Group 1 - GLM-Image is a new generation image generation model co-developed by Zhiyuan and Huawei, applicable in various fields such as scientific illustrations, multi-panel comics, social media graphics, commercial posters, and realistic photography [2] - GLM-Image is the first state-of-the-art (SOTA) multimodal model trained entirely on domestic chips, demonstrating the feasibility of training cutting-edge models on a domestic full-stack computing foundation [2] - The model training suite developed by Zhiyuan optimizes the end-to-end process of data preprocessing, pre-training, SFT, and post-training using features like dynamic graph multi-level pipeline dispatch and high-performance fusion operators [2] Group 2 - The recent trend in image generation models, represented by Nano Banana Pro, is moving towards a deep integration of image generation and large language models, evolving from single image generation to cognitive generation with world knowledge and reasoning capabilities [3] - GLM-Image employs an innovative "autoregressive + diffusion decoder" hybrid architecture, allowing for the combination of image generation and language models, with an API call cost of only 0.1 yuan per image [3] - The "autoregressive" architecture enhances semantic understanding of instructions and overall composition of images, while the "diffusion decoder" focuses on restoring high-frequency details and text strokes, addressing the model's issue of "forgetting words while drawing" [3]
智谱联合华为开源图像生成模型 GLM-Image