# Z-Image

Canonical page: https://fuser.studio/models/z-image

Z-Image in Fuser generates images from text and references at up to 2K with Alibaba's Z-Image Turbo, including legible English and Chinese text.

## Specs

| Spec | Value |
| --- | --- |
| Inputs | Prompt (text), Image Prompt (image) |
| Output | image |
| Resolution | 1K, 2K |
| Cost | 7–44 credits per run |

Create photorealistic images, product concepts, and English–Chinese typography with Z-Image Turbo—connected to your creative workflow in Fuser.

Creator: Alibaba Tongyi-MAI

[Try Z-Image](https://app.fuser.studio)

## How Z-Image works

Turn a product idea into an image on your canvas: write a prompt, choose your settings, and review the result.

### Describe your image

Describe your subject and lighting. Put exact text like "SOLSTICE" in quotes.

### Set up your generation

Choose your shape, resolution, and steps: here, Portrait 4:3, 1K, and 8.

### Generate and review

Run Z-Image, review the details, and refine your prompt for the next version.

## What Z-Image is good at

Explore realistic lighting, tactile materials, and short English or Chinese headlines. These examples were generated with Z-Image Turbo in Fuser using eight steps.

### English and Chinese typography

Build posters and labels around short English or Chinese phrases. Quote the exact text and review the lettering.

### Scenes shaped by light

Describe room proportions, furniture, surfaces, and sunlight to explore architectural compositions on your canvas.

### Product concepts and materials

Combine woven fabric, translucent rubber, leather, and stone to explore a product concept before making a prototype.

### Photographic portraits

Explore wardrobe, color, and lighting with natural-looking portraits and tactile fabric details.

## Made with Z-Image

Explore a wider range of Z-Image Turbo outputs made in Fuser: cinematic motion, automotive concepts, paper sculpture, and character design.

### Silk in motion: a cinematic dance study

### A red coupe beneath sandstone cliffs

### A botanical study in folded paper

### A felt forest character by lantern light

## What people build with Z-Image

Use Z-Image to explore visual directions for brand work, editorial projects, and design concepts.

### Fashion and editorial studies

Explore wardrobe, backgrounds, and lighting before a shoot. Compare prompt variations side by side to choose a visual direction.

### Bilingual packaging and posters

Mock up short English and Chinese headlines on posters, labels, and packaging. Check spelling and layout, then refine the selected concept.

### Product concept development

Explore consumer products across different materials, shapes, and color palettes. Use the results as visual references for further design work.

### Interior mood boards

Generate rooms from a written brief, or connect a reference image to explore variations. Adjust Image Strength to balance the source image with your prompt.

### Social campaign testing

Create a consistent set of campaign concepts by reusing a visual brief and changing the subject, composition, or color palette.

## Z-Image questions

### What's the difference between the standard and LoRA variants?

Z-Image is Alibaba Tongyi Lab’s image model family. Fuser’s Z-Image node runs the Turbo models, including text-to-image, image-to-image, and their LoRA variants. Turbo is a distilled model designed for generation in a small number of steps.

### How do I use LoRAs in Fuser?

Connect a Text node containing a compatible .safetensors URL to the LoRA Weights input. The Z-Image node accepts up to three adapters and chooses the LoRA endpoint automatically. Fuser divides the adapter scale equally across the supplied LoRAs; this node does not expose individual weight sliders.

### When should I use image-to-image?

Connect a source image when you want to explore a variation on an existing composition. The node switches to an image-to-image endpoint automatically. In Fuser, a higher Image Strength gives the source image more influence; a lower value favors the text prompt. Start near the middle and adjust after reviewing the result.

### Which image sizes and settings can I choose?

Fuser offers square, landscape, and portrait shapes with 1K or 2K resolution options. The Turbo node supports one to eight steps, with eight as the default. You can also set a seed, choose the number of results, and select JPEG, PNG, or WebP output.

### How can I improve text in generated images?

Keep the wording concise, put the exact phrase in quotation marks, and describe where it should appear and how large it should be. Z-Image supports English and Chinese text rendering, but generated lettering can still need another attempt or a final design edit.

### Will every image finish in under a second?

No. The model team reports sub-second inference on specific enterprise GPU hardware. End-to-end generation in Fuser also includes provider queues, processing, and media delivery. Resolution and workload can affect how long a result takes.

## Try Z-Image on Fuser

Bring your next visual idea onto the canvas. Write a prompt, connect your references, and explore Z-Image Turbo in Fuser.

[Try Z-Image](https://app.fuser.studio)

## Recipes using Z-Image

- [GAN-ify an Image](https://fuser.studio/recipes/gan-ify-an-image.md): Upload an image to create a GAN-ified image with a remade aesthetic.

## Related models

- [Skin Enhancer](https://fuser.studio/models/skin-enhancer.md)
- [FLUX.3 Image](https://fuser.studio/models/flux-3-image.md)
- [Gemini Image](https://fuser.studio/models/gemini-image.md)
- [GPT Image](https://fuser.studio/models/gpt-image.md)
- [Seedream](https://fuser.studio/models/seedream.md)
- [FLUX.2](https://fuser.studio/models/flux-2.md)

Node reference: [Z-Image docs](https://docs.fuser.studio/docs/nodes/image/z-image.md)