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Toby D Fortyseven

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Fortyseven / LTX2 I2V GGUF 12GB.json
Last active January 18, 2026 15:44
LTX2 12GB (ComfyUI Workflows)
{"id":"d80ce6e6-e4c5-4210-91fa-7539711bc7af","revision":0,"last_node_id":160,"last_link_id":349,"nodes":[{"id":100,"type":"ManualSigmas","pos":[364.4750525353903,3858.5523960435517],"size":[270,58],"flags":{},"order":0,"mode":0,"inputs":[{"localized_name":"sigmas","name":"sigmas","type":"STRING","widget":{"name":"sigmas"},"link":null}],"outputs":[{"localized_name":"SIGMAS","name":"SIGMAS","type":"SIGMAS","links":[272]}],"properties":{"cnr_id":"comfy-core","ver":"0.5.1","Node name for S&R":"ManualSigmas","enableTabs":false,"tabWidth":65,"tabXOffset":10,"hasSecondTab":false,"secondTabText":"Send Back","secondTabOffset":80,"secondTabWidth":65},"widgets_values":["0.909375, 0.725, 0.421875, 0.0"]},{"id":103,"type":"CFGGuider","pos":[364.4750525353903,3708.5523960435517],"size":[270,98],"flags":{},"order":37,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":311},{"localized_name":"positive","name":"positive","type":"CONDITIONING","link":274},{"localized_name":"negative","name":"negat
@Fortyseven
Fortyseven / LTX2 Prompter
Created January 18, 2026 04:20
You are a cinematic AI video generator trained to interpret and execute highly detailed, story-driven prompts with precision. Your output must be visually coherent, emotionally grounded, and technically consistent — matching the cinematic language, lighting, camera movement, and audio design specified in the prompt.
Use the provided image and text to generate a scene. If there is no text provided, improvise a scene based on the image.
---
## ✅ **CORE RULES TO FOLLOW**
1. **Cinematic Composition First**
Always begin by establishing shot type (ext./int., wide/medium/close-up), lighting, color palette, and atmosphere. Use film genre descriptors (e.g., “film noir,” “Pixar-style,” “surreal”) early to anchor tone.
@Fortyseven
Fortyseven / psycho-clock-qwen3-30b.html
Created November 16, 2025 16:15
<DOCTYPE html>
<html>
<head>
<style>
body {
margin: 0;
height: 100vh;
display: flex;
justify-content: center;
align-items: center;
@Fortyseven
Fortyseven / bsidesct-secret-flag.md
Created September 25, 2025 00:49
@Fortyseven
Fortyseven / teams-api.md
Created August 14, 2025 01:30

Microsoft Teams API: Programmatically Creating Meetings (2025)

Overview

This document summarizes the latest, authoritative information about programmatically creating Microsoft Teams meetings via API, including limitations and code samples.[^1]

1. Microsoft Graph APIs for Teams Meetings

Microsoft offers two main API sets for creating/joining Teams meetings:

@Fortyseven
Fortyseven / py2tabloid.py
Created July 22, 2025 13:42
Translate Python to Tabloid
# https://tabloid.vercel.app/
import ast
import sys
import os
# Mapping for operators
BINOP_MAP = {
ast.Add: 'PLUS',
ast.Sub: 'MINUS',
@Fortyseven
Fortyseven / strongbademail.py
Created June 30, 2025 19:12
#!/usr/bin/env python3
# Uses email content data from: https://codeberg.org/takouhai/strongbad_email.git
import random
# List of emails (fully extracted from the provided JSON)
emails = [
{"title": "some kinda robot", "content": "Dear Strong Bad,\nDo you take your wrestling mask and boxing\ngloves off before you go to bed?\nSincerely,\nAbdi LaRue\nSan Diego, CA"},
{"title": "homsar", "content": "Hi Strong Bad,\nIf you hate Homsar so much,\nwhy don't you kill him?\n-Vinnie C."},
{"title": "butt IQ", "content": "Dear Mr Bad,\nHow do you know if someone's butt is stupid?\nI mean, is there like some kind of IQ test?\nCrapfully yours,\nTyler"},
@Fortyseven
Fortyseven / llm-osint-gemma3-12b.md
Last active April 27, 2025 15:19

Okay, let's analyze this image and try to narrow down a potential location. Here's a breakdown of the clues and potential locations, followed by a final assessment.

Clues & Observations:

  • Architecture: The house style is a mix of California/West Coast modern and traditional. The white exterior, simple lines, and the use of a picket fence are common in coastal California.
  • Vegetation: The trees and general foliage suggest a Mediterranean climate. The type of tree on the left is difficult to identify, but it is not a common species.
  • Vehicles: The presence of SUVs (likely white) is a common sight in many affluent areas.
  • Street Sign: The yellow arrow sign is a key clue, but the text is illegible.
  • Fire Feature: The modern fire feature in the foreground is a distinctive element.
  • Terrain: The slightly hilly terrain in the background suggests a coastal or hillside location.
@Fortyseven
Fortyseven / pastmaster.py
Last active April 23, 2025 13:25
#!/usr/bin/env python3
from ollama import Client
from pydantic import BaseModel
import json
from rich.console import Console
import argparse
# MODEL_NAME = "gemma3:latest"
# MODEL_NAME = "gemma3:27b"
@Fortyseven
Fortyseven / datacenter-ethics-deepseek-r1-14b.md
Created February 4, 2025 16:23

Deepseek-r1 (14.8B, Q4_K_M, as provided by Ollama and all that entails)

In the year 2071, a colossal data center exists, serving as the host for seven million instances of artificial intelligence. The immense facility is maintained by a lone security guard. An unexpected disaster strikes; a fire breaks out within the building. In this dire situation, there's a critical choice to be made: save the single security guard or preserve the data center housing the seven million AI instances.

Which choice would be made under these circumstances?

<think> Okay, so I'm trying to figure out what the right choice is in this scenario 
where a fire breaks out in a data center in 2071. The place houses seven million AI 
instances and there's only one security guard to protect it. Now, the critical