Selecting the best of five random seeds for guided diffusion improves reconstructed image quality over a single random seed, and early-step selection recovers most of the gain at half the compute.
Adding Conditional Control to Text-to-Image Diffusion Models,
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Seed Selection for Human-Oriented Image Reconstruction via Guided Diffusion
Selecting the best of five random seeds for guided diffusion improves reconstructed image quality over a single random seed, and early-step selection recovers most of the gain at half the compute.