Image Diffusion Preview with Consistency Solver
Summary
From DeepMind, this work uses consistency-based solvers to let users preview diffusion model outputs much more quickly than running a full sampling schedule. The idea is to generate rough-but-faithful previews that can guide prompt iteration and editing, then refine on demand. It’s another example of how inference-side tricks—not just bigger models—are improving practical usability of image generation.
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