zai-org/GLM-Image

Health v2 · maintenance only

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1019 stars · 93 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GLM-Image is an open-source image generation model combining a 9B autoregressive generator with a 7B diffusion decoder, excelling at text rendering and knowledge-intensive image generation. It supports text-to-image and image-to-image tasks including editing, style transfer, and identity-preserving generation.

Use cases

• generate images from text prompts
• render accurate text inside generated images
• edit images with natural language instructions
• style transfer on photos
• generate images with consistent subjects across multiple outputs
• create high-resolution detailed images from descriptions

When to choose

• you need precise text rendering within generated images
• you need both text-to-image and image editing in one model
• knowledge-dense images like posters, infographics, or diagrams are your target
• you want high-fidelity 1K-2K resolution outputs

When to avoid

• you only need lightweight or real-time image generation on consumer hardware
• you prefer mature latent diffusion ecosystems like Stable Diffusion with extensive tooling
• you cannot run 16B+ parameter models on GPU

Facets

library · maturity active

image-processing machine-learning deep-learning llm-inference artificial-intelligence image-processing deep-learning large-language-models python text-to-image image-to-image image-editing text-rendering diffusion autoregressive image-generation huggingface gpu linux

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markdown · JSON · MCP: product_card(name="zai-org/GLM-Image")