Z-Image Turbo Inpainting
Z-Image Turbo Inpainting
controlnet
inpainting
z-image-turbo
0
39
Nodes & Models
UNETLoader
z_image_turbo_bf16.safetensors
CLIPLoader
qwen_3_4b.safetensors
LoadImage
ModelPatchLoader
Z-Image-Turbo-Fun-Controlnet-Union-2.1.safetensors
WorkflowGraphics
ModelSamplingAuraFlow
CLIPTextEncode
VAEEncode
ConditioningZeroOut
ZImageFunControlnet
DifferentialDiffusion
KSampler
VAEDecode
SaveImage
AIO_Preprocessor
AIO_Preprocessor
Z-Image Turbo Inpainting
This workflow is a fast and powerful inpainting pipeline built on Z-Image Turbo, designed for precise edits while preserving the original image structure. It combines depth-aware ControlNet guidance with mask-based inpainting, making it ideal for controlled modifications like face edits, object replacement, or scene refinement.
What this workflow does
This workflow performs high-speed, precision inpainting using the Z-Image Turbo model. It allows you to edit specific parts of an image using a mask while keeping the rest of the image untouched. By combining depth-based guidance with ControlNet, it ensures that all edits follow the original structure and perspective of the image, resulting in natural and consistent outputs.
What makes this workflow special?
Turbo speed – Optimized sampling for very fast generation
Depth-aware editing – Uses DepthAnything V2 to maintain realistic structure
Accurate inpainting – Edits only the masked region with high precision
Seamless blending – Differential diffusion improves transitions and detail consistency
Best Use Cases
Face corrections and enhancements
Changing outfits or accessories
Object removal or replacement
Fixing image defects or unwanted elements
Background edits while preserving perspective
Controlled creative edits without breaking composition
Read more
_1774874350635.png?width=1400&height=620&quality=80&resize=cover)


_1774874350635.png?width=104&height=104&quality=80&resize=cover)
