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GLM-Image is a state-of-the-art open-source image generation model developed by Z.AI (also known as Zhipu AI), released on January 14, 2026. Featuring a groundbreaking hybrid architecture combining a 9B-parameter autoregressive transformer with a 7B-parameter diffusion decoder, GLM-Image achieves industry-leading performance in text rendering (0.9116 CVTG-2K accuracy) and knowledge-intensive content generation.
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GLM-Image Gallery
25 recent outputs generated by GLM-Image, demonstrating text rendering excellence and photorealistic quality. Tap any tile to zoom to full detail.
GLM-Image is a state-of-the-art open-source image generation model developed by Z.AI (also known as Zhipu AI). Released under the Apache-2.0 license, it features a groundbreaking hybrid architecture that combines a 9B-parameter autoregressive transformer with a 7B-parameter diffusion decoder for exceptional text rendering and knowledge-intensive content generation.
GLM-Image combines a 9B-parameter autoregressive transformer (based on GLM-4-9B-0414) with a 7B-parameter diffusion decoder featuring a Glyph Encoder for precise text rendering.
Achieves 0.9116 word accuracy on CVTG-2K benchmark—the highest among open-source models. Handles dense, multi-line, and multi-region text with exceptional precision.
Excels at embedding logical structures and accurate information, outperforming competitors in scenarios requiring deep comprehension like posters, diagrams, and educational content.
Supports resolutions up to 2048×2048 natively, with custom sizes from 512px to 2048px. Optimized aspect ratios include 1:1, 3:4, 4:3, and 16:9.
Key capabilities of GLM-Image that set it apart from other image generation models
Discover the full range of GLM-Image capabilities developed by Z.AI (Zhipu AI).
Common questions about GLM-Image and its capabilities.
Z-Image.ai is an independent AI image-generation service and is not affiliated with, endorsed by, or connected to Alibaba Group or any of its AI models. All references to "Z-Image" relate solely to our own product and technology.
