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Why does nobody mention prompt drift in AI image tools?

Been messing with an AI image generator since March and noticed the same prompt gives totally different results now vs then, even with the same seed. The devs never flag version changes on their end, so I wasted like 2 days chasing a style that used to work for my trucking company's safety posters. Anyone else seeing their old prompts produce garbage after a backend update?
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jessicac28
The backend drift is real but nobody wants to own it because that means admitting their model isn't stable. Midjourney and Stable Diffusion both silently swapped their VAE and upscaler weights last year and every old tutorial became useless overnight. You gotta start screenshotting your exact settings plus the model hash every time you run a batch, then treat every update like a fresh install. Also save your reference images separately because the ones embedded in old generations will pull current weights when you reuse them, which just compounds the problem.
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