8 Commits

Author	SHA1	Message	Date
Any-Winter-4079	e19aab4a9b	Textual Inversion for M1 ... Update main.py Update ddpm.py Update personalized.py Update personalized_style.py Update v1-finetune.yaml Update environment-mac.yaml Rename v1-finetune.yaml to v1-m1-finetune.yaml Create v1-finetune.yaml Update main.py Update main.py Update environment-mac.yaml Update v1-inference.yaml	2022-09-27 01:39:17 +02:00
Mihai	ccb2b7c2fb	Use cuda only when available in main.py. (#567) ... Allows testing textual inversion / training flow on cpu only (very slow though). Context: #508	2022-09-15 07:41:24 -04:00
David Ford	4fad71cd8c	Training optimizations (#217) ... * Optimizations to the training model Based on the changes made in textual_inversion I carried over the relevant changes that improve model training. These changes reduce the amount of memory used, significantly improve the speed at which training runs, and improves the quality of the results. It also fixes the problem where the model trainer wouldn't automatically stop when it hit the set number of steps. * Update main.py Cleaned up whitespace	2022-08-30 15:59:32 -04:00
Lincoln Stein	4f02b72c9c	prettified all the code using "blue" at the urging of @tildebyte	2022-08-26 03:15:42 -04:00
Sean McLellan	a93a79568d	Tweak save_top_k setting	2022-08-23 21:56:05 -04:00
Sean McLellan	8952196bbf	Add personalization	2022-08-23 18:26:28 -04:00
ablattmann	171cf29fb5	add configs for training unconditional/class-conditional ldms	2021-12-22 15:57:23 +01:00
ablattmann	e66308c7f2	add code	2021-12-21 03:23:41 +01:00