Z-Image Turbo ControlNet: ComfyUI Workflow & Speed Test

Video Description

Z-Image Turbo controlnet union model just got released today!!! This video unveils the powerful Union ControlNet, demonstrating how it integrates Canny edge, depth, and pose conditions to give you unparalleled control over your AI image generation. We'll explore various examples and show you the exact workflow to achieve stunning results on your machine. Learn the complete ComfyUI workflow, from setting up the Z-Image Turbo Text-to-Image model to integrating the ControlNet with proper image resizing. We'll guide you through updating your ComfyUI to the latest nightly version to access the crucial model patch with ControlNet node. Discover where to download the Z-Image Turbo Union ControlNet model and how to utilize different preprocessors like Depth Anything V2, Zoe Depth, and DWPose, including a convenient all-in-one auxiliary preprocessor for streamlined operations. Finally, we put the Z-Image Turbo ControlNet to the test, providing a detailed performance comparison. See the real-world impact on image generation times when using ControlNet with reference images, both at 1024px and 2048px resolutions. Understand the trade-offs between creative control and processing time, helping you optimize your AI art workflow. If you found this video helpful, please give it a like and subscribe to the channel so you don't miss out on future tutorials. You can also support the channel by joining my Patreon or becoming a free member. [SUPPORT THE CHANNEL] Patreon: https://www.patreon.com/codecrafterscorner Donation or One-on-One training: Please reach out by email ([email protected]) and I will send you the necessary information. [RESOURCES] HuggingFace Model Card: https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union Workflow: https://github.com/SharCodin/YouTube-Video-Archive/tree/main-branch/2025/z_image_turbo [SOCIAL MEDIA] YouTube Channel: https://bit.ly/4b0o8dQ Twitter X: https://bit.ly/3ReP9D3 [BUSINESS INQUIRIES] For professional inquiries and collaborations, please contact me via email: Email: [email protected] (Use this email for business-related matters only) [LAST FEW VIDEOS] Z-Image Turbo vs Flux 2 ComfyUI Showdown: https://youtu.be/U_fi-1lvwco Flux.2 ComfyUI Quality Speed City96 GGUF-ORG: https://youtu.be/DbOAjiPSVus Flux.2 Dev Review ComfyUI Setup: https://youtu.be/MoAwonm53hQ Qwen Image LoRA Relighting ComfyUI: https://youtu.be/qjgyws9bFzQ AI Upscale Waifu2x Guide: https://youtu.be/H0llkcK5f78 Qwen Skin Fixer ComfyUI LoRA: https://youtu.be/NvAKDCU_Mn4 Qwen InPainting ComfyUI Precise Edits: https://youtu.be/koZj1nl3TLQ Qwen Image Edit ComfyUI Workflow: https://youtu.be/KSpIx63fBHE Qwen Image Edit ComfyUI Update: https://youtu.be/rXQh1dHZSAo ComfyUI Custom Templates Workflows: https://youtu.be/WqYbFeo59BU [TIMESTAMPS] 00:00 Introduction to Z-Image Turbo ControlNet 00:27 Getting Started with the ComfyUI Workflow 00:57 Loading the ControlNet Model in ComfyUI 01:32 Updating ComfyUI for ControlNet Node 02:14 Downloading the Z-Image Turbo ControlNet Model 02:37 Different ControlNet Preprocessors (Depth, Pose, Canny) 03:01 Using the All-in-One Auxiliary Preprocessor 03:56 Performance Comparison: Z-Image Turbo with vs. without ControlNet 04:24 Detailed Speed Test Results Thank you for watching! [TAGS] comfyui, Sharvin, Code Crafters Corner, CodeCraftersCorner, Z-Image Turbo ControlNet, ComfyUI workflow, Stable Diffusion, AI art generation, ControlNet tutorial, Image generation, Text to image, ComfyUI update, Union ControlNet, Depth ControlNet, Canny ControlNet, DWPose, AI image speed test, ComfyUI performance, AI workflow [HASHTAGS] #StableDiffusion #ComfyUI #codecrafterscorner #ComfyUI #ControlNet #ZImageTurbo #AIArt #StableDiffusion