Now fully launched and available for all public community usersMay 2025

Z-Image AI Image Generator

Created by Tongyi-MAI, Z-Image is an open-source 6B foundational image model built for tight prompt alignment, flexible visual output, and specialized downstream variants like Turbo and Edit. Use this browser-native tool to execute text-to-image and streamlined single-reference image-to-image workflows entirely within your web browser.

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 when needed, and polish your results with quick, targeted adjustments while keeping your prompt clear and precisely defined.

Map your core subject and visual goals

Write out a detailed prompt that covers your core subject, camera angle, lighting setup, composition, and any mandatory text for your final image.

Upload One Reference Image When Needed

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

Generate Quick Variations and Refine Results

Create images in your preferred aspect ratio, compare multiple generated options, and adjust your prompt until the composition and any included text align perfectly 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 known for reliable prompt alignment, a robust library of variant models, and fully supported local deployment workflows.

Open-Source 6B Core Base Model

Z-Image serves as the core base model for the entire product suite, allowing developers and creators to 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 fully public and accessible via GitHub and Hugging Face.

It acts as the foundation for downstream suite variants including 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 Clear, Predictable Outputs

Official documentation highlights robust prompt alignment and effective negative prompt practices, ensuring your prompt adjustments are accurately 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 final image.

This level of control is particularly helpful 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.

One Base Model for Flexible Visual Styles and Use Cases

As the uncompressed base model, Z-Image allows you to shift seamlessly 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 locking you into a single aesthetic too early in your creative workflow.

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

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

Full Local Runtime Support and ComfyUI Integration Compatibility

Z-Image natively supports diffusers-based pipelines, local inference tools, ComfyUI utility apps, and community workflow packs.

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

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

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

Top Use Cases

Ideal Use Cases for Z-Image

Designed for prompt-guided image generation, poster layout design, product-focused 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-Driven Creative Concepts

Leverage Z-Image for event posters, social media graphics, and layout-focused creative work where precise prompt control and clear, readable text are required.

Reference-Driven Image Refinement

Refine a single reference image to adjust style, framing, or overall visual tone without rebuilding your core concept from the ground up.

Self-Hosted & Workflow-Oriented Deployment

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

Proven Prompt Prompt Templates & Real-World Use Cases

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

Each example card highlights a proven prompt prompt framework, 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 creating your own prompts using these examples as a reference.

Product visual

Leading prompt Alignment Benchmark Standards

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 guide

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

Dive into Complete prompt Documentation and Technical SpecificationsReveal Full Comprehensive Breakdown

Detailed 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 Standout, High-quality Outputs

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

Desired Final Generated Project Outcome

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

Expert Insider Tips for Creative Industry Professionals

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

Poster with text

Leading prompt Alignment Benchmark Standards

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 guide

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

Dive into Complete prompt Documentation and Technical SpecificationsReveal Full Comprehensive Breakdown

Detailed 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 Standout, High-quality Outputs

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

Desired Final Generated Project Outcome

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

Expert Insider Tips for Creative Industry Professionals

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

Image-to-image

Leading prompt Alignment Benchmark Standards

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 guide

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

Dive into Complete prompt Documentation and Technical SpecificationsReveal Full Comprehensive Breakdown

Detailed 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 Standout, High-quality Outputs

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

Desired Final Generated Project Outcome

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

Expert Insider Tips for Creative Industry 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 guide the generation accurately.

Marketing creative

Leading prompt Alignment Benchmark Standards

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 guide

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

Dive into Complete prompt Documentation and Technical SpecificationsReveal Full Comprehensive Breakdown

Detailed 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 Standout, High-quality Outputs

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

Desired Final Generated Project Outcome

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

Expert Insider Tips for Creative Industry Professionals

Note the marketing channel or intended use context so the composition feels intentional.
Name one clear action, like 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

Opt for 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.

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

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

Test 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 offer a more simplified, straightforward generation experience for casual users.

Community Insights & Validation

Community Examples & External Conversations 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 frameworks covered earlier.

Curated Showcase of AI Video Generation Works

Creator-shared community content posts from the X Social Platform

Vibrant Reddit Community Conversation Threads

Open-Source Tooling Ecosystem

Curated Open-Source Tools & Projects for Z-Image

These GitHub projects have been manually vetted for direct relevance to Z-Image or the broader model suite. 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 serves 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 accrued across the project repository

Apache-2.0

Visit the Official Hub for the 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 accrued across the project repository

Apache-2.0

Visit the Official Hub for the 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 suite 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 accrued across the project repository

Unlicense

Visit the Official Hub for the 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 solely 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 accrued across the project repository

MIT

Visit the Official Hub for the Open-Source Project

FAQs

FAQ

All the key details you need to know about GPT Image 2.5 and our platform

What is Z-Image?

Z-Image acts as the core base model for the wider Z-Image product suite, an open-source 6B image foundation model developed by Tongyi-MAI. It emphasizes prompt alignment, offers flexible visual adaptability, and supports a broad set of downstream use cases 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-focused visuals, and workflows you can later adapt for ComfyUI, local inference tools, or alternative self-hosted configurations.

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

Without a doubt. On 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 overall visual tone for your final generated assets.

Which aspect ratios does Z-Image support here?

Z-Image provides full support for all major aspect ratios on this platform, including 1:1, 4:3, 3:4, 16:9, and 9:16. This range covers everything from standard square layouts 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 specific details about style, camera angle, lighting setup, materials, and any mandatory text for your final image. Z-Image delivers optimal 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?

Choose Z-Image if you require an open-source model you can use outside this hosted platform, especially if precise prompt control and self-hosting features are your top priorities. Opt for GPT-4o or Seedream 4 if you mostly prefer 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 suite. Z-Image-Turbo is a streamlined, condensed version of the base model, tuned for faster, more lightweight inference. This is why the Turbo variant is a frequent topic of conversation 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 usage of any generated assets depends on your specific 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?

100% 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 easier 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 align with 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

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

Explore Our Curated Set of Associated AI Models

Flux 2 AI Image Generator

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

Explore Our Curated Set of Associated AI Models

Seedream 4 Image Generator

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

Explore Our Curated Set of Associated AI Models

Qwen 2 Image Generator

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

Explore Our Curated Set of Associated AI Models

Start Creating Visuals 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 directly on this platform.

Z-Image AI Image Generator

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