mrq 811b15d280 I suppose I just have a shit training method since the sampler is as solid as I can get it...............		2024-11-08 22:05:41 -06:00
..
arch	Windows specific fixes (to-do: find libespeak-ng.dll automatically because it cannot be trusted to do it by default)	2024-11-03 19:19:15 -06:00
__init__.py	UGH	2024-11-05 22:13:58 -06:00
ar_nar.py	'borrowed' a sampling scheduler for NAR-len's RVQ level 0 (better than before, but still not good enough)	2024-11-07 21:19:14 -06:00
ar.py	I guess I'll fall for the NAR-len meme again (I don't know where my previous weights are, so I need to train it again to test something)	2024-11-06 19:17:12 -06:00
base.py	I suppose I just have a shit training method since the sampler is as solid as I can get it...............	2024-11-08 22:05:41 -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
nar.py	I suppose I just have a shit training method since the sampler is as solid as I can get it...............	2024-11-08 22:05:41 -06:00