New Release

Unleash Efficient Image Generation with Z-Image-Turbo

Name: Achieve Efficient Image Generation with Z-Image-Turbo
Author: Z-Image-Turbo

Generate photorealistic images in sub-second speeds using only 8 NFEs, all while running comfortably on consumer-grade hardware.

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Runs on 16GB VRAM

Sub-Second Latency

Photorealistic Quality

Z-Image-Turbo generating a photorealistic image

Key Features for Efficient Image Generation

Z-Image-Turbo uniquely combines speed, quality, and accessibility for unparalleled efficiency.

Ultra-Fast Generation

Generates high-fidelity images using only 8 NFEs, achieving sub-second inference latency on enterprise H800 GPUs. Experience the future of efficient image generation.

Consumer Hardware Compatible

Run professional-grade image generation on your desktop. Z-Image-Turbo requires less than 16GB VRAM, eliminating the need for expensive data-center infrastructure.

Scalable Single-Stream Architecture

Leveraging S3-DiT architecture, Z-Image-Turbo maximizes parameter efficiency, achieving state-of-the-art image quality with only 6B parameters, outperforming models with significantly more parameters.

Generate Images Efficiently in Three Simple Steps

Experience the ease and speed of Z-Image-Turbo.

Enter Your Prompt

Describe the image you want to create. Z-Image-Turbo supports complex prompts in both English and Chinese.

Generate Instantly

With only 8 NFEs, your image will be generated within seconds, showcasing unparalleled speed and efficiency.

Download and Use

Download your high-quality, photorealistic image and use it for any purpose.

Frequently Asked Questions about Efficient Image Generation with Z-Image-Turbo

Get the answers you need to start generating images efficiently.

Z-Image-Turbo utilizes a Scalable Single-Stream DiT (S3-DiT) architecture and a novel Decoupled-DMD distillation algorithm to achieve photorealistic image generation in just 8 NFEs, significantly reducing computational costs.

Z-Image-Turbo is designed to run on consumer devices with at least 16GB of VRAM. This accessibility sets it apart from other high-quality image generation models that require data-center infrastructure.

Z-Image-Turbo uses only 6B parameters while achieving state-of-the-art results among open-source models. Models like FLUX.2 and Qwen-Image have significantly more parameters (20B+), making Z-Image-Turbo more practical for everyday use.

No, Z-Image-Turbo maintains competitive performance according to Elo-based Human Preference Evaluation on Alibaba AI Arena. It uses Decoupled-DMD distillation and DMDR post-training to enhance image quality even with few steps.