                                                                                    |
 
-Note that the width and height of the image must be multiples of 64. You can provide different
+!!! note
+
+    The width and height of the image must be multiples of 64. You can provide different
     values, but they will be rounded down to the nearest multiple of 64.
 
 ### This is an example of img2img

docs/features/EMBIGGEN.md

@@ -59,7 +59,6 @@ and it can also be less than one if the init_img is too big.
 Esrgan_strength defaults to 0.75, and the overlap_ratio defaults to
 0.25, both are optional.
 
-
 Unlike Img2Img, the `--width` (`-W`) and `--height` (`-H`) arguments
 do not control the size of the image as a whole, but the size of the
 tiles used to Embiggen the image.
@@ -120,7 +119,7 @@ tiles:
 dream> a photo of puffy clouds over a forest at sunset -s 100 -W 512 -H 512 -I outputs/000002.seed.png -f 0.5 -embiggen_tiles 1 2 3
 ```
 
-## Note
+!!! note
 
     Because the same prompt is used on all the tiled images, and the model
     doesn't have the context of anything outside the tile being run - it

docs/features/TEXTUAL_INVERSION.md

@@ -39,7 +39,7 @@ and one with the init word provided.
 
 On a RTX3090, the process for SD will take ~1h @1.6 iterations/sec.
 
-!!! Info _Note_
+!!! note
 
     According to the associated paper, the optimal number of
     images is 3-5. Your model may not converge if you use more images than

docs/features/UPSCALE.md

@@ -30,7 +30,9 @@ this package which asked you to install GFPGAN in a sibling directory, you may u
 `--gfpgan_dir` argument with `dream.py` to set a custom path to your GFPGAN directory. _There are
 other GFPGAN related boot arguments if you wish to customize further._
 
-**Note: Internet connection needed:** Users whose GPU machines are isolated from the Internet (e.g.
+!!! warning "Internet connection needed"
+
+    Users whose GPU machines are isolated from the Internet (e.g.
     on a University cluster) should be aware that the first time you run dream.py with GFPGAN and
     Real-ESRGAN turned on, it will try to download model files from the Internet. To rectify this, you
     may run `python3 scripts/preload_models.py` after you have installed GFPGAN and all its
@@ -83,7 +85,7 @@ This also works with img2img:
 dream> a man wearing a pineapple hat -I path/to/your/file.png -U 2 0.5 -G 0.6
 ```
 
-### **Note**
+!!! note
 
     GFPGAN and Real-ESRGAN are both memory intensive. In order to avoid crashes and memory overloads
     during the Stable Diffusion process, these effects are applied after Stable Diffusion has completed

docs/features/VARIATIONS.md

@@ -29,7 +29,7 @@ This will be indicated as `prompt` in the examples below.
 First we let SD create a series of images in the usual way, in this case
 requesting six iterations:
 
-```
+```bash
 dream> lucy lawless as xena, warrior princess, character portrait, high resolution -n6
 ...
 Outputs:
@@ -102,6 +102,7 @@ generate more variations around the almost-but-not-quite image. We do the
 latter, using both the `-V` (combining) and `-v` (variation strength) options.
 Note that we use `-n6` to generate 6 variations:
 
+```bash
 dream> "prompt" -S3357757885 -V3647897225,0.1,1614299449,0.1 -v0.05 -n6
 Outputs:
 ./outputs/Xena/000004.3279757577.png: "prompt" -s50 -W512 -H512 -C7.5 -Ak_lms -V 3647897225:0.1,1614299449:0.1,3279757577:0.05 -S3357757885

docs/index.md

@@ -34,9 +34,11 @@ source text-to-image generator. It provides a streamlined process with various n
 options to aid the image generation process. It runs on Windows, Mac and Linux machines, and runs on
 GPU cards with as little as 4 GB or RAM.
 
-_Note: This fork is rapidly evolving. Please use the
+!!! note
+
+    This fork is rapidly evolving. Please use the
     [Issues](https://github.com/lstein/stable-diffusion/issues) tab to report bugs and make feature
-requests. Be sure to use the provided templates. They will help aid diagnose issues faster._
+    requests. Be sure to use the provided templates. They will help aid diagnose issues faster.
 
 ## Installation
 
@@ -64,7 +66,7 @@ You wil need one of the following:
 
 - At least 6 GB of free disk space for the machine learning model, Python, and all its dependencies.
 
-### Note
+!!! note
 
     If you are have a Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in
     full-precision mode as shown below.

docs/installation/INSTALL_LINUX.md

@@ -57,7 +57,9 @@ title: Linux
     (ldm) ~/stable-diffusion$ python3 scripts/preload_models.py
     ```
 
-    Note that this step is necessary because I modified the original just-in-time
+    !!! note
+
+        This step is necessary because I modified the original just-in-time
         model loading scheme to allow the script to work on GPU machines that are not
         internet connected. See [Preload Models](../features/OTHER.md#preload-models)