vall-e/vall_e/models
2025-03-31 20:59:13 -05:00
..
arch tweaks 2025-03-28 19:49:54 -05:00
__init__.py nothing could go wrong part 2 (reverted and rewrote commits since there was a nasty regression) 2025-03-25 23:06:16 -05:00
ar_nar_v2.py should never have trusted mse_loss, it never works 2025-03-31 20:59:13 -05:00
ar_nar.py nothing could go wrong part 2 (reverted and rewrote commits since there was a nasty regression) 2025-03-25 23:06:16 -05:00
base_v2.py should never have trusted mse_loss, it never works 2025-03-31 20:59:13 -05:00
base.py nothing could go wrong part 2 (reverted and rewrote commits since there was a nasty regression) 2025-03-25 23:06:16 -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