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I've been playing with StyleSynthesis models lately, and the processing times, especially for higher resolutions or more complex style transfers, can be brutally slow. I'm curious if others have experienced this, and what solutions or optimizations you've found effective.
Beyond the obvious (better GPU, more RAM), are there any specific software tweaks or model parameter adjustments that significantly improve performance? I've experimented with batch sizing and different optimization algorithms, with varying degrees of success. Are there particular model architectures that are known to be more efficient for certain types of style transfer? As a notable example, I've had slightly better luck with models that emphasize feature preservation over perfect style replication when speed is a primary concern.
Any resources, papers, or personal tips you can share would be greatly appreciated! I'm especially interested in approaches that balance speed and quality, as opposed to just brute-force hardware upgrades.