The base model of the image generation AI 'Z-Image' has finally arrived. It's 'strong at illustrations,' 'produces a variety of faces and compositions,' and 'is ideal for additional learning.'

Tongyi-MAI, Alibaba's AI development team, released the image generation AI ' Z-Image ' on January 28, 2026. Z-Image is the base model of
1/6 We are excited to introduce Z-Image: the foundation model of the ⚡️- Image family, engineered for good quality, robust generative diversity, broad stylistic coverage, and precise prompt adherence.
— Tongyi Lab (@Ali_TongyiLab) January 27, 2026
While Z-Image-Turbo is built for speed, Z-Image is a full-capacity,… pic.twitter.com/36qpUoTAeU
The Z-Image series is an image generation AI series consisting of 'Z-Image,' 'Z-Image-Turbo,' 'Z-Image-Omni-Base,' and 'Z-Image-Edit.' Of these, only Z-Image-Turbo was released in November 2025.
Alibaba releases 'Z-Image,' a high-speed, high-quality image generation AI - GIGAZINE

Z-Image-Turbo is a model developed using the procedure of 'fine-tuning Z-Image-Omni-Base to create a Z-Image, distilling the Z-Image, and then applying reinforcement learning with human feedback.' While it has the characteristic of 'high-speed and high-quality image generation,' it also has the disadvantage of 'low diversity in output images, making it unsuitable for additional learning and creating unique models.' The Z-Image released this time is a pre-distillation model, characterized by high diversity and ease of fine-tuning.

Below is a comparison table of Z-Image and Z-Image-Turbo. Z-Image boasts features such as 'easy fine tuning,' 'negative prompt support,' and 'high versatility.' However, the number of steps required for the generation process increases from 28 to 50, and the overall image quality drops one level from 'Very High' to 'High.'

Below are some examples of Z-Image. While the specs suggest that the quality is lower than Z-Image-Turbo, it still produces high-quality images.

The quality has improved significantly, especially for illustrative images.

Z-Image-Turbo had problems with generating the same composition even when the seed value was changed, and generating images containing multiple people with the same faces, but Z-Image makes it possible to generate diverse images.

It also supports negative prompts, allowing you to explicitly specify elements you do not want to include in the image.

The Z-Image model data is available at the following link:
Tongyi-MAI/Z-Image · Hugging Face
https://huggingface.co/Tongyi-MAI/Z-Image

ComfyUI also already supports image generation using Z-Image.
Z-Image is natively supported in ComfyUI on Day 0
— ComfyUI (@ComfyUI) January 27, 2026
The non-distilled Z-Image base model is a true foundation model — ideal for fine-tuning, customization, and community-driven development.
- Diverse aesthetics: from photorealism to expressive styles
- High generation diversity:… pic.twitter.com/luR6gcVgt7
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