Lincoln Stein e98fe9c22d fix noisy images at high step counts ... At step counts greater than ~75, the ksamplers start producing noisy images when using the Karras noise schedule. This PR reverts to using the model's own noise schedule, which eliminates the problem at the cost of slowing convergence at lower step counts. This PR also introduces a new CLI `--save_intermediates <n>' argument, which will save every nth intermediate image into a subdirectory named `intermediates/<image_prefix>'. Addresses issue #1083.		2022-10-14 00:01:59 -04:00
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__init__.py	add code	2021-12-21 03:23:41 +01:00
classifier.py	prettified all the code using "blue" at the urging of @tildebyte	2022-08-26 03:15:42 -04:00
ddim.py	rename all modules from ldm.dream to ldm.invoke	2022-10-08 11:37:23 -04:00
ddpm.py	Textual Inversion for M1	2022-09-27 01:39:17 +02:00
ksampler.py	fix noisy images at high step counts	2022-10-14 00:01:59 -04:00
plms.py	rename all modules from ldm.dream to ldm.invoke	2022-10-08 11:37:23 -04:00
sampler.py	fix noisy images at high step counts	2022-10-14 00:01:59 -04:00