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User-driven parameter optimization

With over a million monthly generated photos, Levels randomly tested generation parameters like step count and sampler on 10% of users. He measured favorites and downloads to statistically determine which settings produced better images before rolling them out universally.

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Pieter Levels on Bootstrapping Startups, AI Image Models, and Indie Development

Original excerpt

on like 10% of the users, I would randomly test parameters and then I would see if they would, because you can favor the photo or you can download it, I would measure if they favor it or like the photo. And then I would A/B test
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