Ed Wios edwios

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:

Waifu Diffusion 1.3 Release Notes

HuggingFace Page for model download: https://huggingface.co/hakurei/waifu-diffusion-v1-3

	#!/usr/bin/env bash
	# claude-mtplx — run the Claude Code CLI against a locally served MTPLX model.
	#
	# Starts the MTPLX server if it isn't already listening, then execs `claude`
	# with the Anthropic-compatible endpoint pointed at it. Any arguments are
	# passed straight through to claude, e.g.:
	#
	# claude-mtplx # interactive session
	# claude-mtplx -p "explain this" # one-shot
	# claude-mtplx --mtplx-stop # stop the server and exit

	{
	"id": "0a99bf5b-5c7e-49af-aa2e-0b0ec5b91a36",
	"revision": 0,
	"last_node_id": 377,
	"last_link_id": 595,
	"nodes": [
	{
	"id": 95,
	"type": "BasicScheduler",
	"pos": [

	import base64
	import functools
	import operator
	from typing import *
	from typing import Annotated, Any, Dict, List, Sequence

	from dto.chat import *
	from dto.graph import *
	from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
	from langchain.tools import BaseTool

	# Copyright 2023 Taiga Takano
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http:#www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,

	# Convert a LLaMA model checkpoint to a ggml compatible file
	#
	# Load the model using Torch
	# Iterate over all variables and write them to a binary file.
	#
	# For each variable, write the following:
	# - Number of dimensions (int)
	# - Name length (int)
	# - Dimensions (int[n_dims])
	# - Name (char[name_length])

	OTA Start:
	00 FF

	OTA Start1:
	01FF

	OTA Packets:
	block data crc
	00 00 2680000000005d024b4e4c5430048800 1ca3

	import argparse
	import cv2
	import dlib
	import json
	import numpy
	import skimage
	from pathlib import Path
	from tqdm import tqdm
	from umeyama import umeyama

Ed Wios edwios

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

Waifu Diffusion 1.3 Release Notes

Table of Contents