I decided to delve further into the dark (mode) side 
This time with the editor (BTW, the Dashboard is an easy to change Theme option, why not the Editor??)
But after repeatedly following the directions, and seemingly getting that right, I am not seeing any changes...
NOTE: I have installed this a few times already, so I guess that's why it looks like this?
pi@raspberrypi:~ $ npm install @node-red-contrib-themes/theme-collection
npm WARN saveError ENOENT: no such file or directory, open '/home/pi/package.json'
npm WARN enoent ENOENT: no such file or directory, open '/home/pi/package.json'
npm WARN pi No description
npm WARN pi No repository field.
npm WARN pi No README data
npm WARN pi No license field.
+ @node-red-contrib-themes/theme-collection@2.0.3
updated 1 package and audited 7 packages in 3.257s
6 packages are looking for funding
run `npm fund` for details
found 0 vulnerabilities
pi@raspberrypi:~ $
Edit the settings.js file...
Stop and restart NR...
pi@raspberrypi:~ $ node-red-stop
Stop Node-RED
Use node-red-start to start Node-RED again
pi@raspberrypi:~ $ node-red-start
Start Node-RED
Once Node-RED has started, point a browser at http://10.10.3.13:1880
On Pi Node-RED works better with the Firefox or Chrome browser
Use node-red-stop to stop Node-RED
Use node-red-start to start Node-RED again
Use node-red-log to view the recent log output
Use sudo systemctl enable nodered.service to autostart Node-RED at every boot
Use sudo systemctl disable nodered.service to disable autostart on boot
To find more nodes and example flows - go to http://flows.nodered.org
Starting as a systemd service.
15 Aug 14:25:52 - [info]
Welcome to Node-RED
===================
15 Aug 14:25:52 - [info] Node-RED version: v2.0.5
15 Aug 14:25:52 - [info] Node.js version: v14.17.5
15 Aug 14:25:52 - [info] Linux 5.10.52-v7+ arm LE
15 Aug 14:25:54 - [info] Loading palette nodes
15 Aug 14:26:02 - [info] Worldmap version 2.15.5
15 Aug 14:26:02 - [info] Dashboard version 2.30.0 started at /ui
15 Aug 14:26:04 - [info] Settings file : /home/pi/.node-red/settings.js
15 Aug 14:26:04 - [info] HTTP Static : /home/pi/node-red-static
15 Aug 14:26:04 - [info] Context store : 'default' [module=memory]
15 Aug 14:26:04 - [info] User directory : /home/pi/.node-red
15 Aug 14:26:04 - [warn] Projects disabled : editorTheme.projects.enabled=false
15 Aug 14:26:04 - [info] Flows file : /home/pi/.node-red/flows.json
15 Aug 14:26:04 - [info] Server now running at http://127.0.0.1:1880/
15 Aug 14:26:04 - [warn]
---------------------------------------------------------------------
Your flow credentials file is encrypted using a system-generated key.
If the system-generated key is lost for any reason, your credentials
file will not be recoverable, you will have to delete it and re-enter
your credentials.
You should set your own key using the 'credentialSecret' option in
your settings file. Node-RED will then re-encrypt your credentials
file using your chosen key the next time you deploy a change.
---------------------------------------------------------------------
15 Aug 14:26:05 - [info] Starting flows
creating LCD node
LCD node init @ i2c addr:63
15 Aug 14:26:10 - [info] Started flows
15 Aug 14:26:10 - [info] [remote-xy-dashboard:RemoteXY] listening on port 6377
15 Aug 14:26:12 - [info] [mqtt-broker:RPi Mosquitto broker] Connected to broker: mqtt://10.10.3.13:1883
15 Aug 14:26:12 - [info] [mqtt-broker:Local] Connected to broker: mqtt://127.0.0.1:1883
(node:3278) Warning: Setting the NODE_TLS_REJECT_UNAUTHORIZED environment variable to '0' makes TLS connections and HTTPS requests insecure by disabling certificate verification.
(Use `node --trace-warnings ...` to show where the warning was created)
Initialized PCA9685
2021-08-15 14:26:18.753872: W tensorflow/core/framework/allocator.cc:107] Allocation of 8640000 exceeds 10% of system memory.
2021-08-15 14:26:18.855964: W tensorflow/core/framework/allocator.cc:107] Allocation of 8640000 exceeds 10% of system memory.
2021-08-15 14:26:18.910742: W tensorflow/core/framework/allocator.cc:107] Allocation of 8640000 exceeds 10% of system memory.
2021-08-15 14:26:18.928450: W tensorflow/core/framework/allocator.cc:107] Allocation of 8640000 exceeds 10% of system memory.
But still the white hat on a pale horse version....
