Direct Preference Optimization (DPO) is a method to align diffusion models to text human preferences by directly optimizing on human comparison data

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Run time and cost

This model runs on Nvidia A40 (Large) GPU hardware. Predictions typically complete within 16 seconds. The predict time for this model varies significantly based on the inputs.