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Z-Image (้€ ็›ธ) is a powerful and highly efficient image generation model with 6B parameters, developed by Alibabaโ€™s Tongyi Lab. It uses a Scalable Single-Stream DiT (S3-DiT) architecture where text, visual semantic tokens, and image VAE tokens are concatenated at the sequence level to serve as a unified input stream, maximizing parameter efficiency. Model Variants:
  • ๐Ÿš€ Z-Image-Turbo โ€“ A distilled version that matches or exceeds leading competitors with only 8 NFEs (Number of Function Evaluations). It offers sub-second inference latency on enterprise-grade H800 GPUs and fits within 16GB VRAM consumer devices.
  • ๐Ÿงฑ Z-Image-Base โ€“ The non-distilled foundation model for community-driven fine-tuning and custom development.
  • โœ๏ธ Z-Image-Edit โ€“ A variant fine-tuned for image editing tasks with impressive instruction-following capabilities.
Model Highlights:
  • Photorealistic Quality: Delivers strong photorealistic image generation while maintaining excellent aesthetic quality
  • Accurate Bilingual Text Rendering: Excels at accurately rendering complex Chinese and English text
  • Prompt Enhancing & Reasoning: Prompt Enhancer empowers the model with reasoning capabilities
  • Sub-second Inference: Achieves fast generation speed on supported hardware
Related Links:
Make sure your ComfyUI is updated.Workflows in this guide can be found in the Workflow Templates. If you canโ€™t find them in the template, your ComfyUI may be outdated.If nodes are missing when loading a workflow, possible reasons:
  1. You are not using the latest ComfyUI version (Nightly version)
  2. Some nodes failed to import at startup

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Z-Image-Turbo text-to-image workflow

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Z-Image-Turbo: Text to Image

An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer, supports English & Chinese. Z-Image-Turbo text-to-image workflow preview

Run on Comfy Cloud

Run this workflow directly on Comfy Cloud

Download Workflow

Download the Z-Image-Turbo text-to-image workflow JSON file
Example output Z-Image-Turbo example output

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Z-Image-Turbo model downloads

qwen_3_4b.safetensors

Text encoder for Z-Image-Turbo.

z_image_turbo_bf16.safetensors

Diffusion model for Z-Image-Turbo.

ae.safetensors

VAE for Z-Image-Turbo.
Z-Image-Turbo Model Storage Location

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Z-Image-Turbo Fun Union ControlNet workflow

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Z-Image-Turbo Fun Union ControlNet

Multi-control ControlNet supporting Canny, HED, Depth, Pose, and MLSD for Z-Image-Turbo. Z-Image-Turbo Fun Union ControlNet workflow preview

Run on Comfy Cloud

Run this workflow directly on Comfy Cloud

Download Workflow

Download the Z-Image-Turbo Fun Union ControlNet workflow JSON file
Input materials Upload this file to the matching LoadImage node:

image_z_image_turbo_fun_union_controlnet_input_image.png

LoadImage node 58 ยท image_z_image_turbo_fun_union_controlnet_input_image.png
image_z_image_turbo_fun_union_controlnet_input_image.png

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Additional model for ControlNet

Z-Image-Turbo-Fun-Controlnet-Union.safetensors

ControlNet model patch for Z-Image-Turbo.
Model Storage Location