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
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diffusion	fix noisy images at high step counts	2022-10-14 16:19:45 -04:00
autoencoder.py	prettified all the code using "blue" at the urging of @tildebyte	2022-08-26 03:15:42 -04:00