Z_Image_Turbo Full Masterclass | ControlNet, Masking, Upscaling, AIO & Low-VRAM Workflows in ComfyUI

Z_Image_Turbo has gained attention recently for its strong photorealistic output and flexible workflow support. In this video, I break down how the model works, how it’s trained, and how to set it up inside ComfyUI The video covers: The Z_Image training process and licensing details Installing and configuring the model in ComfyUI Using the AIO, FP8, and GGUF variants for low-VRAM optimization Hands-on workflows for Text-to-Image, Image-to-Image, Upscaling, Masking, and ControlNet Example generations and the limitations of the model If you're evaluating this model or integrating it into your ComfyUI workflow, this walkthrough should give you a clear understanding of how to use it effectively. So sit back and explore what this photorealistic model can do. Links - Z_Image Paper - https://arxiv.org/pdf/2511.22699 Z_Image _Turbo Diffusion Model + Text Encoder + VAE - https://huggingface.co/Comfy-Org/z_im... Z_Image fp8 Model - https://civitai.com/models/2169712?mo... Z_Image AIO Model - https://huggingface.co/SeeSee21/Z-Ima... Z_Image GGUF Model - https://huggingface.co/jayn7/Z-Image-... Qwen3-4B GGUF Model - https://huggingface.co/Qwen/Qwen3-4B-... Z_Image ControlNet - https://huggingface.co/alibaba-pai/Z-... Time Stamps - 00:00:00 Intro 00:01:09 Z_Image Training Process + Licensing 00:27:39 Installation Guide in ComfyUI 00:30:49 Low VRAM Workflow Optimization 00:39:47 Upscaling + I2I + Masking + ControlNet Workflows 00:50:07 Text + Style Testing 00:53:46 Tutorial in ComfyUI 01:05:51 Limitations + Conclusion #comfyui #photorealism #generativeai #artificialintelligence #z_image #testing #alibaba #aiart #diffusion #imagegeneration #imageediting #design #tutorial #guide