mrq 1a02cd5bce modify demo template to say F5 instead of YourTTS, swap LoRA comparison around to make the lora'd the base file, and the no-lora the suffix'd file		2024-10-21 19:52:02 -05:00
..
arch	made greedy AR sampling viable (and preferable), with caveats (per comment in vall_e.models.ar_nar)	2024-10-18 16:55:00 -05:00
__init__.py	readme tweaks, set the (unused) default model download URL back to the base ar+nar-llama-8 model, as ar+nar-tts+stt-llama-8 was renamed back to it since it performs well	2024-10-05 22:53:53 -05:00
ar_nar.py	modify demo template to say F5 instead of YourTTS, swap LoRA comparison around to make the lora'd the base file, and the no-lora the suffix'd file	2024-10-21 19:52:02 -05:00
ar.py	added prefixing with silence (was to test something, currently hidden under cfg.experimental=True)	2024-10-18 17:19:52 -05:00
base.py	made greedy AR sampling viable (and preferable), with caveats (per comment in vall_e.models.ar_nar)	2024-10-18 16:55:00 -05:00
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	cleaned up unused config flags, allow less strict yaml by pruning missing keys, renamed some dataset configs to be more unified	2024-10-17 17:06:48 -05:00