Z-Image Turbo LoRA training with AI Toolkit and Z-Image ControlNet Full Tutorial for Highest Quality

Full tutorial: https://www.youtube.com/watch?v=ezD6QO14kRc

Z-Image Turbo LoRA training with Ostris AI Toolkit + Z-Image Turbo Fun Controlnet Union + 1-click to download and install the very best Z-Image Turbo presets. In this tutorial, I will explain how to setup Z-Image Turbo model properly in your local PC with SwarmUI and download models and use them with highest quality via ready presets. Moreover, I will show to install Z-Image Turbo Fun Controlnet Union to generate amazing quality images with ControlNet preprocessors. Furthermore, I will show how to 1-click install AI Toolkit from Ostris and train Z-Image Turbo model LoRAs with highest quality configs made for every GPU like 8 GB GPUs, 12 GB GPUs, 24 GB GPUs and so on. I did a massive research to prepare these Z-Image Turbo model training configurations.

👇 Links & Resources Mentioned:

Download SwarmUI & Models: [ https://www.patreon.com/posts/Download-SwarmUI-Models-114517862 ]

Ostris AI Toolkit (SECourses Version): [ https://www.patreon.com/posts/Ostris-AI-Toolkit-140089077 ]

Ultimate Batch Image Processing App: [ https://www.patreon.com/posts/Ultimate-Batch-Image-Processing-App-120352012 ]

SwarmUI with ComfyUI Backend Windows Tutorial: [ https://youtu.be/c3gEoAyL2IE ]

SwarmUI with ComfyUI Backend RunPod and Massed Compute Cloud Tutorial: [ https://youtu.be/bBxgtVD3ek4 ]

⏱️ Video Chapters:

00:00:00 Introduction to Z-Image Turbo Model

00:00:54 FP8 Scaled Version 5.7GB for Low VRAM

00:01:10 ControlNet Union with Z-Image Turbo

00:01:30 LoRA Training with Ostris AI Toolkit

00:02:00 Default vs Custom Training Preset Quality Comparison

00:03:00 RunPod Cloud Training Preview

00:03:40 MassedCompute Cloud Training Preview

00:04:16 Downloading Z-Image Models via SwarmUI

00:05:00 Z-Image Turbo Core Bundle & ControlNet Files

00:05:58 FP8 Scaled Model & Musubi Tuner Converter

00:07:13 Updating ComfyUI for Sage & Flash Attention

00:08:13 Updating SwarmUI & ControlNet Preprocessors

00:08:52 Updating & Importing Latest SwarmUI Presets

00:09:20 Generating with Quality 2 Fast Preset

00:10:48 Generating with Quality 1 Upscale Preset

00:11:35 Quality 1 vs Quality 2 Visual Comparison

00:12:13 Setting up ControlNet Input & Aspect Ratio

00:13:41 ControlNet Strength Settings & Canny Test

00:15:26 Using Depth Preprocessor with Z-Image

00:15:58 Coloring Lineart Drawings with ControlNet

00:16:58 Lineart Preprocessing Comparison

00:17:50 Ostris AI Toolkit Installation Prerequisites

00:19:12 Installing Ostris AI Toolkit on Windows

00:20:02 First Time UI Setup & Launching Interface

00:21:04 Loading Custom Training Configs

00:21:38 Creating a New Dataset Structure

00:22:24 Ultimate Batch Image Processing App Install

00:23:17 Dataset Prep Stage 1: Auto-Zooming with SAM2

00:26:08 Dataset Prep Stage 2: Resizing to Exact Resolution

00:28:12 How to Select Best Training Images

00:30:24 Importance of Emotions & Angles in Datasets

00:31:44 Z-Image Resolution & Aspect Ratio Rules

00:33:21 Configuring Training Parameters & Epochs

00:36:52 Resolution Impact on Training Speed

00:37:46 Starting the Training Job on Windows

00:38:39 Monitoring Training Progress & VRAM

00:39:43 Checkpoint Generation Settings

00:40:40 Resuming Training from Last Checkpoint

00:42:09 Training Speeds on RTX 5090 vs 4090 vs 3060

00:43:01 Training Quality: Default vs Custom Preset Comparison

00:44:21 Testing LoRAs with SwarmUI Grid Generator

00:46:04 Fixing ControlNet Error in Grid Generation

00:47:09 Comparing Generated LoRA Checkpoints

00:47:38 Using Trained LoRA with ControlNet Union

00:48:10 RunPod: GPU Selection & Template Setup

00:50:32 RunPod: Port 8675 Config & Initialization

00:51:36 RunPod: Uploading Installation Files

00:52:01 RunPod: One-Click Installation Command

00:54:07 RunPod: Starting AI Toolkit & Proxy Connection

00:54:38 RunPod: Uploading Dataset via Interface

00:55:32 RunPod: Starting the Training Job

00:56:24 RunPod: Speed & Cost Analysis

00:57:28 RunPod: Auto-Stop Command Setup

00:58:24 MassedCompute: GPU Selection & Coupon Code

01:00:16 MassedCompute: ThinLinc Client Setup

01:01:21 MassedCompute: Transferring Files to Shared Folder

01:02:55 MassedCompute: Installation Command

01:05:49 MassedCompute: Connecting via Public URL

01:06:54 MassedCompute: Starting Training Job

01:08:43 Downloading Checkpoints & Stopping Instance

🚀 Master Z-Image Turbo & LoRA Training: The Ultimate Guide!

In this comprehensive tutorial, I show you how to generate ultra-realistic images in seconds using the lightweight Z-Image Turbo model. We cover everything from 1-click installation on SwarmUI (ComfyUI backend) to mastering ControlNet Union for precise image control.

But that’s not all! I also reveal how to train your own high-quality Z-Image Turbo LoRAs using the Ostris AI Toolkit. I have developed a custom training preset that significantly outperforms the default settings—you have to see the comparison to believe it! Whether you are on a local PC, RunPod, or MassedCompute, this guide has you covered.

🔥 What You Will Learn:

Z-Image Turbo Setup: How to run this fast, 6GB model (FP8 included) on almost any GPU.

ControlNet Mastery: Use Canny, Depth, and Lineart to control your generations perfectly.

LoRA Training: Step-by-step guide