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[Workflow] Z-Image Turbo: ControlNet Image to Image

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Z-Image Turbo_ ControlNet Image to Image.json

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Type
Workflows
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196

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Published

Jun 23, 2026

Base Model

ZImageTurbo

Hash
AutoV2
7608F36742
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Followers - 498

498

Likes - 2371

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License:

Apache 2.0
ChatGPT Image Jul 16, 2026, 08_14_19 PM.png

RUN THIS WORKFLOW NOW ON FLOYO!
HOW IT WORKS

Step 1. Upload a reference image The image whose structure you want to keep, like a posed figure, a sketch, a clear layout, or a scene with strong depth. Works great with: posed figures · sketches · clear compositions · architectural shots

Step 2. Pick a control type Match the preprocessor to what you want to hold: Pose for body position, Canny for hard edges, HED for soft outlines, Depth for 3D layout, MLSD for straight-line geometry. The default is Pose.

Step 3. Write your prompt Describe the new content and style. The structure stays put, and the prompt decides what fills it, like "realistic photo, cyberpunk character, neon city."

Step 4. Hit run and download Z-Image Turbo generates a new image that follows the reference's structure while the prompt sets the look. Ready for: Photoshop · Figma · Canva · any editor

First time? Leave every setting as-is. The defaults (Pose control · strength 1 · 9 steps · 1024px) are the right starting point for almost everyone.