Z-Image-Turbo/Base-AIO-Workflow

Official ComfyUI ControlNet workflow for Z-Image-Turbo-AIO photorealistic generation with precise control guidance.FEATURES:- ControlNet Union support - 5 control types in one model- Canny (edge detection), HED (soft edges), Depth (3D structure)- Pose (human figures), MLSD (architecture/lines)- Megapixel scaling - maintains aspect ratio automatically- Automatic metadata saving - easy CivitAI uploads- Works with both FP8 (10GB) and BF16 (20GB) versions- 8GB VRAM friendly - tested on RTX 4060REQUIREMENTS:- ComfyUI 3.77+ (ModelPatchLoader compatibility)- Z-Image-Turbo-AIO model (FP8 or BF16)- Z-Image-Turbo-Fun-Controlnet-Union (~2.5GB)- Save ControlNet in: ComfyUI/models/model_patches/- Custom nodes: rgthree-comfy, comfyui_image_metadata_extension, comfyui_controlnet_auxSETTINGS:Steps: 9 • CFG: 1.0 • Sampler: res_multistep or euler_ancestralScheduler: simple or beta • ControlNet Strength: 0.6-0.8Megapixels: 1.0 - 2.08 MP recommendedPERFECT FOR:Sketch to photo conversion, pose transfer, scene composition control, architectural visualization, edge-guided generation, depth-based layouts.Generation time: 3-5 seconds @ 1920×1088 on RTX 4060 8GB.All nodes pre-configured and connected. Just upload input image, choose preprocessor type, write prompt, and generate!

zImageTurboBaseAIO_zitAIOControl.zip

ZIT-AIO-Control

ZIB-AIO

ZIT-AIO-Anime

ZIT-AIO-DepthV3

ZIT-AIO-SeedVR2

ZIT-AIO-Variance

ZIT-AIO-v2.0

ZIT-AIO-v1.0

Files with SHA256: b4611820e62dfac6e29ddd58d15357578ea4610d82bc1dbc9b14143f9b3e351d