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Z-Image

Z-Image is a cost-effective AI image generator from Alibaba Tongyi Lab, featuring ultra-fast inference and budget-friendly pricing. Specially optimized for Asian portraits with more natural facial features and skin tones.

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Showcase

3x3 九宫格拼贴画,带有粗白色边框线。 每格中显示的是人像,人像是日本动漫海贼王中的路飞,9 种不同的摄像角度

Showcase

九宫格构图,带有粗白色边框线,同一个写实风格的亚洲成年女性人像,保持拍摄方向为正面平视视角,人物的表情与姿态保持一致,画面统一为柔和的自然光,背景是干净的浅灰色纯色背景,9 个格子分别对应 9 种不同的发型:1. 黑长直中分长发、2. 羊毛卷齐肩短发、3. 高扎元气马尾辫、4. 空气刘海齐耳短发、5. 法式慵懒大波浪长发、6. 利落干净的超短发、7. 温柔低盘发、8. 俏皮双麻花辫、9. 层次感碎发中长发,整体画面清晰高清,光影自然柔和,无多余元素

Showcase

超现实主义 3x3 九宫格拼贴画,带有粗白色边框线。 背景展示了[穿着西装的小鸟]的不同可爱姿势、角度和景别的照片(打哈欠、睡觉、玩耍、歪头、爪子)。中间网格隐藏。 顶层覆盖 了一只巨大的、超写实的、全身3D剪纸风格的同一只[穿着西装的小鸟],正俏皮地从网格中向前跳Et。 所有元素清晰锐利,深景深f/16(全焦段清晰),无背景虚化,明亮的柔光箱布光以突显毛发质感,触感真实的毛绒细节,强烈的3D 跃出屏幕效果。

Showcase

超现实主义 3x4 十二宫格拼贴画,带有粗白色边框线。 背景展示了[穿着西装的小狗]的不同可爱姿势、角度和景别的照片(打哈欠、睡觉、玩耍、歪头、爪子)。中间网格隐藏。 顶层覆盖 了一只巨大的、超写实的、全身3D剪纸风格的同一只[穿着西装的小狗],正俏皮地从网格中向前跳Et。 所有元素清晰锐利,深景深f/16(全焦段清晰),无背景虚化,明亮的柔光箱布光以突显毛发质感,触感真实的毛绒细节,强烈的3D 跃出屏幕效果。

Showcase

一位迷人的赛车女郎(亚洲面孔)站在高性能 F1 赛车旁,下身穿泳裤,上身穿低胸外套,外套上印刷着“sinancode.com”,真实的皮肤纹理,错综复杂的细节,景深效果,2k 分辨率,电影级布光,索尼 A7R IV 拍摄,85mm 镜头。

Showcase

一位迷人的赛车女郎(亚洲面孔)站在高性能 F1 赛车旁,下身穿泳裤,上身穿低胸外套,外套上印刷着“sinancode.com”,真实的皮肤纹理,错综复杂的细节,景深效果,2k 分辨率,电影级布光,索尼 A7R IV 拍摄,85mm 镜头。

What is Z-Image

Z-Image is a 6B-parameter cost-effective AI image generator from Alibaba Tongyi Lab, designed for users who prioritize efficiency and budget control. Built on the innovative S³-DiT architecture, it generates high-quality images with just 8 sampling steps, at only 1/3 the API cost of competitors like Flux. Trained on extensive Asian face datasets, Z-Image excels at generating Asian portraits with more precise facial contours, natural skin tones, and well-proportioned features. The open-source Turbo version is compatible with Hugging Face, ComfyUI, and Alibaba Cloud ModelStudio API services.

Version Options

Free Version

Deployed using open-source models from Hugging Face, ideal for exploring model capabilities. Service may be unstable due to shared resources, with slower generation speed and basic parameter options only.

Standard Version

Deployed via Alibaba Cloud API, providing stable and reliable generation services. Supports more parameter adjustments, faster generation speed, suitable for production use.

Why Choose Z-Image

Ultra-Low Cost

API pricing at just 1/3 of Flux, Midjourney and other mainstream models. Same budget generates 3x more images - the best value for bulk image generation

Lightning-Fast Output

Turbo version achieves sub-second inference with just 8 sampling steps. 2.3 seconds per image on RTX 4090, 2-3x faster than Flux Pro

Asian Portrait Optimization

Training data specifically optimized for Asian faces. Generated Asian portraits feature more precise facial contours, natural skin tones, and balanced proportions - no more uncanny AI look

Bilingual Text Rendering

Excels at rendering mixed Chinese-English text and complex layouts, solving the common text distortion issue of traditional AI image generators

Low Hardware Threshold

Runs on 16GB VRAM consumer GPUs like RTX 3060, no high-end professional hardware required

Open-Source Commercial Use

Apache 2.0 licensed, free for commercial use and secondary development with no additional licensing fees

Z-Image Application Scenarios

Asian Portrait Photography

Generate natural, realistic Asian portraits for social media avatars, ID photo mockups, and character assets with facial details rivaling real photography

E-Commerce Bulk Generation

Low-cost bulk generation of product images and model photos. Same budget produces 3x more assets - perfect for sellers needing high-volume imagery

Video Thumbnails

Quickly generate eye-catching video thumbnails with fast output and low cost, ideal for daily content creators with high-frequency production needs

Ad Creative Testing

Rapidly produce multiple ad creative versions at low cost for A/B testing, then refine the winning concept

Social Media Management

Bulk generate images for blogs, Instagram posts, Twitter graphics and more, reducing daily content production costs

Personal Creative Practice

Low barrier entry to AI art, perfect for budget-conscious individuals learning and exploring AI image generation

How to Use Z-Image

Usage Steps

1

Environment Preparation

Prepare a GPU with 16GB+ VRAM, install dependencies including PyTorch, Transformers, and the latest version of Diffusers

2

Obtain Weights

Download Z-Image-Turbo weights from the Hugging Face repository (tongyi-mai/z-image-turbo) or ModelScope platform

3

Model Inference

Load the model via the Diffusers library, input prompts with customized parameters to generate images, enable Flash Attention for acceleration

4

Workflow Integration

Import Z-Image-Turbo into ComfyUI and combine with plugins like ControlNet or LoRA for precise image control

5

API Access

Call Z-Image's API through Alibaba Cloud ModelStudio for cloud-based generation without local deployment

Simple Code Example

Use Python to quickly generate images: load the ZImagePipeline with model weights, input custom prompts, set sampling steps and image size, then generate and save the output. Adjust the random seed to get different results, and refer to official examples for detailed parameter configuration.

Try Z-Image Now

Low cost, fast output, natural Asian portraits — pay 1/3 the price, get 3x the output

Access Z-Image Online Generator

Z-Image FAQs

Which versions of Z-Image are currently available?

Only Z-Image-Turbo (distilled high-speed version) is open-source and downloadable now. Z-Image-Base (base version) and Z-Image-Edit (editing version) are pending release, with official access channels to be announced later.

What is the minimum hardware requirement for Z-Image?

Z-Image-Turbo runs smoothly on 16GB VRAM GPUs, and is also compatible with lower-spec consumer GPUs like RTX 3060 (6GB VRAM) with minor speed reductions, catering to users with different hardware conditions.

Are there limitations to Z-Image's text rendering capability?

Z-Image handles regular Chinese-English text and complex layouts accurately, but may have flaws in extreme scenarios like artistic fonts or special typography. Post-processing with professional design tools is recommended for such cases.

Does Z-Image support image-to-image and image editing functions?

The current Turbo version focuses on text-to-image generation. Dedicated image-to-image and editing features will be provided by the upcoming Z-Image-Edit, which can modify backgrounds, poses, and text while maintaining identity and lighting consistency.

What is Z-Image's open-source license, and can it be used for commercial purposes?

Z-Image adopts the Apache 2.0 open-source license, allowing commercial use and secondary development. Developers can fine-tune the Base version for customization, provided they comply with relevant open-source agreements.