GLM Image is a multimodal generative framework for developers and researchers that facilitates high-fidelity visual synthesis through text-to-image and image-to-image processing.

• Generates high-resolution raster graphics from natural language prompts using a transformer-based diffusion architecture.
• Executes image-to-image translations by applying stylistic and structural modifications to existing input tensors while preserving semantic integrity.
• Supports zero-shot visual reasoning for complex scene composition and precise spatial relationship mapping between generated entities.
• Provides API-driven integration for Python-based environments, allowing for programmatic control over sampling steps and guidance scales.
• Optimized for deployment on NVIDIA A100 and H100 GPUs with support for FP16 and INT8 quantization to minimize VRAM consumption during inference.
• Utilizes the GLM-4 backbone for enhanced alignment between textual descriptions and visual output characteristics.

Ideal for automating digital asset creation in game development, synthetic data generation for computer vision training, and rapid prototyping in industrial design.