mrq 9dff68c0c5 NAR-len tweaks (remasks a small amount of tokens per step, it seems to help with reducing the number of steps needed some of the time?, disable CFG for the first half to speed things up)		2024-12-04 09:30:29 -06:00
..
arch	sageattn (forgot to bother with testing this the other day, seems ifne)	2024-12-03 15:14:57 -06:00
__init__.py	unified nar.py into ar_nar.py	2024-11-10 12:19:48 -06:00
ar_nar.py	NAR-len tweaks (remasks a small amount of tokens per step, it seems to help with reducing the number of steps needed some of the time?, disable CFG for the first half to speed things up)	2024-12-04 09:30:29 -06:00
base.py	touch ups in docs	2024-12-02 19:10:42 -06:00
experimental.py	moved prints to use logger, edited readme (fused_attn doesnt seem stable for training)	2024-08-29 13:27:16 -05:00
lora.py	naive model offloading support (handles automatically splitting parts of the model to requested device per memory constraints, either inferred or requested in the yaml, input tensors are automatically migrated to the right device, it SEEMS to work for training under the test trainer when split between GPU and CPU) (this was specifically only because that Flux imagegen model released so I can test it there)	2024-08-01 20:12:06 -05:00