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);

	#!/usr/bin/env perl
	use strictures;
	use XML::LibXML;
	use HTTP::Status "status_message";

	print "Checking HTTP::Status version ",
	HTTP::Status->VERSION, $/, $/;

	my $page = do { local $/; <DATA> };
	my $dom = XML::LibXML->load_html( string => $page );

	BEGIN {
	package Promise;
	use Moo;
	my %STATES = map { $_ => 1 } qw/ PENDING FULFILLED REJECTED /;

	has "value" => is => "ro", writer => "_value";
	has "reason" => is => "ro", writer => "_reason";

	has [qw/ on_fulfill on_reject /] =>
	is => "ro",

	#!/usr/bin/env perl
	use strict;
	use Encode;
	use Text::Unidecode;
	use Plack::Request;
	use Text::Soundex;
	use HTML::Entities;

	=head1 Synopsis

	sub render : ActionClass('RenderView') {}

	sub end : Private {
	my ( $self, $c ) = @_;
	$c->forward("render");
	}

	#!/usr/bin/env perl
	use warnings;
	use strict;
	use List::Util qw( first );
	use Statistics::Descriptive;
	use HTML::Entities;
	use Time::Progress;
	use URI::GoogleChart;
	use LWP::Simple qw( mirror );
	use File::HomeDir;