[Feature] GLM-Image support #1192
Description
Feature Summary
add support for it, please
Detailed Description
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.
Model architecture: a hybrid autoregressive + diffusion decoder design.
GLM-Image supports both text-to-image and image-to-image generation within a single model.
Text-to-image: generates high-detail images from textual descriptions, with particularly strong performance in information-dense scenarios.
Image-to-image: supports a wide range of tasks, including image editing, style transfer, multi-subject consistency, and identity-preserving generation for people and objects.
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Additional context
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