GLM-Image

GLM-Image is an advanced open-source AI image generator developed by Z.AI (Zhipu AI), released in 2026. It uses a hybrid architecture combining a 9 billion parameter autoregressive transformer with a 7 billion parameter diffusion decoder, enabling it to generate high-quality images with exceptional text rendering accuracy. This model excels in producing photorealistic images and handling complex, dense, multi-line text within images, making it suitable for a wide range of content generation tasks, including adult content creation.

The tool targets digital artists, content creators, educators, and anyone needing precise image generation with integrated text. Its ability to embed logical structures and knowledge-intensive content makes it useful for creating detailed posters, diagrams, and other complex visuals. Adult content creators can leverage its photorealistic generation and text rendering capabilities to produce customized images with fine detail.

GLM-Image offers privacy and discretion by operating independently on its own infrastructure, deploying Apache-2.0 licensed models without affiliation to external providers. User prompts and generated images are not used for training the model, and users can delete their data, ensuring control over personal content. The platform emphasizes user privacy and does not share data with third parties.

The model supports high-resolution outputs up to 2048×2048 pixels, with flexible aspect ratios including 1:1, 3:4, 4:3, and 16:9. Users can generate images from text prompts or perform image-to-image editing, maintaining multi-subject consistency and following user instructions closely. This versatility allows for detailed customization and high-quality results.

GLM-Image stands out for its text rendering excellence, achieving a 0.9116 word accuracy on the CVTG-2K benchmark, the highest among open-source models. Its hybrid architecture with a Glyph Encoder enables precise handling of text within images, a feature not commonly found in other AI image generators.

Technically, GLM-Image combines autoregressive transformers and diffusion decoders, optimized on Z.AI's infrastructure. It supports bilingual text rendering and knowledge integration, making it capable of generating content that requires deep comprehension and logical structure.

Pricing is credit-based, with users purchasing credits to generate images. Credits are consumed per task rather than being a currency. Various plans offer different credit amounts with bonuses, allowing users to select options that fit their usage needs. The platform is not subscription-based and credits do not expire, providing flexibility for users.