Z Image Turbo

by Alibaba

Text-to-image model by Tongyi-MAI (Alibaba). 6B parameters, S3-DiT architecture with 8-step turbo generation. Uses Qwen 3 4B as text encoder. Apache 2.0.

ImageApache 2.0Released Nov 20256B parameters

Hugging Face repo ↗

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full qualitylightest

Lighter tiers fit smaller GPUs and lose some detail. Start with the heaviest one that loads.

The model

Z Image Turbo

BF1619.3 GB

Three pieces, three separate downloads.

Diffusion modelGoes in diffusion_models/

Generates the image

11.5 GB↓↗

Text encoderGoes in text_encoders/

Turns your prompt into guidance

7.5 GB↓↗

VAEGoes in vae/

Decodes the result into pixels

0.3 GB↓↗

LoRAs (optional)Goes in loras/

No LoRAs indexed for this model.

SamplerKSampler

Copy these values into your KSampler.

Steps8

CFG1

Samplerdpmpp_sde

Schedulerbeta

Native res.1024x1024 (native), up to 2048x2048

Usage notes

GGUF is the lightest way to run this model.

Apache 2.0. Check the official repo for usage terms.

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