Ashley Pond V pangyre

Z‑Image Turbo is a bit different from “classic” Stable Diffusion, so a lot of old prompting habits don’t quite apply. I’ll walk through how to prompt it deeply and safely, with special focus on controlling content (nudity, stereotypes, unwanted artifacts) even though the model does not support traditional negative prompts at all. ([Hugging Face][1])

1. How Z‑Image Turbo thinks (and why “negative” prompts don’t work)

Key facts that matter for prompting:

	#!/usr/bin/env perl
	use strictures;
	use List::Util "reduce";
	use Path::Tiny;
	use YAML;

	# Given a list of filenames, return a hash of each word and the number
	# of times it occurs.

	my $reduced = word_count(@ARGV);