vall-e/vall_e/models
2025-03-07 13:55:57 -06:00
..
arch ugh 2025-03-07 13:55:57 -06:00
__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 QoL so I can stop having to manually inject different configs 2025-03-06 14:48:14 -06:00
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 gut feeling to change the attention mask 2025-03-07 13:51:59 -06:00
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