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- This sets a step switchover point at which the k-samplers stop using the Karras noise schedule and start using the LatentDiffusion noise schedule. The advantage of this is that the Karras schedule produces excellent results at low step counts but starts to become unstable at high steps. - A new command argument --karras_max, lets the user set where the switchover occurs. Default is 29 steps (1-29 steps Karras), (30 or greater LDM) - Tildebyte, sorry to do a fast forward three-way merge for this but rebasing was just too painful due to extensive recent changes to the diffuser code. |
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.. | ||
__init__.py | ||
classifier.py | ||
cross_attention_control.py | ||
ddim.py | ||
ddpm.py | ||
ksampler.py | ||
plms.py | ||
sampler.py | ||
shared_invokeai_diffusion.py |