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added detail about "dpm_adaptive"

GoldMath 2023-03-12 01:37:10 +01:00
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How-to-Use.md

@ -23,6 +23,7 @@ Here is a rough overview of the behaviors of different sampler implementations:
Most samplers are deterministic. If re-run with the same seed and settings, it will generate the same image. You can also increase the step size to see if artifacts in the image clear up, but it may be a slightly different image.
Note that **Ancestral** sampler, `euler_a`, `dpm2_a` and `dpmpp_2s_a` are *not always* deterministic. They can create different images when run in different batch sizes.
`dpm_adaptive` use an automatic steps count algorithm, ignoring the user Inference Steps setting.
[![SD2](https://user-images.githubusercontent.com/7282547/222918227-052d5c8f-f6db-4bcb-bfe8-2902228171db.jpg)](https://user-images.githubusercontent.com/7282547/222918227-052d5c8f-f6db-4bcb-bfe8-2902228171db.jpg)