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GLM-Image

GLM-Image is an image generation model adopts a hybrid autoregressive + diffusion decoder architecture. In general image generation quality, GLM‑Image aligns with mainstream latent diffusion approaches, but it shows significant advantages in text-rendering and knowledge‑intensive generation scenarios. It performs especially well in tasks requiring precise semantic understanding and complex information expression, while maintaining strong capabilities in high‑fidelity and fine‑grained detail generation. In addition to text‑to‑image generation, GLM‑Image also supports a rich set of image‑to‑image tasks including image editing, style transfer, identity‑preserving generation, and multi‑subject consistency.

AttachmentsOpen WeightsMIT

Context Window

10K

Max Output

0

Temperature

No

Open Weights

Yes

Knowledge Cutoff

N/A

Released

2026-01-19

Last Updated

2026-01-19

License

MIT

Modalities

Input:TextImage
→
Output:Image

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