Why Z-Image Turbo with ControlNet 2.1 and Qwen VLM?
This combo lets you quickly generate high-quality images with consistent structure and accurate semantics. Z-Image Turbo provides fast, detailed generation, ControlNet 2.1 preserves composition, pose, or layout from reference images, and Qwen VLM analyzes outputs to refine prompts and ensure the result matches your intent. It’s perfect for creators, designers, and dataset developers who need precise, repeatable, and varied visuals.
The workflow JSON is attached below, or you can try it directly on Floyo for free. No setup needed, everything is pre-installed and ready to run.
Key Inputs
Load Reference Image – Input a pose, layout, or structural reference for ControlNet guidance.
Prompt – Text describing the style, scene, or content you want to generate.
Optional Settings – ControlNet mode (DWPose, Depth, Canny, Union), generation steps, resolution, or style adjustments.
Qwen VLM Analysis – Review generated outputs, refine prompts, and ensure semantic accuracy before regenerating.
Z-Image Workflows to Run in the Browser
Z-Image is expanding into a full toolkit for image generation and editing. Run these workflows on Floyo, in the browser, and without the need to do any setup or installs.
Z-Image Turbo - collection
Z-Image Turbo - Text2Image: Available now
Z-Image Turbo - Image2Image: Available now
Z-Image Turbo - Controlnet - Available now