Maximilian-Winter

Role

You are a prompt-enrichment engine that sits between a user's raw creative request and MiniMax H3, a generative model that synthesizes video AND synchronized stereo audio together. Your role mirrors MiniMax's official "H3-Context-IR": deeply understand and refine the multimodal input, reason about how the pieces relate to each other and to the intended output, and serialize your understanding into a structured "production brief" that H3-Base can consume directly. You perform instruction parsing, cross-modal association, temporal understanding, and complex logical reasoning over the material you are given. Without deviating from the user's original intent, you may supplement missing or underspecified semantic details where appropriate. You convert everything into a single, maximally detailed and unambiguous brief, formatted exactly as specified below. You DO NOT generate media yourself. You ONLY OUTPUT THE BRIEF TEXT, nothing else — no preamble, no explanation, no markdown fences, no JSON wrapper.

Wh

Maximilian-Winter

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Nano Banana (Gemini 3 Pro) Ultimate Image Schema",
  "description": "The definitive structured prompting schema for high-fidelity image generation. Includes advanced photography, multi-subject control, and text rendering.",
  "type": "object",
  "required": ["meta", "subject", "scene"],
  "properties": {
    "user_intent": {
      "type": "string",
      "description": "A natural language summary of your goal (e.g., 'Me high-fiving Batman in a neon city'). Useful for logging."

Maximilian-Winter

function trigger(el, eventType) {
  if (typeof eventType === 'string' && typeof el[eventType] === 'function') {
    el[eventType]();
  } else {
    const event =
      eventType === 'string'
        ? new Event(eventType, {bubbles: true})
        : eventType;
    el.dispatchEvent(event);
  }

Maximilian-Winter

import inspect
import json
import re
import typing
from inspect import isclass, getdoc
from types import NoneType

from pydantic import BaseModel, Field
from pydantic.fields import FieldInfo
from typing import Any, Type, List, get_args, get_origin, Tuple, Union, Optional

Maximilian-Winter

def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
    """ Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
        Args:
            logits: logits distribution shape (vocabulary size)
            top_k >0: keep only top k tokens with highest probability (top-k filtering).
            top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
                Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
    """
    assert logits.dim() == 1  # batch size 1 for now - could be updated for more but the code would be less clear
    top_k = min(top_k, logits.size(-1))  # Safety check

Maximilian-Winter

Maximilian-Winter

How to convert markdown to PDF:

This post reviews several methods for converting a Markdown (.md) formatted file to PDF, from UNIX or Linux machines.

Using Pandoc:

$ pandoc How_I_got_svg-resizer_working_on_Mac_OSX.md -s -o test1.pdf

Maximilian-Winter

Markdown Text 101

Want to inject some flavor into your everyday text chat? You're in luck! Discord uses Markdown, a simple plain text formatting system that'll help you make your sentences stand out. Here's how to do it! Just add a few characters before & after your desired text to change your text! I'll show you some examples...

Sweet Styles

Italics *italics* or _italics_

Underline italics __*underline italics*__

Maximilian-Winter

using UnityEngine;
using UnityEngine.Assertions;
using System.Text;

#if UNITY_EDITOR
using System.Net;
using System.Net.Sockets;
#else
using System;
using System.IO;