GLM-Image (huggingface.co)

The newly announced GLM-Image is an advanced image generation model that employs a hybrid autoregressive and diffusion decoder architecture. This innovative design aligns with current mainstream latent diffusion methodologies while demonstrating notable strengths in areas requiring precise semantic understanding and text rendering. With its capabilities extending beyond text-to-image generation, GLM-Image also excels at various image-to-image tasks, including editing, style transfer, and identity-preserving generation. Key technical features of GLM-Image include a 9B-parameter autoregressive generator that initiates high-resolution image outputs from visual tokens and a 7B-parameter diffusion decoder enhanced with a Glyph Encoder for better text rendering. The model undergoes post-training with decoupled reinforcement learning, optimizing both semantic accuracy and the quality of visual details. Supporting extensive image generation tasks in a single framework, GLM-Image promises to elevate creative applications in AI/ML by facilitating high-fidelity images that embrace complex information, making it a significant addition to the toolkit of developers and artists alike.