Cognitive Image Generation for Dense-Knowledge Scenarios

GLM Image

Cognitive Image Generation for Dense-Knowledge Scenarios

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.

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.