Z-Image AI Image Generator

Efficient 6B-parameter image generation model with photorealistic quality and bilingual text rendering.

6B parameters
Single-Stream Diffusion Transformer
Photorealistic bilingual images
Z-Image Demo
Z-Image is currently free to use — no credits required during the preview period.

Z-Image Gallery Showcase

Explore stunning images generated with z-image. Each image showcases the model's photorealistic quality, bilingual text rendering, and efficient generation capabilities.

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Core Capabilities of Z-Image

Z-Image is designed as an efficient foundation model that combines compact architecture with strong visual quality. With Z-Image, you can ship photorealistic generations, bilingual designs, and knowledge-rich imagery without compromising on speed or hardware accessibility.

Photorealistic Z-Image Quality

Z-Image delivers photography-level realism with fine control over lighting, materials, and scene composition. With Z-Image, teams can generate images that feel naturally captured rather than obviously synthetic, while still benefitting from controllable style and structure.

Ultra-Fast Z-Image Inference

Z-Image achieves ultra-fast inference with only a handful of sampling steps, enabling near real-time creative exploration. On enterprise-grade H800 GPUs, Z-Image can reach sub-second latency so product designers, marketers, and researchers can iterate without waiting.

Bilingual Z-Image Text Rendering

Z-Image is optimized for bilingual text rendering, handling both Chinese and English text in the same frame. Whether you are composing posters, UI mockups, or content with dense labels, Z-Image maintains legible typography while preserving overall facial realism and scene aesthetics.

Efficient 6B Z-Image Architecture

Built as a 6B-parameter single-stream diffusion transformer, Z-Image unifies conditional inputs with image latents to maximize efficiency. Z-Image couples Decoupled-DMD distillation with DMDR reinforcement learning so you get top-tier performance without needing massive model sizes.

Z-Image Capabilities Showcase

Explore how Z-Image applies world knowledge, semantic reasoning, and instruction following to different domains. Across product photography, posters, UI concepts, and educational visuals, Z-Image balances fidelity and control so results stay coherent, bilingual, and on brief.

Photorealistic Z-Image Generation

Z-Image specializes in photorealistic generation that can stand beside high-quality photography. With Z-Image, you can control pose, lighting, background, and styling while keeping faces, materials, and scene structure naturally consistent from one prompt to the next.

Bilingual Z-Image Text Rendering

Z-Image accurately renders both Chinese and English text inside the same layout, from title cards and banners to dense UI mockups. Z-Image keeps typography sharp and legible while still balancing overall composition, facial realism, and visual storytelling.

World Knowledge in Z-Image

Trained with rich world knowledge, Z-Image understands cultural references, domains, and scenarios. When you prompt Z-Image with complex concepts or multi-part instructions, the model draws on structured knowledge to keep details grounded instead of hallucinated.

Semantic Reasoning with Z-Image

Z-Image uses structured semantic reasoning to understand relationships between objects, layout, and text. This lets Z-Image follow logic and common sense—for example, aligning text with hero objects, placing labels on the right surfaces, and keeping shadows and reflections consistent.

Creative Editing with Z-Image

Beyond pure generation, Z-Image can be guided to perform creative editing such as style shifts, background swaps, and targeted transformations. Z-Image responds to precise instructions so you can upgrade campaigns, product shots, and visual narratives without starting from scratch.

Instruction Following in Z-Image

Z-Image is tuned for instruction following that respects granular constraints. When you specify colors, camera angles, copy variants, or layout rules, Z-Image treats them as hard requirements, giving teams repeatable behavior for design systems, branding, and multi-language workflows.

Simple Pricing

Choose Your Perfect Plan

All plans include HD video exports with our Seedance Pro AI video generation tool.

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One-Time Purchase

Pay once and use credits anytime - they never expire

Starter

$10one-time
  • 100 credits one time purchase
  • AI Image Generator & Video Generator
  • HD video quality (1080p)
  • Commercial use license
  • Download enabled
  • Email support
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Premium

$30one-time
  • 330 credits one time purchase
  • HD video quality (1080p)
  • AI Image Generator & Video Generator
  • Commercial use license
  • Priority download speed
  • Priority customer support
  • Advanced video effects

Ultimate

$99one-time
  • 1211 credits one time purchase
  • AI Image Generator & Video Generator
  • HD video quality (1080p)
  • Commercial use license
  • Fastest download speed
  • Premium 24/7 support
  • Advanced video effects
  • Early access to new features
  • API access (coming soon)

Monthly Subscription

Get fresh credits every month with automatic renewal. Subscription plans offer 20% more credits compared to one-time purchases.

Starter

$10/month
  • 120 credits monthly
  • AI Image Generator & Video Generator
  • HD video quality (1080p)
  • Commercial use license
  • Download enabled
  • Email support

Premium

$30/month
  • 396 credits monthly
  • HD video quality (1080p)
  • AI Image Generator & Video Generator
  • Commercial use license
  • Priority download speed
  • Priority customer support
  • Advanced video effects

Ultimate

$99/month
  • 1453 credits monthly
  • AI Image Generator & Video Generator
  • HD video quality (1080p)
  • Commercial use license
  • Fastest download speed
  • Premium 24/7 support
  • Advanced video effects
  • Early access to new features
  • API access (coming soon)

FAQs about Z-Image

Learn how Z-Image fits into your image generation, editing, and design workflows.

What is Z-Image?

Z-Image is an efficient 6-billion-parameter foundation model for image generation. Z-Image demonstrates that top-tier performance is possible without enormous model sizes, delivering strong photorealistic generation, bilingual text rendering, and practical deployment characteristics.

What are the main features of Z-Image?

Z-Image focuses on photorealistic image generation, bilingual text rendering in both English and Chinese, ultra-fast inference with only a few sampling steps, efficient VRAM usage that fits consumer GPUs, rich world knowledge, and creative editing capabilities. With Z-Image, teams can reliably move from text prompts to production-ready visuals.

What models are available in the Z-Image family?

We offer two specialized models: Z-Image-Turbo for high-speed text-to-image generation and Z-Image-Edit for editing workflows. Z-Image-Turbo is a distilled variant optimized for 8-step inference, while Z-Image-Edit specializes in image-to-image transformations, complex instruction following, and layout-preserving changes.

What hardware is required to run Z-Image?

Z-Image is designed to run smoothly on accessible hardware. Z-Image fits consumer-grade GPUs with less than 16GB of VRAM for everyday experimentation and prototyping. On enterprise-grade H800 GPUs, Z-Image can achieve sub-second inference latency for interactive creative sessions and production services.

Is Z-Image open source?

Yes. Z-Image is released with model code, weights, and an online demo across GitHub, ModelScope, and HuggingFace. This open distribution allows researchers, practitioners, and product teams to inspect Z-Image, fine-tune it for their own domains, and build tools and workflows on top of the same foundation.

What makes Z-Image unique compared to other image models?

Z-Image adopts a single-stream diffusion transformer architecture that unifies conditional inputs with image latents instead of keeping them separate. Combined with Decoupled-DMD distillation and DMDR reinforcement learning, Z-Image reaches strong performance with a compact 6B configuration, focusing on efficiency, controllability, and bilingual rendering.