FLUX Reason 6M FLUX Reason 6M is a massive, 6 million scale text to image dataset engineered to instill complex reasoning capabilities in generative models. This dataset was created to bridge the performance gap between open source and leading closed source text to image systems. This dataset contains: 6 million high quality, reasoning focused images synthesized by the state of the art FLUX.1 dev model. 20 million bilingual (English and Chinese) descriptions , providing a rich, multi faceted annotation for each image. Pioneering Generation Chain of Thought (GCoT) prompts that provide detailed, step by step breakdowns of the image generation process, moving beyond simple descriptions to explain compositional and semantic logic. A systematic organization across six key reasoning characteristics : Imagination, Entity, Text rendering, Style, Affection, and Composition. The creation of this dataset was a significant undertaking, requiring 15,000 A100 GPU days . We are releasing it to provide the community with a resource previously unattainable outside of large industrial labs. See our paper for more details! Dataset Architectural Design The core of FLUX Reason 6M is its multidimensiona…
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