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Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing

60 upvotes · 21 JUL 2026 · Xinjie Zhang, Peng Zhang, Shicheng Zheng et al.

This paper introduces Mage-Flow, a compact model for generating and editing high-resolution images, which can be trained efficiently and deployed on a single GPU. Practitioners might care about the potential applications of this model in interactive image editing and generation tasks.

image generationdiffusion-based modelsmultimodal transformersnative-resolution modelscontinual learningefficient deep learning