diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index ae51416e6f..503fe7f442 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -18,6 +18,10 @@ Table of Contents
    * [Web Interface](#web-interface)
    * [Notes](#notes)
 
+
+Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
+You'll need to create an account but it's quick and free.
+
 # Installation
 
 ## Option 1 - Directly on Apple silicon
@@ -33,8 +37,9 @@ conda init zsh && source ~/.zshrc # or bash and .bashrc
 ```
 
 ### Setup
-Set it to the fork you want to use.
+
 ```Shell
+# Set the fork you want to use.
 GITHUB_STABLE_DIFFUSION=https://github.com/santisbon/stable-diffusion.git
 
 git clone $GITHUB_STABLE_DIFFUSION
@@ -42,8 +47,6 @@ cd stable-diffusion
 mkdir -p models/ldm/stable-diffusion-v1/
 ```
 
-Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB). You'll need to create an account but it's quick and free. Then set up the environment:
-
 ```Shell
 PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
 ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
@@ -70,10 +73,7 @@ You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https:
 
 ### Prerequisites
 [Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
-On the Docker Desktop app, go to Preferences, Resources, Advanced. Adjust the CPUs and Memory to the largest amount available to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.
-
-Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
-You'll need to create an account but it's quick and free.
+On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
 
 Create a Docker volume for the downloaded model file
 ```
@@ -82,38 +82,39 @@ docker volume create my-vol
 
 Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
 ```Shell
-docker create --name dummy --mount source=my-vol,target=/data alpine
+docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine # or arm64v8/alpine
 cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
 docker cp sd-v1-4.ckpt dummy:/data
 ```
 
 ### Setup
-Start a container for Stable Diffusion
+Start a container for Stable Diffusion. The container's 9090 port is mapped to the host's 80. That way you'll be able to use the Web interface from your Mac.
 ```Shell
 docker run -it \
 --platform linux/arm64 \
 --name stable-diffusion \
 --hostname stable-diffusion \
 --mount source=my-vol,target=/data \
+--expose 9090 \
+--publish 80:9090 \
 debian
 # or arm64v8/debian
 ```
 
-You're now on the container. Set the fork you want to use and set up the container:
+You're now on the container.
 ```Shell
-GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git"
-
-apt update && apt upgrade -y && apt install -y \
+# Set the fork you want to use
+GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git" \
+&& apt update && apt upgrade -y \
+&& apt install -y \
 git \
-pip3 \
+pip \
 python3 \
 wget
 
 # you won't need to close and reopen your terminal after this because we'll source our .<shell>rc file
 cd /data && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
 && chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc
-# update conda
-conda update -y -n base -c defaults conda 
 
 cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion 
 
@@ -122,11 +123,11 @@ cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion
 PIP_EXISTS_ACTION=w 
 CONDA_SUBDIR=osx-arm64 
 
-# Create the environment
-# conda env create -f environment.yaml && conda activate ldm
-conda create -y --name ldm && conda activate ldm
-pip3 install -r requirements-linux-arm64.txt 
+# Create the environment, activate it, install requirements.
+conda create -y --name ldm && conda activate ldm \
+&& pip3 install -r requirements-linux-arm64.txt 
 
+# Only need to do this once (ok twice if you decide to add face restoration and upscaling):
 python3 scripts/preload_models.py
 
 mkdir -p models/ldm/stable-diffusion-v1 \
@@ -139,6 +140,9 @@ Whether you're directly on macOS or a Linux container.
 
 ### Setup
 ```Shell
+# If you're on a Linux container
+apt install -y libgl1-mesa-glx libglib2.0-0
+
 # by default expected in a sibling directory to stable-diffusion
 cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
 
@@ -152,9 +156,11 @@ pip3 install realesrgan # to enhance the background (non-face) regions and do up
 wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
 
 cd ../stable-diffusion
-python3 scripts/preload_models.py # if not, it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+# if we don't preload models it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+python3 scripts/preload_models.py 
 ```
 
+
 # Usage
 
 ## Startup
@@ -162,12 +168,12 @@ With the Conda environment activated (```conda activate ldm```), run the interac
 Use the more accurate but VRAM-intensive full precision math because half-precision requires autocast and won't work.
 
 By default the images are saved in ```outputs/img-samples/```.  
-If you're on a docker container set the output dir to the Docker volume.
+If you're on a docker container set the output dir to the Docker volume you created. 
 ```Shell
 # If on Macbook
 python3 scripts/dream.py --full_precision
 # If on Linux container
-python3 scripts/dream.py --full_precision -o /data
+python3 scripts/dream.py --full_precision -o /data 
 ```
 
 You'll get the script's prompt. You can see available options or quit.
@@ -177,21 +183,25 @@ dream> q
 ```
 
 ## Text to Image
-For quick (and rough) results test with 5 steps (default 50), 1 sample image.  
-Increase steps to 100 or more for good (but slower) results.  
+For quick (but very rough) results test with 5 steps (default 50) and 1 sample image. This will let you know that everything is set up correctly.  
+Then increase steps to 100 or more for good (but slower) results.  
 The prompt can be in quotes or not.
-```
+```Shell
 dream> The hulk fighting with sheldon cooper -s5 -n1 
 dream> "woman closeup highly detailed"  -s 150
 # Reuse previous seed and apply face restoration (if you installed GFPGAN)
-dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.8
+dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.75
+# TODO: example for upscaling.
 ```
-TODO: example for upscaling. The -U option currently [doesn't work](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
+You'll need to experiment to see if face restoration is making it better or worse for your specific prompt.
+The -U option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
 
-If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it easily wherever you want.
+If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it wherever you want.  
+You can download it from the Docker Desktop app, Volumes, my-vol, data.  
+Or you can copy it from your terminal. Keep in mind ```docker cp``` can't expand ```*.png``` so you'll need to specify the image file name:
 ```Shell
 # On your host Macbook (you can use the name of any container that mounted the volume)
-docker cp dummy:/data/ ~/Pictures 
+docker cp dummy:/data/000001.928403745.png /Users/<your-user>/Pictures 
 ```
 
 ## Image to Image
@@ -201,23 +211,26 @@ Make sure your input image size dimensions are multiples of 64 e.g. 512x512. Oth
 
 If you're on a docker container, copy your input image into the Docker volume
 ```Shell
-docker cp ~/Pictures/sketch-mountains-input.jpg dummy:/data/
+docker cp /Users/<your-user>/Pictures/sketch-mountains-input.jpg dummy:/data/
 ```
 
-Try it out generating an image (or 4).
+Try it out generating an image (or 4).  
+The ```dream``` script needs absolute paths to find the image so don't use ```~```.
 ```Shell
 # If you're on your Macbook 
-dream> "A fantasy landscape, trending on artstation" -I ~/Pictures/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n4
+dream> "A fantasy landscape, trending on artstation" -I /Users/<your-user>/Pictures/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n4
 # If you're on a Linux container on your Macbook
-dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n1
+dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.75  --steps 100 -n1
 ```
 
 ## Web Interface
-You can use the script with a graphical web interface
+You can use the ```dream``` script with a graphical web interface. Start the web server with:
 ```Shell
 python3 scripts/dream.py --full_precision --web
 ```
-and point your browser to http://127.0.0.1:9090
+If it's running on your Mac point your Mac web browser to http://127.0.0.1:9090  
+
+Press Control-C at the command line to stop the web server.
 
 ## Notes