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Wtf you just straight up stole my post
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I stole this from elsewhere didn't see your post sorry nibba
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@A I am interested any idea why the algorithm treated the same image so much differently?
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You mean when you use the same prompts?
1. Different seed #, it's usually set to be random
2. The popular sampling methods like Euler A and PLMS are non-deterministic. They add random noise to the image.
If you run the exact same prompt on the same model, with the same number of sampling steps, at the same resolution, with the same seed, and a deterministic sampling method then I think you should get the same image.
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Na
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