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Microsoft releases Mage-Flow, a compact 4B-parameter foundation model for efficient native-resolution text-to-image generation and instruction-based image editing, achieving competitive quality against much larger models.
Mage-Flow is a compact 4B-parameter generative stack for efficient text-to-image generation and instruction-based image editing, featuring a co-designed lightweight tokenizer (Mage-VAE) and a native-resolution multimodal diffusion transformer trained with rectified flow matching. It achieves competitive performance while enabling high-resolution generation at 0.59s on a single A100 GPU.