Awesome

Noodle Soup Prompts - Prompt Terminology Generator</font>

<a href="https://rebrand.ly/noodle-soup-prompts"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>

This tool contains a growing database of terminology to help build interesting prompts for Disco Diffusion. Give it a try!

Artist names gathered by MisterRuffian (Discord Misterruffian#2891) on his amazing Latent Artist & Modifier Encyclopedia.

Terminology Database created by WASasquatch (Discord: WAS#0263)

Contribute

Feel free to make pull requests with new terminology. Let's make this a expansive and easy way to discover new prompts!

Installation

Update: You do not use import nspterminology anymore. NSP will download the terminology database json on first run.

Noodle Soup Prompts was initially meant to be just a basic script for random prompt generation, but I have moved things over to a PY file you can download and import to use the database in your own projects.

Download nsp_pantry.py (Python)

wget -q --show-progress --no-cache 'https://raw.githubusercontent.com/WASasquatch/noodle-soup-prompts/main/nsp_pantry.py'

Download nsp_pantry.json (JSON)

wget -q --show-progress --no-cache 'https://raw.githubusercontent.com/WASasquatch/noodle-soup-prompts/main/nsp_pantry.json'

Import and Parse (Python)

import nsp_pantry
from nsp_pantry import nsp_parse

text_prompts = {
    0: [
        "Portrait of a _adj-beauty_ _noun-emote_ _nationality_ woman with pearlescent skin and white hair by _artist_, _site_.:5",
        "_hd_, _hd_, _3d-terms_, _3d-terms_:2",
        "_color_ Color Scheme",
        ],
}

new_prompts = nsp_parse(text_prompts)

print(new_prompts)

Note: nsp_parse() can accept dict, list and str input.

Example Output

{0: ['Portrait of a goodly Enraged Hungarian woman with pearlescent skin and white hair by Ferdinand Keller, trending on CGSociety.:5', 'HDR, 12k resolution, Bitmap, Raster graphics:2', 'Uranian blue Color Scheme']}