Patrick Esser
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046410167f
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solve interpretability
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2022-06-13 10:56:17 +00:00 |
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Patrick Esser
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3c77204c0a
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experimental support for guided upscale sampling
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2022-06-13 10:44:10 +00:00 |
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rromb
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255d479088
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add logging for upscaler
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2022-06-13 10:43:41 +02:00 |
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rromb
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c5a39aff8a
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add upscaling
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2022-06-13 00:39:48 +02:00 |
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Patrick Esser
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250f89c1a3
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initial code to try and resume larger models from smaller models
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2022-06-11 18:35:49 -04:00 |
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rromb
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9cda7feafa
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eval stuff
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2022-06-09 10:56:34 +02:00 |
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rromb
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a0f390afb6
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dynamic thresholding (maybe?)
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2022-06-05 19:22:07 +02:00 |
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Patrick Esser
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cb0414d89b
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goooo
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2022-06-01 09:14:09 +00:00 |
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root
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3769989f20
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Merge remote-tracking branch 'github/main' into main
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2022-06-01 08:51:55 +00:00 |
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Patrick Esser
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2cbbb3148a
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optional use of ema
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2022-06-01 08:46:11 +00:00 |
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rromb
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fff19bf82e
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handle listconfig
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2022-06-01 09:52:17 +02:00 |
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rromb
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b3a604d870
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add cfg to log_images
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2022-06-01 09:36:48 +02:00 |
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rromb
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9a419a1b14
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first (in)stable steps
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2022-05-27 11:46:04 +02:00 |
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Katherine Crowson
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66df437e52
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Combine the two classifier-free guidance model outputs into a single batch
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2022-04-05 11:35:05 -07:00 |
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Katherine Crowson
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f0c4e092c1
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Add PLMS sampling
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2022-04-04 14:45:35 -07:00 |
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Robin Rombach
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32c525011b
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unconditional guidance with general s!=1.0
Example: "negative weights"
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2022-04-04 22:31:35 +02:00 |
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rromb
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a80ed7987e
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add new models
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2022-04-04 16:17:48 +02:00 |
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Robin Rombach
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2b46bcb98c
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Update ddpm.py
clean up no.1
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2022-01-17 21:24:19 +01:00 |
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ablattmann
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171cf29fb5
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add configs for training unconditional/class-conditional ldms
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2021-12-22 15:57:23 +01:00 |
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ablattmann
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e66308c7f2
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add code
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2021-12-21 03:23:41 +01:00 |
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