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wassname/denoising-diffusion-pytorch
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mirror of https://github.com/wassname/denoising-diffusion-pytorch.git synced 2026-09-09 11:21:11 +08:00
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180 Commits 2 Branches 127 Tags
patch-1
Commit Graph
9 Commits
Author SHA1 Message Date
Phil Wang 689593a579 add the new self conditioning technique from hintons group from bit diffusion paper
0.27.0
2022-08-10 10:52:07 -07:00
Phil Wang 931a5af2c3 bring in ddim sampling 2022-07-09 16:10:23 -07:00
Phil Wang 662172851b add convert_image_to keyword argument, for forcing images being loaded to be converted to some format, greyscale, rgb, rgba, whatever 2022-07-08 09:22:59 -07:00
Phil Wang caa5af170d final cleanup 2022-05-12 13:58:16 -07:00
Phil Wang 55c658b967 cleanup unused 2022-05-12 11:52:06 -07:00
Phil Wang e0f26677d6 make sure predicted mean is actually detached for all of the kl loss calculations 2022-05-12 11:12:34 -07:00
Phil Wang e147839d74 make sure to clip when sampling from gaussian diffusion with learned variance 2022-05-12 10:08:53 -07:00
Phil Wang 62e8490385 complete the gaussian diffusion with hybrid loss (learned variance) as in the improved ddpm paper 2022-05-12 08:54:47 -07:00
Phil Wang d412d8816b first pass at ddpm with learned variance 2022-05-11 17:38:29 -07:00
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