Now Officially Released and Available for Public UseMay 2025

Z-Image AI Image Generator

Built by Tongyi-MAI, Z-Image is an open-source 6B foundational image model crafted for prompt alignment, versatile visual output, and targeted downstream variants like Turbo and Edit. Use this browser-based tool to execute text-to-image and streamlined single-reference image-to-image pipelines entirely within your web tab.

Start Using Z-Image

Streamline text-to-image and simplified single-reference image-to-image workflows by creating high-quality visuals with Z-Image directly on this platform.

Begin with a detailed prompt, upload a single reference image as needed, and polish your results with quick, targeted adjustments while keeping your prompt clear and precisely outlined.

Describe the subject and visual goal

Write a detailed prompt that details your core subject, camera angle, lighting configuration, composition, and any mandatory text for your finished image.

Upload a Single Reference Image When Required

To lock in a specific mood, product silhouette, or overall layout vibe, upload a single reference image and steer your generation output with clear, conversational prompts.

Generate Quick Variations and Polish Results

Produce images in your preferred aspect ratio, compare multiple generated options, and adjust your prompt until the composition and any included text match your vision exactly.

Key Advantages of Z-Image

What Makes Z-Image Stand Out as a High-Quality Base Image Model

Z-Image is an open-source 6B foundational model known for consistent prompt alignment, a robust lineup of variant models, and fully supported local deployment workflows.

Open-Source 6B Foundational Model

Z-Image serves as the core base model for the full product family, allowing developers and creators to examine, fine-tune, and deploy the official upstream build without being locked into a closed, hosted-only platform.

The official upstream Apache-2.0 release is fully public and accessible via GitHub and Hugging Face.

It acts as the foundation for downstream family variants like Z-Image-Turbo and Z-Image-Edit.

Pick this model when direct access to model weights and local deployment options are your top priorities, rather than only relying on one-click hosted generation.

Precise Prompt and Negative-prompt Control for Transparent, Predictable Outputs

Official documentation highlights robust prompt alignment and effective negative prompt practices, making sure your prompt adjustments are clearly reflected in the final generated output.

This model performs best when you clearly outline your subject, composition, desired style, and elements you want to omit from the finished image.

This degree of control is particularly valuable for poster design, product photography, and layout-sensitive prompt projects.

Iterating and comparing generated options is far simpler when the core prompt remains consistent across every generation run.

Single Base Model for Versatile Visual Styles and Applications

As the non-distilled base model, Z-Image allows you to shift smoothly between realistic photography, polished poster layouts, and more stylized creative directions without jumping between different model families.

It supports transitions between realistic, poster-style, and fully stylized creative directions without locking you into a single aesthetic too early in your creative process.

It’s perfect for testing different subject identities, poses, compositions, and art direction adjustments using the same core prompt base model.

This versatility is extremely useful during the initial brainstorming phase, before you settle on a single final creative direction.

Full Local Runtime Support and ComfyUI Compatibility

Z-Image is already fully compatible with diffusers-based pipelines, local inference tools, ComfyUI utility apps, and community workflow bundles.

Proven local inference workflows and community-built tools are already accessible, rather than only relying on hosted demo versions.

You can smoothly integrate it with LoRA, ControlNet, and a wide array of custom workflow tests.

This degree of support is critical if local deployment is a key factor in your model selection process.

Top Use Cases

Ideal Applications for Z-Image

Crafted for prompt-guided image generation, poster layout design, product-centric visuals, and single-reference refinement tasks directly on this platform.

Prompt-Driven Product & Marketing Visuals

Produce sharp product photography, professional packaging mockups, targeted ad concepts, and landing page hero visuals when you need precise framing, consistent material rendering, and polished studio lighting.

Poster & Typography-Focused Creative Concepts

Use Z-Image for event posters, social media graphics, and layout-focused creative projects where precise prompt control and clear, legible text are non-negotiable.

Reference-based image refinement

Polish a single reference image to tweak style, framing, or overall visual tone without having to rebuild your core concept from the ground up.

Self-Hosted & Workflow-Focused Deployment

Choose Z-Image if you plan to move the same model to ComfyUI, local inference runtimes, or a fully customized image generation pipeline down the line.

Proven Prompt Prompt Templates & Real-World Examples

Writing Strong Z-Image prompts: Practical Templates & Real-World Examples

Every example card highlights a proven prompt prompt pattern, a real-world Z-Image generated output, and the precise writing choices that led to its success. Click to expand each card to view the full prompt, breakdown of why it performs well, and tips for crafting your own prompts using these examples as a guide.

Product visual

Top-Tier prompt Alignment Benchmarks

Perfect for crisp product visuals with precise commercial lighting control.

A premium glass skincare bottle resting on a light beige stone pedestal, lit with soft studio lighting.

Premium skincare product hero image

Proven industry-leading Prompt best-practice generation framework

[product] + [camera angle] + [surface/background] + [lighting] + [commercial finish]

Dive Into Full prompt Documentation and SpecificationsUnwrap Full Detailed Breakdown

In-Depth prompt Breakdown

A premium glass skincare bottle on a light beige stone pedestal, soft directional studio lighting, subtle shadow, clean editorial composition, luxury e-commerce hero shot, minimal background, realistic reflections, high-end packaging photography.

Key Elements That Enable This Prompt to Produce Outstanding Results

This prompt aligns with Z-Image's strengths in realism, lighting control, and polished commercial visual style.

Target Final Generated Outcome

A polished product image for a landing page, storefront banner, or PDP hero.

Expert Pro Tips for Creative Professionals

Begin by naming your core product, then lock in your preferred shot type and surface configuration for consistent outcomes.
Add specific material terms like glass, stone, matte, or reflective surfaces to cut down on ambiguity in the generated output.

Poster with text

Top-Tier prompt Alignment Benchmarks

Great for poster layouts where clear, legible Chinese or English text is a key requirement.

A bilingual festival poster featuring a prominent Summer Pulse 2026 headline and bold Chinese text.

Bilingual music festival poster

Proven industry-leading Prompt best-practice generation framework

[poster subject] + [headline text] + [text language] + [layout hierarchy] + [background style]

Dive Into Full prompt Documentation and SpecificationsUnwrap Full Detailed Breakdown

In-Depth prompt Breakdown

Modern bilingual music festival poster, bold headline "Summer Pulse 2026", smaller Chinese subtitle "城市电子音乐节", black background with neon orange and cyan accents, clear visual hierarchy, centered headline block, dynamic yet readable event poster design.

Key Elements That Enable This Prompt to Produce Outstanding Results

Z-Image delivers its best results when legible Chinese or English text is integrated into your creative concept, rather than just used as decorative accents.

Target Final Generated Outcome

A text-focused poster concept with a more defined headline block and legible supporting text.

Expert Pro Tips for Creative Professionals

Wrap exact headline text in quotation marks to ensure the model reproduces the wording accurately.
Distinguish your text hierarchy from the overall poster mood and visual style to achieve stronger outcomes.

Image-to-image

Top-Tier prompt Alignment Benchmarks

Perfect for single-reference edits where you want to fully preserve the core object identity while making precise adjustments.

A matte white skincare pump bottle with sage green accents generated via a reference-driven packaging refresh prompt.

Reference-guided packaging update

Proven industry-leading Prompt best-practice generation framework

[what stays the same] + [what changes] + [new lighting/style/composition direction]

Dive Into Full prompt Documentation and SpecificationsUnwrap Full Detailed Breakdown

In-Depth prompt Breakdown

Retain the bottle shape, cap structure, and front-facing composition from the reference image. Adjust the packaging style to a modern matte white and sage green palette, softer studio lighting, cleaner premium skincare branding direction, more polished retail presentation.

Key Elements That Enable This Prompt to Produce Outstanding Results

This aligns with Z-Image's robust single-reference editing capabilities and keeps your request focused.

Target Final Generated Outcome

A targeted refresh that preserves the product identity while refining the packaging direction.

Expert Pro Tips for Creative Professionals

Begin by listing the consistent elements you want to retain, such as object shape, framing, or core product structure.
Keep your requested changes targeted and precise to ensure a single reference image can steer the generation accurately.

Marketing creative

Top-Tier prompt Alignment Benchmarks

Great for high-energy commercial ad concepts that demand clear product focus and vibrant visuals.

An iced coffee ad visual with splashing cold brew against a sunny beach background.

Fast social ad concept for a coffee brand

Proven industry-leading Prompt best-practice generation framework

[subject] + [visual direction] + [composition] + [color / lighting] + [usage context]

Dive Into Full prompt Documentation and SpecificationsUnwrap Full Detailed Breakdown

In-Depth prompt Breakdown

Commercial iced coffee campaign visual, close-up cold brew cup with ice splash, premium coffee packaging beside the drink, bright summer daylight, beachside mood, energetic composition, crisp product photography, premium beverage advertising style, no logos, no brand names, clean packaging design.

Key Elements That Enable This Prompt to Produce Outstanding Results

This prompt clearly outlines product setup, lighting, and campaign goals while omitting branded copy.

Target Final Generated Outcome

A beverage ad direction you can adapt for paid social, seasonal promotions, or a landing page hero.

Expert Pro Tips for Creative Professionals

Mention the marketing channel or intended use context so the composition feels intentional.
Specify one strong action, such as a splash or close-up, rather than multiple conflicting movements.

When to Choose Z-Image

Pick Z-Image When You Prioritize Open Weights and Local Deployment Flexibility

Pick Z-Image when you want clear, visible prompt adjustments, plan to reuse the same model outside this hosted page, or prioritize open model weights and local inference tools.

Select Z-Image When You Want a Single Model You Can Keep Using Long-Term

Choose Z-Image if you want to produce high-quality visuals on this platform first, then keep using the same model family across ComfyUI, local inference runtimes, or fully customized pipelines down the line. This model is a perfect choice when precise prompt control and full model access are your top priorities.

Try Alternative Models When You Prefer Pre-Built Hosted Styles

Try GPT-4o or Seedream if you prefer a distinct pre-built visual style and don’t prioritize open model weights, local deployment, or downstream customization. These hosted tools typically deliver a more streamlined, straightforward generation experience for casual users.

Community Insights & Validation

Community Examples & External Discussions About Z-Image

These curated videos, X posts, and Reddit forum discussions provide real-world external examples and community insights about Z-Image. These resources are most useful as supplementary validation once you’ve grown familiar with the model and the prompt patterns covered earlier.

Curated AI Video Generation Showcase Collection

X Community User-Generated Content Posts

Reddit Active Community Discussion Threads

Open-Source Tooling Ecosystem

Relevant Open-Source Tools & Projects for Z-Image

These GitHub projects have been manually vetted for direct relevance to Z-Image or the wider model family. Use these resources to examine the model, run it locally, or explore how other developers are building integrations and workflows around it.

GitHub Official Open-Source Project Code Repository 01

Tongyi-MAI / Z-Image

Official repository

The official upstream Z-Image repository hosted by Tongyi-MAI. This serves as the primary source for the entire 6B model family, official checkpoints, research report links, and standard inference guidance.

10,481 Total count of GitHub stars given out across the repository

Apache-2.0

Head to the Open-Source Project’s Official Site

GitHub Official Open-Source Project Code Repository 02

Koko-boya / Comfyui-Z-Image-Utilities

ComfyUI utility nodes

A specialized ComfyUI extension built exclusively for Z-Image image generation workflows, with prompt enhancement, image-aware prompting, and a pre-built integrated sampling node.

116 Total count of GitHub stars given out across the repository

Apache-2.0

Head to the Open-Source Project’s Official Site

GitHub Official Open-Source Project Code Repository 03

martin-rizzo / AmazingZImageWorkflow

ComfyUI workflow pack

A full workflow pack for the Z-Image model family within ComfyUI, including pre-defined creative styles, refiner and upscaler steps, and pre-configured setups for GGUF and Safetensors model checkpoints.

398 Total count of GitHub stars given out across the repository

Unlicense

Head to the Open-Source Project’s Official Site

GitHub Official Open-Source Project Code Repository 04

martin-rizzo / ComfyUI-ZImagePowerNodes

ComfyUI custom nodes

A curated set of custom ComfyUI nodes built exclusively for Z-Image and Z-Image-Turbo, including helper tools for style management, latent space setup, and improved workflow ergonomics.

166 Total count of GitHub stars given out across the repository

MIT

Head to the Open-Source Project’s Official Site

FAQs

FAQ

Everything You Need to Know About Seedance 2.5

What is Z-Image?

Z-Image acts as the foundational base model for the wider Z-Image product family, an open-source 6B image foundation model built by Tongyi-MAI. It prioritizes prompt alignment first, offers adaptable visual compatibility, and supports flexible downstream applications from fine-tuning to local self-hosting.

What is Z-Image best for?

Z-Image excels at prompt-guided image generation, poster concept creation, product-centric visuals, and workflows that you can later adapt for ComfyUI, local inference tools, or alternative self-hosted configurations.

Does Z-Image support image-to-image here?

100% yes. Within this platform, Z-Image fully supports both text-to-image and single-reference image-to-image workflows. Upload a single reference image to lock in your core composition, product silhouette, or the overall visual tone for your finished generated assets.

Which aspect ratios does Z-Image support here?

Z-Image provides full support for every major aspect ratio on this platform, spanning 1:1, 4:3, 3:4, 16:9, and 9:16. This range covers everything from standard square formats to portrait, landscape, and social media-optimized creative dimensions.

How do I write better prompts for Z-Image?

Begin by mapping out your core subject, then add precise details around style, camera angle, lighting configuration, materials, and any mandatory text for your finished image. Z-Image delivers its best results when you clearly distinguish non-negotiable elements from flexible variables—this is particularly helpful for poster design, product photography, and single-reference refinement tasks.

When should I use Z-Image instead of GPT-4o or Seedream 4?

Opt for Z-Image if you require an open-source model you can use outside this hosted platform, particularly if precise prompt control and self-hosting capabilities are your primary priorities. Select GPT-4o or Seedream 4 if you mostly want their curated built-in styles and simplified hosted generation workflows.

What is the difference between Z-Image and Z-Image-Turbo?

Z-Image serves as the core 6B foundational model for its product lineup. Z-Image-Turbo is a streamlined, distilled iteration of the base model, tuned for quicker, more lightweight inference. This is why the Turbo variant is a frequent topic of discussion in community workflows and local deployment setups.

Can I use Z-Image images commercially?

The official upstream Z-Image model weights fall under the Apache-2.0 license, but commercial usage of any generated assets relies on your unique use case, content guidelines, and this platform’s terms of service. For professional production work, always follow standard legal and brand approval protocols rather than assuming model outputs are automatically cleared for commercial use.

Is Z-Image open-source and can it be self-hosted?

Without a doubt, yes. Tongyi-MAI published the official upstream Z-Image build, and the model operates natively with diffusers-based pipelines, local inference tools, ComfyUI utility apps, and community workflow bundles. This makes researching, deploying, and refining the model significantly easier than closed, hosted-only AI image generators.

Still have unanswered questions? Our dedicated support team is here to help you

Related Models

Compare Z-Image to Other Image Models on This Platform

If Z-Image doesn’t align with your specific workflow needs, browse these related model pages to compare prompt generation behavior, visual aesthetics, and targeted use cases.

GPT-4o Image Generator

Try GPT-4o if you want a versatile general-purpose hosted image model for quick concepting, targeted edits, and a unique visual generation bias.

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Flux 2 Image Generator

Explore Flux 2 for an alternative way to access high-quality polished image generation, featuring a unique prompt generation response and distinct visual style bias.

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Seedream 4 Image Generator

Compare Z-Image to Seedream 4 if you want a more stylized or cinematic visual direction for your creative image outputs.

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Qwen 2 Image Generator

Explore Qwen 2 for another prompt-guided image generation model with reference-based creation and a unique alternative output style.

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Begin Creating with Z-Image Today

Launch the built-in generator, begin with a detailed prompt or a single reference image, and use Z-Image to run controllable text-to-image generation and simplified single-reference edits right on this platform.

Z-Image AI Image Generator

Writing Strong Z-Image prompts: Practical Templates & Real-World Examples