What Is Z-Image?
Z-Image is powered by the full Z-Image Base model by Tongyi MAI. It is the recommended default for richer variation, stronger negative-prompt control and a wider creative search space; Z-Image Turbo remains available as the faster drafting option.
Z-Image Model Versions
Z-Image
Base · Negative prompt · 2K
From 1 Credits
Z-Image Turbo
Turbo · 1 credit · 1K
From 1 Credits
Z-Image
The full Z-Image Base model for deliberate final renders, diverse concepts 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 Best For?
- Diverse concept exploration
- Bilingual display text
- Negative-prompt control
- 2K final renders
How to Use Z-Image
- Leave Z-Image selected for the full Base model.
- Describe subject, layout and lighting.
- Add exclusions in Negative Prompt.
- Compare seeds at 1K, then render the selected direction at 2K.
Z-Image 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 actually supports. Switch versions and unsupported controls disappear rather than sitting there doing nothing.
Z-Image 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 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, so this page shows no scores. We do not publish numbers we have not measured.
Z-Image Limitations
- Slower than Z-Image Turbo
- Text-to-image only on this exact route
- Higher step counts increase latency
Z-Image Pricing and Credits
Credits scale with resolution and image count. The Generate button always shows what this run costs.
1K
1 credits / image
2K
3 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
- 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.
Release History and Sources
January 27, 2026 · Open weights released
This date applies to the event shown. Later API access, weights and availability on All Image AI may have different dates.
Explore this event on the image model timeline →
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