GLM Image
Cognitive Image Generation for Dense-Knowledge Scenarios

GLM Image is Z.AI's flagship cognitive image generation model designed for poster layouts, PPTs, commercial graphics and scientific illustrations.

Key Features of GLM Image

Powerful image editing capabilities that make professional image creation simple and intuitive.

1. Edit images using simple natural language

With GLM Image, you can edit images just by typing what you want in plain language. No complex tools or settings - tell GLM Image what to change, and it does it for you.

Edit images using simple natural language - Feature Preview

2. Use up to 4 reference images for better results

Upload up to four reference images to guide style, layout, or subject details. GLM Image understands these references and applies them naturally to the final image.

Use up to 4 reference images for better results - Feature Preview

3. Keep important details and identity consistent

GLM Image preserves key elements such as faces, characters, products, and layouts, even when making changes. This is perfect for branding, portraits, and multi-step edits.

Keep important details and identity consistent - Feature Preview

4. Make precise and controllable changes

Change exactly what you want - and nothing more. GLM Image allows fine control over edits, helping you avoid unwanted alterations.

Make precise and controllable changes - Feature Preview

5. Create high-quality, realistic image results

Every output from GLM Image is clean, detailed, and visually faithful. Edits look natural, professional, and ready to use in real projects.

Create high-quality, realistic image results - Feature Preview

Introduce GLM Image

GLM-Image (hereafter GLM Image) is Z.AI's industrial-grade, open-source image generation model dedicated to dense-knowledge and text-intensive scenarios. Unlike conventional diffusion models that focus primarily on aesthetics, GLM Image emphasizes cognitive alignment, enabling it to follow complex instructions, maintain structural relationships between elements and render multi-region textual content with high accuracy.

GLM Image adopts a hybrid architecture that combines a 9B autoregressive reasoning module with a 7B DiT diffusion decoder. The autoregressive component inherits semantic capabilities from GLM-4-9B-0414 and determines global composition, visual hierarchy, layout and text placement. Meanwhile, the diffusion decoder reconstructs high-frequency textures, lighting, typography and fine details. A lightweight glyph encoder further ensures clean, legible multilingual text rendering — a requirement for commercial posters, educational illustrations, UI mockups and social media assets.

GLM Image fits within the emerging "cognitive generative" paradigm, alongside generation models that are capable of reasoning and communicating knowledge rather than merely synthesizing visual aesthetics. As a result, GLM Image excels in scenarios such as science popularization diagrams, multi-panel charts, slide illustrations, labeled diagrams and commercial marketing assets where clarity and semantics matter as much as visual quality.

GLM Image outputs images via URL, allowing seamless integration into websites, automation pipelines, enterprise content systems and design tools. With credit-based billing and no subscription lock-in, GLM Image makes high-fidelity cognitive image generation scalable for individuals, creators and enterprises alike.

GLM Image Introduction

Advantages of GLM Image

Why GLM Image stands out in cognitive image generation.

1.

Built for Dense-Knowledge Communication

GLM Image is designed not only to "look good" but to convey information, making it the first open-source cognitive image generator optimized for posters, PPTs, diagrams and explanatory assets.

2.

SOTA Text Rendering Among Open-Source Models

Benchmarking positions GLM Image as the leading open-source model for complex text rendering, multilingual content and multi-region accuracy — outperforming mainstream diffusion-only models.

3.

Efficient, Predictable & Scalable Production

Credit-based pricing enables predictable cost structures for individuals and enterprises. No subscription lock-in and linear scaling make GLM Image ideal for continuous content pipelines and A/B testing.

4.

Open-Source & Ecosystem-Friendly

GLM Image is fully open-source and available across Z.ai, GitHub and HuggingFace, enabling researchers, enterprises and tool developers to build upon and integrate the model without black-box limitations.

GLM Image Use Cases

GLM Image is optimized for scenarios where clarity, structure, knowledge and typography matter.

Commercial Poster - Use Case Preview

Commercial Poster

It can generate festival posters and commercial promotional images with complete composition, clear visual hierarchy, and prominent overall design sense, support the precise embedding and stable presentation of text content, and is suitable for various commercial scenarios such as brand communication and market promotion.

Popular Science Illustration - Use Case Preview

Popular Science Illustration

More adept at creating popular science illustrations and schematic diagrams of principles that include complex logical relationships, process descriptions, and text annotations, capable of clearly and accurately conveying the knowledge structure and core information while ensuring the aesthetic appeal of the visuals.

Multi-Panel Drawing - Use Case Preview

Multi-Panel Drawing

When generating multi-panel images such as e-commerce display images and story comics, GLM-Image can effectively maintain the consistency of the overall content style and the main subject's image, while significantly improving the accuracy of text generation in multiple locations to ensure content coherence and unified expression.

Social Media Images and Texts - Use Case Preview

Social Media Images and Texts

Suitable for creating social media graphic content with relatively complex cover design and layout structure, it supports flexible typesetting and diverse expression, making the creative process more efficient and the presentation more rich and diverse.

In all these scenarios, GLM Image outperforms models that lack cognitive reasoning or multilingual text handling capabilities.

GLM Image AI Pricing

Choose Your GLM Image AI Credit Pack

GLM Image uses a simple credit system: 6 credits = 1 generated image. Get credits to generate high-quality images with GLM Image AI. All plans include text-to-image generation, multilingual text rendering, flexible resolutions, and one-time payment.

Starter

$9.9one-time
240 Credits
240 Credits
$0.041 per credit
Text-to-image generation
High-resolution output
Flexible aspect ratios
Multilingual text rendering
One-time payment
Most Popular

Basic

$29.9one-time
800 Credits
800 Credits
$0.037 per credit
Text-to-image generation
High-resolution output
Flexible aspect ratios
Image editing capabilities
Multilingual text rendering
One-time payment

Plus

$49.9one-time
1660 Credits
1660 Credits
$0.030 per credit
Text-to-image generation
High-resolution output
Flexible aspect ratios
Image editing capabilities
Style transfer
Identity-preserving generation
Multilingual text rendering
One-time payment

Choose one-time credits • Flexible billing options

Choose one-timeCredits never expireSecure paymentsEmail support support@glmimageai.co

❓ FAQs about GLM Image

Everything you need to know about GLM Image.

GLM Image is an open-source cognitive image generation model from Z.AI that produces dense-knowledge, text-heavy and high-fidelity visual content.

GLM Image uses a credit-based system. 6 credits = 1 image. Credit packages are prepaid and one-time.

Images can be generated at 512px–2048px with multiple aspect ratios including 1:1, 3:4, 4:3 and 16:9.

Yes. GLM Image achieves open-source SOTA text rendering in both English and Chinese.

No. Credits are one-time top-up. No recurring billing.

Credits do not expire for individual usage. Enterprise terms may vary.

Yes. Image-to-image operations are supported and consume 6 credits per image.

Yes. The model is available at Z.ai, GitHub and HuggingFace.

Designers, marketers, developers, educators, researchers and enterprises requiring cognitive-generation capabilities.