Michael Becker mdbecker

Detailed Guide for Running Hunyuan Video T2V on Your M4 MacBook

This guide shows you how to run the Hunyuan Video text‑to‑video (T2V) workflow on your M4 MacBook (128 GB RAM with a top‑end GPU). We’ll use the pre‑built dmg file to install ComfyUI (avoiding the need to compile C++ code), set up the workflow in “fast video” mode (reducing inference steps from ~20 to 6–8), and cover downloading and organizing the required model files.

1. Overview

You will install ComfyUI using its pre‑built dmg installer, then configure the Hunyuan Video workflow from the available collection. We focus on using T2V (text‑to‑video) with the “fast video” mode to achieve faster iteration times. With your M4 MacBook’s ample resources, you can experiment confidently while monitoring system performance.

Mods

1. Core helpers

Antibodies
Skill Recovery Journal
[B41/B42] Homebound: Spawn Point

2. Maps / Radar 4. MinimapZ

	import mailbox
	import csv
	import email.utils
	from collections import defaultdict
	import argparse
	from pathlib import Path
	from bs4 import BeautifulSoup
	from tqdm import tqdm

	# Constants for field names

	import hashlib
	import json
	import random
	from datetime import datetime

	import diffusers
	import piexif
	import torch
	from diffusers import FluxPipeline
	from PIL import Image