InvokeAI/ldm
Lincoln Stein c4fb8e304b 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 16:19:45 -04:00
..
data Textual Inversion for M1 2022-09-27 01:39:17 +02:00
invoke fix noisy images at high step counts 2022-10-14 16:19:45 -04:00
models fix noisy images at high step counts 2022-10-14 16:19:45 -04:00
modules rename all modules from ldm.dream to ldm.invoke 2022-10-08 11:37:23 -04:00
generate.py reintroduce fix for m1 from PR#579 missing after merge 2022-10-11 21:50:59 +02:00
lr_scheduler.py prettified all the code using "blue" at the urging of @tildebyte 2022-08-26 03:15:42 -04:00
simplet2i.py Squashed commit of the following: 2022-09-12 14:31:48 -04:00
util.py * Fix for Perlin noise issue for cuda as well. 2022-10-09 08:24:02 -04:00