New Model Architecture

GLM Image
GLM Image AI Generation

GLM Image is a powerful 16B-parameter AI model featuring hybrid autoregressive + diffusion architecture. With GLM Image, you can generate high-quality images with exceptional text-rendering accuracy and knowledge-intensive visual content from text or image inputs.

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Why Choose GLM Image
GLM Image Advanced Features

GLM Image combines a 9B autoregressive generator with a 7B diffusion decoder for superior text rendering and knowledge-intensive generation. GLM Image excels at semantic understanding and complex visual content creation with high-fidelity details.

Feature

GLM Image Hybrid Architecture

GLM Image features a cutting-edge hybrid autoregressive + diffusion decoder architecture with 16B total parameters. The model includes a specialized Glyph Encoder for exceptional text-rendering accuracy.

GLM Image Text Rendering Excellence

GLM Image achieves 0.9116 word accuracy on CVTG-2K benchmark, outperforming comparable open-source models. GLM Image excels at generating images with accurate text and complex information expression.

GLM Image Knowledge-Intensive Generation

GLM Image demonstrates significant advantages in knowledge-intensive scenarios, maintaining semantic understanding and high-fidelity detail generation for complex visual tasks.

GLM Image Advanced Training

GLM Image uses decoupled reinforcement learning with GRPO algorithm and modular feedback strategies for optimized aesthetic alignment, semantic accuracy, and text fidelity.

GLM Image FAQ

Everything About GLM Image

Learn how GLM Image works and how its hybrid architecture enables exceptional text-rendering accuracy and knowledge-intensive visual generation.

GLM Image is a 16B-parameter AI model featuring hybrid autoregressive + diffusion architecture. GLM Image supports both text-to-image and image-to-image generation, including image editing, style transfer, and identity-preserving generation.
GLM Image combines a 9B autoregressive generator with a 7B diffusion decoder and specialized Glyph Encoder. This hybrid architecture enables GLM Image to achieve exceptional text-rendering accuracy and excel at knowledge-intensive generation tasks.
GLM Image achieves 0.9116 word accuracy on the CVTG-2K benchmark, significantly outperforming comparable open-source models. GLM Image's Glyph Encoder specializes in generating accurate text within images.
GLM Image uses decoupled reinforcement learning with the GRPO algorithm. GLM Image employs modular feedback strategies that separately optimize aesthetic/semantic alignment and detail fidelity/text accuracy for superior results.
GLM Image supports text-to-image generation, image-to-image editing, style transfer, identity-preserving generation, and multi-subject consistency work. GLM Image excels particularly at knowledge-intensive scenarios requiring semantic understanding.
GLM Image demonstrates significant advantages in knowledge-intensive generation scenarios. GLM Image maintains high semantic understanding and can express complex information while preserving high-fidelity details.
GLM Image requires either a single GPU with 80GB+ memory or a multi-GPU setup. Target image resolution must be divisible by 32. GLM Image is released under MIT License with Apache 2.0 components.

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Generate stunning visuals with GLM Image's hybrid architecture. Experience exceptional text-rendering accuracy and knowledge-intensive image generation with GLM Image for professional-quality results.

  • Generate images with GLM Image's 16B-parameter hybrid architecture
  • Achieve exceptional text-rendering accuracy with GLM Image
  • Create knowledge-intensive visuals with GLM Image's semantic understanding
  • Edit, style transfer, and generate consistent images with GLM Image