GLM-Image – Hybrid autoregressive and diffusion model for detailed image generation

Summary: GLM-Image integrates a 9B autoregressive model with a 7B diffusion decoder to generate knowledge-dense, high-fidelity images. It excels at producing posters, diagrams, and precise text rendering, supporting both text-to-image and image-to-image tasks.

What it does

It uses a 9B autoregressive model for layout and complex prompt understanding, then a 7B diffusion decoder to generate detailed visuals and high-frequency image features.

Who it's for

Ideal for users needing accurate text and spatial relationships in generated images, such as designers and researchers working with complex visual content.

Why it matters

This hybrid approach overcomes limitations of pure diffusion models by improving text accuracy and handling complex spatial layouts in image generation.