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{ pkgs ? import <nixpkgs> { } }:
(pkgs.buildFHSUserEnv {
  name = "sd-manager";
  targetPkgs = pkgs: (with pkgs;
    [
      nodejs_20
      typescript
      nodePackages.typescript-language-server
      libcxx
      libpulseaudio

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Style: Enhance
Positive: breathtaking {prompt} . award-winning, professional, highly detailed
Negative: ugly, deformed, noisy, blurry, distorted, grainy

Style: Anime
Positive: anime artwork {prompt} . anime style, key visual, vibrant, studio anime,  highly detailed
Negative: photo, deformed, black and white, realism, disfigured, low contrast

Style: Photographic
Positive: cinematic photo {prompt} . 35mm photograph, film, bokeh, professional, 4k, highly detailed

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Stable Diffusion is an AI art generation model similar to DALLE-2.
Here are some prompts for generating art with Stable Diffusion. 

Example:

- A ghostly apparition drifting through a haunted mansion's grand ballroom, illuminated by flickering candlelight. Eerie, ethereal, moody lighting. 
- portait of a homer simpson archer shooting arrow at forest monster, front game card, drark, marvel comics, dark, smooth
- pirate, deep focus, fantasy, matte, sharp focus
- red dead redemption 2, cinematic view, epic sky, detailed, low angle, high detail, warm lighting, volumetric, godrays, vivid, beautiful
- a fantasy style portrait painting of rachel lane / alison brie hybrid in the style of francois boucher oil painting, rpg portrait

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{
  "txt2img/Prompt/visible": true,
  "txt2img/Prompt/value": "",
  "txt2img/Negative prompt/visible": true,
  "txt2img/Negative prompt/value": "(worst quality), (low quality), (normal quality), (((nsfw, nude))), bad-picture",
  "txt2img/Interrupt/visible": true,
  "txt2img/Skip/visible": true,
  "txt2img/Generate/visible": true,
  "txt2img/\u2199\ufe0f/visible": true,
  "txt2img/\ud83d\uddd1\ufe0f/visible": true,

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import json
import ssl
import base64
import yaml
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from threading import Thread
from pathlib import Path

from extensions.api.util import build_parameters, try_start_cloudflared
from modules import shared

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[global]
    ### Display ###

    # Which monitor should the notifications be displayed on.
    monitor = 0

    # Display notification on focused monitor.  Possible modes are:
    #   mouse: follow mouse pointer
    #   keyboard: follow window with keyboard focus
    #   none: don't follow anything

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[global]
font = Source Code Pro Black 11

# Allow a small subset of html markup:
#   <b>bold</b>
#   <i>italic</i>
#   <s>strikethrough</s>
#   <u>underline</u>
#
# For a complete reference see

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#!/usr/bin/env python
import os
import sys
from hashlib import md5
from argparse import ArgumentParser

parser = ArgumentParser(description='Compare an S3 etag to a local file')
parser.add_argument('inputfile', help='The local file')
parser.add_argument('etag', help='The etag from s3')
args = parser.parse_args()

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ssh-keygen -t rsa -b 4096 -m PEM -f jwtRS256.key
# Don't add passphrase
openssl rsa -in jwtRS256.key -pubout -outform PEM -out jwtRS256.key.pub
cat jwtRS256.key
cat jwtRS256.key.pub

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# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048