AllImageAI

Z-Image Base AI Image Generator

The diverse, controllable Z-Image foundation model for deliberate final renders and fine prompt control.

Developed by Tongyi MAI (Alibaba)ActiveVerified August 25, 2026

Model Version

Mode

Preview mode: placeholder output, no credits charged

Output

Z-Image Base

The diverse, controllable Z-Image foundation model for deliberate final renders and fine prompt control.

BalancedUp to 2K1:116:99:164:3

Try one of these prompts

Developer
Tongyi MAI (Alibaba)
Model
Z-Image Base
Status
Active
Max Output
2K
Input
Text
Released
January 27, 2026
Last Verified
August 25, 2026

What Is Z-Image Base?

Z-Image Base is the full foundation model behind the faster Turbo edition. It trades speed for richer variation, stronger negative-prompt control and a wider search space across people, products, layouts and visual styles.

Z-Image Model Versions

Z-Image Base

Negative prompt · 2K

From 1 Credits

Z-Image Turbo

1 credit · 1K

From 1 Credits

Open this version →

Z-Image Base

The diverse, controllable Z-Image foundation model for deliberate final renders and fine prompt control.

  • Resolutions: 1K / 2K
  • Reference images: not supported
  • Modes: Text to Image, Typography
  • Speed: Balanced

Z-Image Turbo

Fast one-credit drafts with strong photographic composition.

  • Resolutions: 1K
  • Reference images: up to 1
  • Modes: Text to Image, Image to Image
  • Speed: Fastest

What Is Z-Image Base Best For?

  • Diverse concept exploration
  • Bilingual display text
  • Negative-prompt control
  • 2K final renders

How to Use Z-Image Base

  1. Describe subject, layout and lighting.
  2. Add exclusions in Negative Prompt.
  3. Compare seeds at 1K.
  4. Render the selected direction at 2K.

Z-Image Base Settings Explained

Negative Prompt

Exclude unwanted objects, text, blur or rendering artefacts.

Steps

Start at 28; use more only when the composition or lettering needs another refinement pass.

The panel above shows only the parameters Z-Image Base actually supports. Switch versions and unsupported controls disappear rather than sitting there doing nothing.

Z-Image Base Prompt Examples

Bilingual poster

Editorial travel poster with the exact title “夜航 NIGHT FLIGHT”, deep navy sky, silver aircraft silhouette, restrained modern typography

Portrait study

Natural-light portrait in a quiet bookshop, realistic skin texture, muted film palette, 85mm lens

Z-Image Base Test Results

Testing in progress

Every model runs the same eight-category prompt set — portrait, product, poster text, anime character, interior, multi-reference, image editing and character consistency — recording generation time, success rate, text accuracy and identity retention. That run has not finished for Z-Image Base, so this page shows no scores. We do not publish numbers we have not measured.

Z-Image Base Limitations

  • Slower than Z-Image Turbo
  • Text-to-image only on this exact route
  • Higher step counts increase latency

Z-Image Base Pricing and Credits

Credits scale with resolution and image count. The Generate button always shows what this run costs.

1K

1 credits / image

2K

2 credits / image

Failed generations cost 0 credits.

Commercial Use and Image Rights

Z-Image Base is released under Apache 2.0; generated use remains subject to applicable law and site terms.

  • Model used: Z-Image Base
  • Model developer: Tongyi MAI (Alibaba)
  • The inference route is managed internally and may change without changing the selected model
  • Uploads are sent only to the configured inference service needed to complete the generation
  • You can delete any generation from your history at any time

Frequently Asked Questions

How is Base different from Turbo?+

Base is slower but more diverse and exposes CFG guidance plus negative prompts; Turbo is the one-credit drafting lane.

Can it edit an uploaded image?+

Not on this exact Base endpoint. Use Z-Image Turbo or another editing model for image-to-image work.

Model Updates and Changelog

  • 2026-08-25 —— Added the exact Z-Image Base text-to-image route with megapixel-aware credits.