mrq ca8cc15271 more tweaks (vall_e.webui --yaml still breaks things, --model needs to deduce what audio backend now that im supporting other ones again // added easy top-sampler settings back for new implementation)		2025-03-14 20:18:25 -05:00
..
arch	len prediction for new model (and remove logit normalization since it kills inferencing)	2025-03-11 20:33:09 -05:00
__init__.py	segregated experimental changes into its own streamlined file to avoid breaking the existing model, and it can pivot to the cleaned up code if it actually works (nothing is working)	2025-02-26 21:26:13 -06:00
ar_nar_v2.py	more tweaks (vall_e.webui --yaml still breaks things, --model needs to deduce what audio backend now that im supporting other ones again // added easy top-sampler settings back for new implementation)	2025-03-14 20:18:25 -05:00
ar_nar.py	a gorillionth time's the charm (aka: the encoder/decoder pill is a tough pill to swallow)	2025-02-28 17:56:50 -06:00
base_v2.py	more tweaks (vall_e.webui --yaml still breaks things, --model needs to deduce what audio backend now that im supporting other ones again // added easy top-sampler settings back for new implementation)	2025-03-14 20:18:25 -05:00
base.py	fix attention backend not being used	2025-02-27 21:38:38 -06:00
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