What is Z-Image Turbo?

Z-Image Turbo is an AI model (prompt to image) available on Artifio.ai through Alibaba. You can run it in our workspace from a single shared wallet and download your outputs.

How much does Z-Image Turbo cost on Artifio?

Z-Image Turbo starts at about $0.005 per generation on Artifio.ai. The exact cost is shown in the workspace before you confirm and can vary with the options you select.

How do I use Z-Image Turbo on Artifio?

Click Generate Now to open the workspace at /create/alibaba-z-image-turbo. Fill in the form fields, review the live cost estimate, and run your generation.

What kind of outputs does Z-Image Turbo produce?

Z-Image Turbo is configured for prompt to image workflows in the image category. See the technical parameters below for supported inputs and options.

Can I try Z-Image Turbo for free?

Sign up free, top up your wallet from $5, and you can run Z-Image Turbo pay-as-you-go without a separate subscription for this model.

Z-Image Turbo — AI Image Generator

Name: Z-Image Turbo
Brand: Artifio
Price: 0.005 USD
Availability: InStock

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Z-Image Turbo — AI Image Generator | Artifio.ai

About Z-Image Turbo

Z-Image Turbo is the distilled speed variant of Z-Image, the 6B-parameter Single-Stream Diffusion Transformer family from Tongyi-MAI, Alibaba's Tongyi lab. Released on November 26, 2025, it was the first member of the family to ship, and it compresses sampling down to 8 function evaluations through few-step distillation with reward post-training. The result is sub-second generation on an H800 datacenter GPU and a footprint that fits inside 16GB of consumer VRAM, unusual territory for a model that trades punches with 20B-plus systems.

By December 8, 2025 it ranked first among open-source models on the Artificial Analysis text-to-image leaderboard. On Artifio it is one of the fastest image models in the catalogue, running pay-per-generation from the same wallet as everything else.

Features

6B-parameter S3-DiT architecture distilled to 8 NFEs (function evaluations) per image
Sub-second inference latency on H800 GPUs and compatibility with 16GB-VRAM consumer cards
Photorealistic generation with strong aesthetic quality, the variant's stated specialty
Bilingual text rendering in English and Chinese
Apache 2.0 weights with official support merged into the Diffusers library
Part of a four-variant family alongside Z-Image (base), Z-Image-Edit, and Z-Image-Omni-Base

What people use it for

Rapid iteration: cycling through prompt variations at interactive speed before committing to a slower model
High-volume asset generation where per-image latency and cost dominate
Photorealistic portraits, which the launch material highlights as a particular strength
Quick bilingual signage, poster, and product mockups with embedded text

Reported strengths

Ranked first among open-source models on the Artificial Analysis text-to-image Elo leaderboard within two weeks of release
The technical report describes performance comparable to leading proprietary systems while using the smallest parameter count in the leaderboard's top tier
8-step sampling makes it dramatically cheaper to run than 28-to-50-step base models of similar quality
Open Apache 2.0 license, with weights small enough for ordinary gaming GPUs

Reported limitations

Distillation lowers output diversity; the family's own comparison table marks Turbo as low-diversity next to the base Z-Image
No classifier-free guidance and no negative prompting support, so prompt-level control is coarser than on the base checkpoint
Not intended for fine-tuning; Tongyi-MAI points custom-training work at the undistilled Z-Image instead

Sources

Tongyi-MAI/Z-Image-Turbo model card (Hugging Face (Tongyi-MAI))
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer (arXiv)
Tongyi-MAI/Z-Image repository (GitHub (Tongyi-MAI))