Now officially live and available to all public community members.May 2025

Z-Image AI Image Generator

Developed by Tongyi-MAI, Z-Image is an open-source 6B foundational image model built for exact prompt alignment, flexible visual output, and specialized downstream variants such as Turbo and Edit. Use this browser-integrated tool to run text-to-image and streamlined single-reference image-to-image workflows fully within your web browser.

Start Using Z-Image

Simplify text-to-image and streamlined single-reference image-to-image workflows by generating high-quality visuals with Z-Image right on this platform.

Start with a detailed prompt, upload one reference image when required, and refine your results with fast, targeted tweaks while keeping your prompt clear and precisely defined.

Map your core subject and visual goals

Draft a detailed prompt that outlines your core subject, camera angle, lighting setup, composition, and any required text for your finished image.

Upload One Reference Image When Needed

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

Generate Quick Variations and Refine Results

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

Core Advantages of Z-Image

What Sets Z-Image Apart as a Premium Base Image Model

Z-Image is an open-source 6B foundational model recognized for dependable prompt alignment, a comprehensive library of variant models, and fully supported local deployment workflows.

Open-Source 6B Core Base Model

Z-Image acts as the core base model for the entire product lineup, letting developers and creators inspect, 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 completely public and available via GitHub and Hugging Face.

It serves as the foundation for downstream lineup variants including Z-Image-Turbo and Z-Image-Edit.

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

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

Official documentation emphasizes robust prompt alignment and effective negative prompt practices, making sure your prompt adjustments are accurately mirrored in the final generated output.

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

This level of control is especially useful for poster design, product photography, and layout-sensitive prompt projects.

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

One Base Model for Flexible Visual Styles and Use Cases

As the non-condensed base model, Z-Image lets you shift smoothly between realistic photography, polished poster layouts, and more stylized creative directions without switching between different model families.

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

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

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

Full Local Runtime Support and ComfyUI Integration Compatibility

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

Proven local inference workflows and community-built tools are already available, instead of only relying on hosted demo versions.

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

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

Top Use Cases

Ideal Use Cases for Z-Image

Built for prompt-guided image generation, poster layout design, product-focused visuals, and single-reference refinement work right on this platform.

Prompt-Driven Product & Marketing Visuals

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

Poster & Typography-Driven Creative Concepts

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

Reference-Driven Image Refinement

Tweak one reference image to adjust style, framing, or overall visual mood without rebuilding your core concept from scratch.

Self-Hosted & Workflow-Oriented Deployment

Pick Z-Image if you intend to deploy the same model across ComfyUI, local inference runtimes, or a fully customized image generation pipeline later on.

Proven Prompt Prompt Templates & Real-World Use Cases

Crafting Effective Z-Image prompts: Practical Templates & Real-World Examples

Every example card showcases a proven prompt prompt framework, a real-world Z-Image generated output, and the precise writing choices that drove its success. Click to expand each card to see the full prompt, breakdown of why it works well, and tips for building your own prompts using these examples as a reference.

Product visual

Industry-leading prompt Alignment Benchmark Criteria

Ideal for crisp product visuals with exact commercial lighting control.

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

Premium skincare product hero image

Proven industry-standard Prompt best-practice generation workflow blueprint

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

Browse complete prompt documentation and technical specificationsShow full detailed breakdown

Comprehensive prompt Breakdown and Overview

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.

Core functional components that enable this Prompt to deliver exceptional, high-quality results

This prompt matches Z-Image's strengths in realism, lighting control, and refined commercial visual style.

Target final generated project results

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

Expert pro tips from industry creatives for professional creators

Start by naming your core product, then lock in your preferred shot type and surface setup for consistent results.
Include specific material terms like glass, stone, matte, or reflective surfaces to reduce uncertainty in the generated output.

Poster with text

Industry-leading prompt Alignment Benchmark Criteria

Ideal 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-standard Prompt best-practice generation workflow blueprint

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

Browse complete prompt documentation and technical specificationsShow full detailed breakdown

Comprehensive prompt Breakdown and Overview

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.

Core functional components that enable this Prompt to deliver exceptional, high-quality results

Z-Image produces optimal results when legible Chinese or English text is integrated into your creative concept, instead of just used as decorative flourishes.

Target final generated project results

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

Expert pro tips from industry creatives for professional creators

Enclose exact headline text in quotation marks to make sure the model reproduces the wording correctly.
Differentiate your text hierarchy from the overall poster tone and visual style to get better results.

Image-to-image

Industry-leading prompt Alignment Benchmark Criteria

Ideal for single-reference edits where you want to fully keep the core object identity while making exact 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-standard Prompt best-practice generation workflow blueprint

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

Browse complete prompt documentation and technical specificationsShow full detailed breakdown

Comprehensive prompt Breakdown and Overview

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

Core functional components that enable this Prompt to deliver exceptional, high-quality results

This matches Z-Image's comprehensive single-reference editing capabilities and keeps your request focused.

Target final generated project results

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

Expert pro tips from industry creatives for professional creators

Start by listing the consistent elements you want to keep, such as object shape, framing, or core product structure.
Keep your requested changes focused and exact to make sure one reference image can guide the generation correctly.

Marketing creative

Industry-leading prompt Alignment Benchmark Criteria

Ideal for high-energy commercial ad concepts that need clear product focus and bold visuals.

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

Quick Social Ad Concept for a Coffee Brand

Proven industry-standard Prompt best-practice generation workflow blueprint

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

Browse complete prompt documentation and technical specificationsShow full detailed breakdown

Comprehensive prompt Breakdown and Overview

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.

Core functional components that enable this Prompt to deliver exceptional, high-quality results

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

Target final generated project results

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

Expert pro tips from industry creatives for professional creators

Mention the marketing channel or intended use context so the composition feels deliberate.
Name one strong action, like a splash or close-up, instead of multiple conflicting movements.

When to Choose Z-Image

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

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

Pick Z-Image When You Want a Single Model You Can Use Long-Term

Choose Z-Image if you want to generate high-quality visuals on this platform first, then keep using the same model lineup across ComfyUI, local inference runtimes, or fully customized pipelines later on. This model is an ideal pick when exact prompt control and full model access are your top priorities.

Test Alternative Models When You Prefer Pre-Built Hosted Styles

Test 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 usually provide a more streamlined, straightforward generation experience for casual users.

Community Insights & Validation

Community Examples & External Conversations About Z-Image

These curated videos, X posts, and Reddit forum conversations offer real-world external examples and community insights about Z-Image. These resources are most helpful as supplementary validation once you’ve become familiar with the model and the prompt frameworks covered earlier.

Curated gallery of AI-generated video creations

Community content posts shared by creators across the X social platform

Active Reddit community discussion threads

Open-Source Tooling Ecosystem

Curated Open-Source Tools & Projects for Z-Image

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

GitHub Publicly available source code repository for the official open-source project 01

Tongyi-MAI / Z-Image

Official repository

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

10,481 Total number of GitHub stars earned across the project’s repository

Apache-2.0

Explore the official hub for this open-source project

GitHub Publicly available source code repository for the official open-source project 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 number of GitHub stars earned across the project’s repository

Apache-2.0

Explore the official hub for this open-source project

GitHub Publicly available source code repository for the official open-source project 03

martin-rizzo / AmazingZImageWorkflow

ComfyUI workflow pack

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

398 Total number of GitHub stars earned across the project’s repository

Unlicense

Explore the official hub for this open-source project

GitHub Publicly available source code repository for the official open-source project 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 number of GitHub stars earned across the project’s repository

MIT

Explore the official hub for this open-source project

FAQs

FAQ

Everything you need to know about Image To Video AI and our platform

What is Z-Image?

Z-Image serves as the core base model for the broader Z-Image product lineup, an open-source 6B image foundation model created by Tongyi-MAI. It prioritizes prompt alignment, provides flexible visual adaptability, and supports a wide range of downstream use cases spanning fine-tuning to local self-hosting.

What is Z-Image best for?

Z-Image shines at prompt-guided image generation, poster concept development, product-focused visuals, and workflows you can later adapt for ComfyUI, local inference tools, or alternate self-hosted setups.

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

Absolutely. On this platform, Z-Image fully supports both text-to-image and single-reference image-to-image workflows. Upload one reference image to lock in your core composition, product silhouette, or overall visual mood for your final generated assets.

Which aspect ratios does Z-Image support here?

Z-Image offers full support for all major aspect ratios on this platform, including 1:1, 4:3, 3:4, 16:9, and 9:16. This selection covers everything from standard square layouts to portrait, landscape, and social media-optimized creative sizes.

How do I write better prompts for Z-Image?

Start by outlining your core subject, then add specific details about style, camera angle, lighting setup, materials, and any required text for your finished image. Z-Image produces optimal results when you clearly separate non-negotiable elements from flexible variables—this is especially useful for poster design, product photography, and single-reference refinement work.

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

Pick Z-Image if you need an open-source model you can use outside this hosted platform, particularly if precise prompt control and self-hosting features are your top priorities. Go with GPT-4o or Seedream 4 if you primarily prefer their curated built-in styles and streamlined hosted generation workflows.

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

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

Can I use Z-Image images commercially?

The official upstream Z-Image model weights are licensed under Apache-2.0, but commercial use of any generated assets depends on your specific use case, content guidelines, and this platform’s terms of service. For professional production work, always adhere to standard legal and brand approval protocols instead of assuming model outputs are automatically approved for commercial use.

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

Absolutely yes. Tongyi-MAI released the official upstream Z-Image build, and the model runs natively with diffusers-based pipelines, local inference tools, ComfyUI utility apps, and community workflow packs. This makes researching, deploying, and refining the model far simpler than closed, hosted-only AI image generators.

Still have questions? Our support team is ready to help.

Related Models

Side-by-Side Comparison of Z-Image vs. Other Image Models on This Platform

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

GPT-4o AI Image Generator

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

Discover our curated lineup of related AI models

Flux 2 AI Image Generator

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

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Seedream 4 Image Generator

Side-by-side compare Z-Image against 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

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

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Start Creating Visuals with Z-Image Today

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

Z-Image AI Image Generator

Crafting Effective Z-Image prompts: Practical Templates & Real-World Examples