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mrq
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vall-e
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c127c4e488
vall-e
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vall_e
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models
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mrq
c127c4e488
'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
..
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
'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
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
'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