mscalora

FROM: https://www.reddit.com/r/AiGeminiPhotoPrompts/comments/1pfud63/how_to_turn_your_photo_into_bold_thick_paint_on/

Original: (usually replaces background with spray of bright colors)

Generate an image from the uploaded photo. Keep your facial features and skin tone at 100 percent. Keep the look gender neutral. Show you as a painted figure with thick palette knife texture, visible strokes, fresh oil paint, and a heavy textured canvas surface. Place you in a chaotic colorful abstract background with uneven marks and strokes that match the same painted style. Use close camera framing so you fill most of the scene. Keep strong light from the front to show texture and color contrast.

Leave Background: (usually makes existing background look more abscrat with the new painting style)

Generate an image from the uploaded photo. Keep your facial features and skin tone at 100 percent. Keep the look gender neutral. Show you as a painted figure with thick palette knife texture, visible strokes, fresh oil paint, and

mscalora

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.9"
# dependencies = [
#     "requests",
# ]
# ///

import requests

mscalora

#define ATLANTIC_TZ -5
#define EASTERN_TZ -5
#define CENTRAL_TZ -6
#define MOUNTAIN_TZ -7
#define PACIFIC_TZ -8
#define ALASKA_TZ -9
#define HAWAII_TZ -11

struct DateTime {

mscalora

#include <vector>
#include <functional>

const char* poolNTPServerName = "pool.ntp.org";
const unsigned long seventyYears = 2208988800UL;

class MicroNTP {
  public:
    static const int NTP_PACKET_SIZE = 48; // NTP time stamp is in the first 48 bytes of the message

mscalora

#!/usr/bin/env python3

import os, sys, re

skip = re.compile(sys.argv[3] if len(sys.argv) > 3 else '$.')

def compare_dirs(d1: "old directory name", d2: "new directory name"):
    def print_local(a, msg):
        print('DIR ' if a[2] else 'FILE', a[1], msg)
    # ensure validity

mscalora

      function get(url, data, successCallback, errorCallback, responseType) {
        const urlObj = new URL(url);
        const params = urlObj.searchParams;
        Object.entries(data||{}).forEach(([key, value]) => params.set(key, value));
        url = urlObj.toString();
        fetch(url)
          .then(response => {
            if (!response.ok) { throw new Error(response.status); }
            const contentType = response.headers.get('content-type');
            const isJson = responseType === 'json' || (responseType === 'auto' && contentType && contentType.includes('application/json'));

mscalora

      function post(url, data, successCallback, errorCallback, responseType) {
        fetch(url, {
          method: 'POST',
          headers: {'Content-Type': 'application/x-www-form-urlencoded'},
          body: new URLSearchParams(data),
        })
          .then(response => {
            if (!response.ok) { throw new Error(response.status); }
            const contentType = response.headers.get('content-type');
            const isJson = responseType === 'json' || (responseType === 'auto' && contentType && contentType.includes('application/json'))

mscalora

This set of scripts/files is used to link blink cameras to PrusaConnect.

This is rough, you need a working knowledge of python, requirements.txt, venv to use.

The cron job has worked reliably for me for several years.

Generating the blink.creds file is an exercise left to the reader, study the blinkpy documentation.

mscalora

#!/usr/bin/env bash
#
# Update letsencrypt on a lighttp installation
#
# if you installed letsencrypt in a non-standard location you
# can set the LEDIR env var before you run this script
#

# setup letsencrypt install directory
STDLEDIR=/opt/letsencrypt

mscalora

[print:*common*]
perimeters = 4
skirts = 0
first_layer_speed = 18

[print:*MK4*]
first_layer_speed = 19