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

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

import requests

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#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 {

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#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

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      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'));

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      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.

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

[print:*MK4*]
first_layer_speed = 19

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Prusa Slicer Default Print Settings

Description

I hate skirts, I find them to be a big waste of time, a small waste of filament with little or no value. The purge line in the preamble is plenty for my printer. I got tired of turning them off manually every time I used a built-in print setting. By editing this file you can change the built-ins although you have to do this again every time a new "settings update" is applied. In the future I might automate the process with a file watcher mechanism that will run every night or something. I also like to print with at least 3 parimeters and I slow down the first layer by 10% from the usual 20.

Edit

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from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib import parse
import json

def run_server(port):

  class Server(BaseHTTPRequestHandler):

    def do_GET(self):
      self.send_response(200)