Z-image
Officially listedAn AI image generation platform built for speed and bilingual text rendering.
Z-image
Z-image is an efficient multimedia creation platform that aggregates cutting-edge open-source AI models, standing out for its extreme generation speed and excellent Chinese-English bilingual text rendering. Backed by enterprise-grade compute, it provides creators, designers, and marketers with an end-to-end image and video generation pipeline, from poster design to avatar broadcasting.
Core capabilities
- Ultra-fast image generation: Powered by the Z-Image-Turbo architecture, it produces high-quality images in sub-second time, ending long waits.
- Precise bilingual typography: Natively renders Chinese and English characters accurately inside images, solving the industry-wide pain point of garbled AI-generated text.
- Video and motion extensions: Aggregates advanced video models such as Wan 2.7 and Kling 2.6 Pro for one-stop image-to-video, text-to-video, and motion control.
- Advanced layer decomposition: Integrates Qwen image layering technology, splitting generated images into independent RGBA layers for far greater post-editing freedom.
- Professional avatar broadcasting: The built-in "Longcat Avatar" tool makes high-quality AI digital human broadcast videos with ease.
- Low-barrier open-source ecosystem: Core models have open-source versions that run on modest hardware (8GB VRAM minimum), making local deployment and secondary development easy.
Use cases Best for marketing and operations teams that frequently produce text-heavy e-commerce posters and social media images; also great for independent designers who want an efficient local drawing tool at low cost, and AI enthusiasts chasing maximum generation efficiency.
Unique strengths Compared with Midjourney's closed, high-barrier approach, Z-image offers a more cost-effective "plug and play" experience; against FLUX.1, it holds a decisive lead in generation speed and Chinese typography accuracy — currently the most pragmatic, efficient, production-grade AI drawing tool.
Editor's take With its unmatched generation speed and targeted bilingual text rendering, Z-image breaks out of the crowded AI image generation field. It may not be the most artistic, but it is unquestionably the most efficient and practical choice for commercial production. Whether you are a beginner or a professional creator, you will find the thrill of near-instant image output here.
Pricing
### 💰 定价模式：免费增值 / 积分按需付费 **起步价**：免费 #### 主要方案 - **免费版**：免费 - 新用户享有基础免费积分（约生成10张高质量图像），体验标准生成速度 - **入门版**：$7.9/月 - 每月提供500-600积分，支持提示词扩展，享有优先生成队列且无水印 - **专业版**：$19.9/月 - 每月提供2000-3000积分，包含API访问权限、最快生成速度及完整的商业使用许可 - **一次性积分包**：$4.9起 - 适合不规律使用的用户（如$4.9/100积分），积分永久有效 #### 试用/其他信息 单张标准图像生成通常消耗1个积分，使用高级视频模型或特殊功能将消耗更多积分。具体价格及积分消耗策略请参考官网。 — Visit website
FAQ
Is Z-image free?
Z-image offers a free trial allowance; new users receive free credits for experiencing standard generation speed. The platform uses a credit consumption system, and professional users can choose subscriptions starting at $7.9/month or buy credit packs on demand.
What can Z-image be used for?
It rapidly generates high-quality images and videos, precisely renders posters with Chinese and English text, removes image backgrounds and erases objects, and produces AI digital human broadcast videos.
How fast is Z-image's image generation?
Powered by the Z-Image-Turbo model and enterprise-grade H800 GPU compute, Z-image generates high-quality 1024x1024 images in sub-second time (under 1 second), far faster than traditional AI painting models.
Can Z-image generate images with text?
Yes. Its core model has excellent support for rendering Chinese and English text, accurately embedding complex copy and slogans into images — perfect for e-commerce posters and social media graphics.
How does Z-image differ from Midjourney?
Midjourney leans cinematic with extreme artistic aesthetics, but is closed and slower to generate. Z-image prioritizes extreme generation speed, commercial photorealism, and precise Chinese/English typography support, making it better for high-frequency commercial production.
Are the hardware requirements high for the open-source model?
No. The open-source version is very hardware friendly: ordinary consumer GPUs (such as an RTX 3060/4060, with as little as 8GB VRAM) run it smoothly, greatly lowering the barrier to local deployment.