There are so many variables. You have the base model, but there’s also the scheduler and the sampler—plus the number of steps. You might even use a LoRA trained with a specific number of steps. When training a LoRA, you can choose settings like high, medium, or low noise bias ...
as well as shift, weighted, sigmoid, or linear approaches. Then there’s the training resolution—and on top of that, you also have the inference shift LoRA number of steps, training rate, batch size, and simulated batch size Could the problem be the model? What about the LoRA? The resolution? A shif…
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- 2026-11-11 20:47 · r/StableDiffusion
There are so many variables. You have the base model, but there’s also the scheduler and the sampler—plus the number of steps. You might even use a LoRA trained with a specific number of steps. When training a LoRA, you can choose settings like high, medium, or low noise bias ...