mrq b1f4db39c8 threw in CFG sampling for normal model as well to experiment with		2024-11-11 20:27:38 -06:00
..
arch	This better work	2024-11-09 18:04:59 -06:00
__init__.py	unified nar.py into ar_nar.py	2024-11-10 12:19:48 -06:00
ar_nar.py	threw in CFG sampling for normal model as well to experiment with	2024-11-11 20:27:38 -06:00
base.py	overhauled inference/sampler kwargs to stop being a bloated mess	2024-11-11 20:21:16 -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