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AuraFlow is an open-source family of text-to-image models developed by fal.ai that employs flow-based generative architecture rather than diffusion methods. The models feature modified MMDiT architecture with enhanced computational efficiency and utilize curated training datasets with custom caption systems to improve prompt-image alignment. The family includes iterative releases from v0.1 to v0.3, with each version incorporating architectural improvements and better scaling methodologies for research and creative applications.