A simple and streamlined ComfyUI workflow for removing the background from video using BiRefNet segmentation.
This workflow loads a video, removes the background frame-by-frame, and exports a transparent WebM video with alpha channel.
Load Video → BiRefNet Background Removal → Video Combine (Transparent Output)
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0" /> | |
| <meta http-equiv="X-UA-Compatible" content="ie=edge" /> | |
| <title>Weather App</title> | |
| <style> | |
| h1, | |
| h2, |
| import { useState } from 'react'; | |
| type AppLocale = 'en-US' | 'es-ES' | 'ko-KR'; | |
| type Translations = { | |
| [K in AppLocale]: { | |
| [key: string]: string; | |
| }; | |
| }; | |
| const TRANSLATIONS: Translations = { |
| EL CÓDIGO DE LA VIDA | |
| CAPÍTULO 1: EL UMBRAL DEL IMPOSIBLE | |
| Primera Parte | |
| El microscopio electrónico proyectaba su imagen familiar en la pantalla: una célula humana congelada en el momento exacto de la mitosis. Elisa Navas ajustó el enfoque con movimientos precisos, ignorando el dolor punzante en su muñeca derecha —secuela de años inclinada sobre equipos de laboratorio. A sus cincuenta y dos años, su cuerpo comenzaba a cobrarle la factura de décadas de dedicación obsesiva. | |
| —Sigues aquí. | |
| La voz de Kwame Osei no la sobresaltó. Después de tres años trabajando juntos en el proyecto, había aprendido a reconocer sus pasos incluso en el laboratorio insonorizado. El físico ghanés se acercó, su reflejo distorsionado en la superficie curva del microscopio. | |
| —El comité de bioética se reunió esta tarde —dijo Kwame, sin preámbulos—. Votaron. |
| local UserInputService = game:GetService("UserInputService") | |
| local TweenService = game:GetService("TweenService") | |
| local RunService = game:GetService("RunService") | |
| local Players = game:GetService("Players") | |
| local CoreGui = game:GetService("CoreGui") | |
| local localPlayer = Players.LocalPlayer | |
| local REQUIRED_ID = 114697347887839 | |
| local SCRIPT_VERSION = "v5.1.0" |
| @echo off | |
| setlocal enabledelayedexpansion | |
| rem !!! build requirements !!! | |
| rem Visual Studio 2022 - https://visualstudio.microsoft.com/vs/ | |
| rem 7-Zip - https://www.7-zip.org/download.html | |
| rem Python - https://www.python.org/downloads/ | |
| rem CMake - http://www.cmake.org/download/ | |
| rem ninja.exe - https://github.com/ninja-build/ninja/releases/latest |
