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21 JUL 2026 · Paper

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

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 generation diffusion-based models multimodal transformers native-resolution models continual learning efficient deep learning

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